[{"additional":"","additionalPlain":"","categories":{"commitment":"Full- Time","department":"Engineering","location":"San Francisco, CA","team":"Artificial Intelligence","allLocations":["San Francisco, CA"]},"createdAt":1776882850139,"descriptionPlain":"Draup is a Series A-funded agentic AI company building the intelligence layer for how global enterprises make workforce and go-to-market decisions. We work with 250+ enterprise clients — including 5 of the Fortune 10 — processing 1B+ job descriptions, 850M+ professional profiles, and signals from 100+ labor databases.\n\nWe are now building our Silicon Valley engineering team — a small, senior group focused on next-generation AI research and product.\n\nLocation: San Francisco, SoMa — minimum 4 days per week in-office.\n\nWhat you'll do\n\n• Build and maintain production-grade LLM pipelines and agentic workflows.\n• Design and optimize RAG architectures using vector databases (Pinecone, FAISS, Weaviate) at scale.\n• Implement agentic systems using LangGraph, LlamaIndex, or equivalent: tool use, multi-agent coordination, and reasoning loops.\n• Own prompt engineering, model versioning, evaluation (RAGAS, DeepEval), and LLMOps instrumentation.\n• Integrate AI features into large-scale data pipelines; maintain observability and guardrails in production.\n\nWhat we require\n\n• BS/MS in Computer Science, Machine Learning, or related field.\n• 3–5 years of AI/ML engineering; minimum 2 years building LLM-powered systems shipped to production.\n• Strong Python; PyTorch or Hugging Face Transformers; AWS or GCP; Docker/Kubernetes.\n• Portfolio of shipped AI work required — agentic pipelines, RAG systems, or fine-tuned models.\n• No visa sponsorship. Must be authorized to work in the US without current or future employer sponsorship.\n","description":"<div>Draup is a Series A-funded agentic AI company building the intelligence layer for how global enterprises make workforce and go-to-market decisions. We work with 250+ enterprise clients — including 5 of the Fortune 10 — processing 1B+ job descriptions, 850M+ professional profiles, and signals from 100+ labor databases.</div><div><br></div><div>We are now building our Silicon Valley engineering team — a small, senior group focused on next-generation AI research and product.</div><div><br></div><div>Location: San Francisco, SoMa — minimum 4 days per week in-office.</div><div><br></div><div>What you'll do</div><div><br></div><div>• Build and maintain production-grade LLM pipelines and agentic workflows.</div><div>• Design and optimize RAG architectures using vector databases (Pinecone, FAISS, Weaviate) at scale.</div><div>• Implement agentic systems using LangGraph, LlamaIndex, or equivalent: tool use, multi-agent coordination, and reasoning loops.</div><div>• Own prompt engineering, model versioning, evaluation (RAGAS, DeepEval), and LLMOps instrumentation.</div><div>• Integrate AI features into large-scale data pipelines; maintain observability and guardrails in production.</div><div><br></div><div>What we require</div><div><br></div><div>• BS/MS in Computer Science, Machine Learning, or related field.</div><div>• 3–5 years of AI/ML engineering; minimum 2 years building LLM-powered systems shipped to production.</div><div>• Strong Python; PyTorch or Hugging Face Transformers; AWS or GCP; Docker/Kubernetes.</div><div>• Portfolio of shipped AI work required — agentic pipelines, RAG systems, or fine-tuned models.</div><div>• No visa sponsorship. Must be authorized to work in the US without current or future employer sponsorship.</div>","id":"9e92ee57-64d5-493d-8f7d-42ac429ca826","lists":[],"text":"AI/ML Engineer","country":"US","workplaceType":"hybrid","opening":"","openingPlain":"","descriptionBody":"<div>Draup is a Series A-funded agentic AI company building the intelligence layer for how global enterprises make workforce and go-to-market decisions. We work with 250+ enterprise clients — including 5 of the Fortune 10 — processing 1B+ job descriptions, 850M+ professional profiles, and signals from 100+ labor databases.</div><div><br></div><div>We are now building our Silicon Valley engineering team — a small, senior group focused on next-generation AI research and product.</div><div><br></div><div>Location: San Francisco, SoMa — minimum 4 days per week in-office.</div><div><br></div><div>What you'll do</div><div><br></div><div>• Build and maintain production-grade LLM pipelines and agentic workflows.</div><div>• Design and optimize RAG architectures using vector databases (Pinecone, FAISS, Weaviate) at scale.</div><div>• Implement agentic systems using LangGraph, LlamaIndex, or equivalent: tool use, multi-agent coordination, and reasoning loops.</div><div>• Own prompt engineering, model versioning, evaluation (RAGAS, DeepEval), and LLMOps instrumentation.</div><div>• Integrate AI features into large-scale data pipelines; maintain observability and guardrails in production.</div><div><br></div><div>What we require</div><div><br></div><div>• BS/MS in Computer Science, Machine Learning, or related field.</div><div>• 3–5 years of AI/ML engineering; minimum 2 years building LLM-powered systems shipped to production.</div><div>• Strong Python; PyTorch or Hugging Face Transformers; AWS or GCP; Docker/Kubernetes.</div><div>• Portfolio of shipped AI work required — agentic pipelines, RAG systems, or fine-tuned models.</div><div>• No visa sponsorship. Must be authorized to work in the US without current or future employer sponsorship.</div>","descriptionBodyPlain":"Draup is a Series A-funded agentic AI company building the intelligence layer for how global enterprises make workforce and go-to-market decisions. We work with 250+ enterprise clients — including 5 of the Fortune 10 — processing 1B+ job descriptions, 850M+ professional profiles, and signals from 100+ labor databases.\n\nWe are now building our Silicon Valley engineering team — a small, senior group focused on next-generation AI research and product.\n\nLocation: San Francisco, SoMa — minimum 4 days per week in-office.\n\nWhat you'll do\n\n• Build and maintain production-grade LLM pipelines and agentic workflows.\n• Design and optimize RAG architectures using vector databases (Pinecone, FAISS, Weaviate) at scale.\n• Implement agentic systems using LangGraph, LlamaIndex, or equivalent: tool use, multi-agent coordination, and reasoning loops.\n• Own prompt engineering, model versioning, evaluation (RAGAS, DeepEval), and LLMOps instrumentation.\n• Integrate AI features into large-scale data pipelines; maintain observability and guardrails in production.\n\nWhat we require\n\n• BS/MS in Computer Science, Machine Learning, or related field.\n• 3–5 years of AI/ML engineering; minimum 2 years building LLM-powered systems shipped to production.\n• Strong Python; PyTorch or Hugging Face Transformers; AWS or GCP; Docker/Kubernetes.\n• Portfolio of shipped AI work required — agentic pipelines, RAG systems, or fine-tuned models.\n• No visa sponsorship. Must be authorized to work in the US without current or future employer sponsorship.\n","hostedUrl":"https://jobs.lever.co/hophr/9e92ee57-64d5-493d-8f7d-42ac429ca826","applyUrl":"https://jobs.lever.co/hophr/9e92ee57-64d5-493d-8f7d-42ac429ca826/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full- Time","department":"Data Science","location":"New York City, NY","team":"Analytics","allLocations":["New York City, NY"]},"createdAt":1777594434702,"descriptionPlain":"Our client, a Fortune 500 healthcare company, is hiring an Analytics Solutions Lead within their Analytics & Behavior Change (A&BC) organization. A&BC works to solve some of the most challenging problems at the intersection of technology and healthcare — leveraging advanced analytics, machine learning, modeling, and hypothesis-driven approaches to transform data into actionable, customer-centric insights that drive growth and improve health outcomes for 100+ million customers.\nIn this role, you will serve as a strategic partner to internal and external stakeholders, translating business needs into actionable data science requirements and delivering high-impact analytical solutions. You will lead consulting engagements, manage data science pods, and craft compelling analytical narratives that influence executive decision-making.\n\nKey Responsibilities:\n\n• Translate business needs into clear, actionable data science requirements\n• Manage data science pods to implement analytical models tailored to pharmaceutical customer needs (predictive modeling, machine learning, etc.)\n• Apply strong analytical capabilities in Excel and BI tools (Power BI, Tableau) to translate modeling outputs into client-ready deliverables\n• Coordinate cross-functional program delivery across internal stakeholders to integrate existing capabilities into new customer-facing analytics solutions\n• Draft, refine, and deliver analytical stories to internal and external executive audiences\n• Partner with Product Management to relay customer insights and influence roadmap prioritization\n• Scope work plans, build delivery timelines, and plan resources for analytical consulting engagements\n• Identify project opportunities from data and analytics discovery and surface them to business partners\n• Work cross-functionally with product partners to standardize and accelerate analytics reporting outcomes\n\nRequired Qualifications:\n\n• 5+ years in Consulting, Program Management, Business Operations or Strategy\n• 3+ years in analytics or management consulting, delivering executive-level presentations and strategic  recommendations\n• 3+ years with data visualization and manipulation in Excel; exposure to Tableau / Power BI\n• 2+ years working with Data Science or Data Engineering teams, translating between technical and business stakeholders for healthcare analytics\n• 2+ years of program management for complex, multi-stakeholder initiatives\n• 2+ years building executive-grade PowerPoint presentations\n• 1+ year in healthcare, preferably pharmaceutical / life sciences (commercial, clinical, or market access analytics)\n\nPreferred Qualifications:\n\n• Familiarity with medical and pharmacy claims data\n• Demonstrated proficiency in SQL\n• Exposure to predictive modeling, ML, or advanced statistical techniques on healthcare datasets\n• Strong verbal and written communication; able to craft compelling narratives from complex data\n","description":"<div>Our client, a Fortune 500 healthcare company, is hiring an Analytics Solutions Lead within their Analytics &amp; Behavior Change (A&amp;BC) organization. A&amp;BC works to solve some of the most challenging problems at the intersection of technology and healthcare — leveraging advanced analytics, machine learning, modeling, and hypothesis-driven approaches to transform data into actionable, customer-centric insights that drive growth and improve health outcomes for 100+ million customers.</div>\n<div>In this role, you will serve as a strategic partner to internal and external stakeholders, translating business needs into actionable data science requirements and delivering high-impact analytical solutions. You will lead consulting engagements, manage data science pods, and craft compelling analytical narratives that influence executive decision-making.<br><br></div>\n<div><strong>Key Responsibilities:</strong><br><br></div>\n<div>• Translate business needs into clear, actionable data science requirements</div>\n<div>• Manage data science pods to implement analytical models tailored to pharmaceutical customer needs (predictive modeling, machine learning, etc.)</div>\n<div>• Apply strong analytical capabilities in Excel and BI tools (Power BI, Tableau) to translate modeling outputs into client-ready deliverables</div>\n<div>• Coordinate cross-functional program delivery across internal stakeholders to integrate existing capabilities into new customer-facing analytics solutions</div>\n<div>• Draft, refine, and deliver analytical stories to internal and external executive audiences</div>\n<div>• Partner with Product Management to relay customer insights and influence roadmap prioritization</div>\n<div>• Scope work plans, build delivery timelines, and plan resources for analytical consulting engagements</div>\n<div>• Identify project opportunities from data and analytics discovery and surface them to business partners</div>\n<div>• Work cross-functionally with product partners to standardize and accelerate analytics reporting outcomes<br><br></div>\n<div><strong>Required Qualifications:<br><br></strong></div>\n<div>• 5+ years in Consulting, Program Management, Business Operations or Strategy</div>\n<div>• 3+ years in analytics or management consulting, delivering executive-level presentations and strategic&nbsp; recommendations</div>\n<div>• 3+ years with data visualization and manipulation in Excel; exposure to Tableau / Power BI</div>\n<div>• 2+ years working with Data Science or Data Engineering teams, translating between technical and business stakeholders for healthcare analytics</div>\n<div>• 2+ years of program management for complex, multi-stakeholder initiatives</div>\n<div>• 2+ years building executive-grade PowerPoint presentations</div>\n<div>• 1+ year in healthcare, preferably pharmaceutical / life sciences (commercial, clinical, or market access analytics)<br><br></div>\n<div><strong>Preferred Qualifications:<br><br></strong></div>\n<div>• Familiarity with medical and pharmacy claims data</div>\n<div>• Demonstrated proficiency in SQL</div>\n<div>• Exposure to predictive modeling, ML, or advanced statistical techniques on healthcare datasets</div>\n<div>• Strong verbal and written communication; able to craft compelling narratives from complex data</div>","id":"8b0889a4-325a-424f-b4f9-601a458f353b","lists":[{"text":"Education","content":"\n<li><strong>Bachelor’s degree, </strong>preferably&nbsp;<strong>in STEM field</strong>&nbsp;(e.g., Science, Technology, Engineering, Mathematics) required.</li>\n<li><strong>Advanced degree</strong>&nbsp;(Master’s in Analytics, Data Science, MPH, or MBA) preferred.<br><br><br><br><br></li>\n"}],"salaryRange":{"min":142140,"max":284280,"currency":"USD","interval":"per-year-salary"},"salaryDescription":"<div><strong>This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. &nbsp;The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. &nbsp;This position is eligible for a company Health bonus, commission or short-term incentive program in addition to the base pay range listed above. &nbsp;This position also includes an award target in the company’s equity award program.&nbsp;<br>&nbsp;<br><br><br><br><br><br>This role will be hybrid (1-2 days/week onsitie) in office in NYC (Soho).</strong></div>","salaryDescriptionPlain":"This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls.  The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors.  This position is eligible for a company Health bonus, commission or short-term incentive program in addition to the base pay range listed above.  This position also includes an award target in the company’s equity award program. \n \n\n\n\n\n\nThis role will be hybrid (1-2 days/week onsitie) in office in NYC (Soho).\n","text":"Analytics Solutions Lead, Pharma","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"<div>Our client, a Fortune 500 healthcare company, is hiring an Analytics Solutions Lead within their Analytics &amp; Behavior Change (A&amp;BC) organization. A&amp;BC works to solve some of the most challenging problems at the intersection of technology and healthcare &mdash; leveraging advanced analytics, machine learning, modeling, and hypothesis-driven approaches to transform data into actionable, customer-centric insights that drive growth and improve health outcomes for 100+ million customers.</div>\n<div>In this role, you will serve as a strategic partner to internal and external stakeholders, translating business needs into actionable data science requirements and delivering high-impact analytical solutions. You will lead consulting engagements, manage data science pods, and craft compelling analytical narratives that influence executive decision-making.<br><br></div>\n<div><strong>Key Responsibilities:</strong><br><br></div>\n<div>&bull; Translate business needs into clear, actionable data science requirements</div>\n<div>&bull; Manage data science pods to implement analytical models tailored to pharmaceutical customer needs (predictive modeling, machine learning, etc.)</div>\n<div>&bull; Apply strong analytical capabilities in Excel and BI tools (Power BI, Tableau) to translate modeling outputs into client-ready deliverables</div>\n<div>&bull; Coordinate cross-functional program delivery across internal stakeholders to integrate existing capabilities into new customer-facing analytics solutions</div>\n<div>&bull; Draft, refine, and deliver analytical stories to internal and external executive audiences</div>\n<div>&bull; Partner with Product Management to relay customer insights and influence roadmap prioritization</div>\n<div>&bull; Scope work plans, build delivery timelines, and plan resources for analytical consulting engagements</div>\n<div>&bull; Identify project opportunities from data and analytics discovery and surface them to business partners</div>\n<div>&bull; Work cross-functionally with product partners to standardize and accelerate analytics reporting outcomes<br><br></div>\n<div><strong>Required Qualifications:<br><br></strong></div>\n<div>&bull; 5+ years in Consulting, Program Management, Business Operations or Strategy</div>\n<div>&bull; 3+ years in analytics or management consulting, delivering executive-level presentations and strategic&nbsp; recommendations</div>\n<div>&bull; 3+ years with data visualization and manipulation in Excel; exposure to Tableau / Power BI</div>\n<div>&bull; 2+ years working with Data Science or Data Engineering teams, translating between technical and business stakeholders for healthcare analytics</div>\n<div>&bull; 2+ years of program management for complex, multi-stakeholder initiatives</div>\n<div>&bull; 2+ years building executive-grade PowerPoint presentations</div>\n<div>&bull; 1+ year in healthcare, preferably pharmaceutical / life sciences (commercial, clinical, or market access analytics)<br><br></div>\n<div><strong>Preferred Qualifications:<br><br></strong></div>\n<div>&bull; Familiarity with medical and pharmacy claims data</div>\n<div>&bull; Demonstrated proficiency in SQL</div>\n<div>&bull; Exposure to predictive modeling, ML, or advanced statistical techniques on healthcare datasets</div>\n<div>&bull; Strong verbal and written communication; able to craft compelling narratives from complex data</div>","descriptionBodyPlain":"Our client, a Fortune 500 healthcare company, is hiring an Analytics Solutions Lead within their Analytics & Behavior Change (A&BC) organization. A&BC works to solve some of the most challenging problems at the intersection of technology and healthcare — leveraging advanced analytics, machine learning, modeling, and hypothesis-driven approaches to transform data into actionable, customer-centric insights that drive growth and improve health outcomes for 100+ million customers.\nIn this role, you will serve as a strategic partner to internal and external stakeholders, translating business needs into actionable data science requirements and delivering high-impact analytical solutions. You will lead consulting engagements, manage data science pods, and craft compelling analytical narratives that influence executive decision-making.\n\nKey Responsibilities:\n\n• Translate business needs into clear, actionable data science requirements\n• Manage data science pods to implement analytical models tailored to pharmaceutical customer needs (predictive modeling, machine learning, etc.)\n• Apply strong analytical capabilities in Excel and BI tools (Power BI, Tableau) to translate modeling outputs into client-ready deliverables\n• Coordinate cross-functional program delivery across internal stakeholders to integrate existing capabilities into new customer-facing analytics solutions\n• Draft, refine, and deliver analytical stories to internal and external executive audiences\n• Partner with Product Management to relay customer insights and influence roadmap prioritization\n• Scope work plans, build delivery timelines, and plan resources for analytical consulting engagements\n• Identify project opportunities from data and analytics discovery and surface them to business partners\n• Work cross-functionally with product partners to standardize and accelerate analytics reporting outcomes\n\nRequired Qualifications:\n\n• 5+ years in Consulting, Program Management, Business Operations or Strategy\n• 3+ years in analytics or management consulting, delivering executive-level presentations and strategic  recommendations\n• 3+ years with data visualization and manipulation in Excel; exposure to Tableau / Power BI\n• 2+ years working with Data Science or Data Engineering teams, translating between technical and business stakeholders for healthcare analytics\n• 2+ years of program management for complex, multi-stakeholder initiatives\n• 2+ years building executive-grade PowerPoint presentations\n• 1+ year in healthcare, preferably pharmaceutical / life sciences (commercial, clinical, or market access analytics)\n\nPreferred Qualifications:\n\n• Familiarity with medical and pharmacy claims data\n• Demonstrated proficiency in SQL\n• Exposure to predictive modeling, ML, or advanced statistical techniques on healthcare datasets\n• Strong verbal and written communication; able to craft compelling narratives from complex data\n","hostedUrl":"https://jobs.lever.co/hophr/8b0889a4-325a-424f-b4f9-601a458f353b","applyUrl":"https://jobs.lever.co/hophr/8b0889a4-325a-424f-b4f9-601a458f353b/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full- Time","department":"Engineering","location":"San Francisco, CA","team":"Artificial Intelligence","allLocations":["San Francisco, CA"]},"createdAt":1776882897561,"descriptionPlain":"Draup is a Series A-funded agentic AI company building the intelligence layer for how global enterprises make workforce and go-to-market decisions. We work with 250+ enterprise clients — including 5 of the Fortune 10 — processing 1B+ job descriptions, 850M+ professional profiles, and signals from 100+ labor databases.\n\nWe are now building our Silicon Valley engineering team — a small, senior group focused on next-generation AI research and product.\n\nLocation: San Francisco, SoMa — minimum 4 days per week in-office.\n\nWhat you'll do\n\n• Build and maintain ML models for classification, extraction, trend detection, and predictive scoring on large structured and unstructured datasets.\n• Design experiments and benchmarks to measure model accuracy, reduce bias, and validate outputs at scale.\n• Apply NLP techniques — embeddings, NER, text classification — to real-world data pipelines.\n• Partner with engineering to move models from experimentation to production; own monitoring and drift detection.\n• Build evaluation frameworks for AI-generated outputs across multiple product use cases.\n\nWhat we require\n\n• BS/MS in Statistics, Computer Science, Applied Mathematics, or a quantitative field.\n• 3–5 years of applied data science; minimum 2 years working with NLP or large-scale text data in production.\n• Strong Python (pandas, scikit-learn, PyTorch or TensorFlow); proficient in SQL.\n• Demonstrated track record of shipping models into production, not just producing analysis.\n• Experience with embedding models and semantic similarity at enterprise scale.\n• No visa sponsorship. Must be authorized to work in the US without current or future employer sponsorship.\n","description":"<div>Draup is a Series A-funded agentic AI company building the intelligence layer for how global enterprises make workforce and go-to-market decisions. We work with 250+ enterprise clients — including 5 of the Fortune 10 — processing 1B+ job descriptions, 850M+ professional profiles, and signals from 100+ labor databases.</div><div><br></div><div>We are now building our Silicon Valley engineering team — a small, senior group focused on next-generation AI research and product.</div><div><br></div><div>Location: San Francisco, SoMa — minimum 4 days per week in-office.</div><div><br></div><div>What you'll do</div><div><br></div><div>• Build and maintain ML models for classification, extraction, trend detection, and predictive scoring on large structured and unstructured datasets.</div><div>• Design experiments and benchmarks to measure model accuracy, reduce bias, and validate outputs at scale.</div><div>• Apply NLP techniques — embeddings, NER, text classification — to real-world data pipelines.</div><div>• Partner with engineering to move models from experimentation to production; own monitoring and drift detection.</div><div>• Build evaluation frameworks for AI-generated outputs across multiple product use cases.</div><div><br></div><div>What we require</div><div><br></div><div>• BS/MS in Statistics, Computer Science, Applied Mathematics, or a quantitative field.</div><div>• 3–5 years of applied data science; minimum 2 years working with NLP or large-scale text data in production.</div><div>• Strong Python (pandas, scikit-learn, PyTorch or TensorFlow); proficient in SQL.</div><div>• Demonstrated track record of shipping models into production, not just producing analysis.</div><div>• Experience with embedding models and semantic similarity at enterprise scale.</div><div>• No visa sponsorship. Must be authorized to work in the US without current or future employer sponsorship.</div>","id":"8f90e46c-ef76-4617-ab5d-b2a429306e5b","lists":[],"text":"Applied Data Scientist","country":"US","workplaceType":"hybrid","opening":"","openingPlain":"","descriptionBody":"<div>Draup is a Series A-funded agentic AI company building the intelligence layer for how global enterprises make workforce and go-to-market decisions. We work with 250+ enterprise clients — including 5 of the Fortune 10 — processing 1B+ job descriptions, 850M+ professional profiles, and signals from 100+ labor databases.</div><div><br></div><div>We are now building our Silicon Valley engineering team — a small, senior group focused on next-generation AI research and product.</div><div><br></div><div>Location: San Francisco, SoMa — minimum 4 days per week in-office.</div><div><br></div><div>What you'll do</div><div><br></div><div>• Build and maintain ML models for classification, extraction, trend detection, and predictive scoring on large structured and unstructured datasets.</div><div>• Design experiments and benchmarks to measure model accuracy, reduce bias, and validate outputs at scale.</div><div>• Apply NLP techniques — embeddings, NER, text classification — to real-world data pipelines.</div><div>• Partner with engineering to move models from experimentation to production; own monitoring and drift detection.</div><div>• Build evaluation frameworks for AI-generated outputs across multiple product use cases.</div><div><br></div><div>What we require</div><div><br></div><div>• BS/MS in Statistics, Computer Science, Applied Mathematics, or a quantitative field.</div><div>• 3–5 years of applied data science; minimum 2 years working with NLP or large-scale text data in production.</div><div>• Strong Python (pandas, scikit-learn, PyTorch or TensorFlow); proficient in SQL.</div><div>• Demonstrated track record of shipping models into production, not just producing analysis.</div><div>• Experience with embedding models and semantic similarity at enterprise scale.</div><div>• No visa sponsorship. Must be authorized to work in the US without current or future employer sponsorship.</div>","descriptionBodyPlain":"Draup is a Series A-funded agentic AI company building the intelligence layer for how global enterprises make workforce and go-to-market decisions. We work with 250+ enterprise clients — including 5 of the Fortune 10 — processing 1B+ job descriptions, 850M+ professional profiles, and signals from 100+ labor databases.\n\nWe are now building our Silicon Valley engineering team — a small, senior group focused on next-generation AI research and product.\n\nLocation: San Francisco, SoMa — minimum 4 days per week in-office.\n\nWhat you'll do\n\n• Build and maintain ML models for classification, extraction, trend detection, and predictive scoring on large structured and unstructured datasets.\n• Design experiments and benchmarks to measure model accuracy, reduce bias, and validate outputs at scale.\n• Apply NLP techniques — embeddings, NER, text classification — to real-world data pipelines.\n• Partner with engineering to move models from experimentation to production; own monitoring and drift detection.\n• Build evaluation frameworks for AI-generated outputs across multiple product use cases.\n\nWhat we require\n\n• BS/MS in Statistics, Computer Science, Applied Mathematics, or a quantitative field.\n• 3–5 years of applied data science; minimum 2 years working with NLP or large-scale text data in production.\n• Strong Python (pandas, scikit-learn, PyTorch or TensorFlow); proficient in SQL.\n• Demonstrated track record of shipping models into production, not just producing analysis.\n• Experience with embedding models and semantic similarity at enterprise scale.\n• No visa sponsorship. Must be authorized to work in the US without current or future employer sponsorship.\n","hostedUrl":"https://jobs.lever.co/hophr/8f90e46c-ef76-4617-ab5d-b2a429306e5b","applyUrl":"https://jobs.lever.co/hophr/8f90e46c-ef76-4617-ab5d-b2a429306e5b/apply"},{"additionalPlain":"Our client is committed to providing global securities markets with objective, timely, independent, and forward-looking credit opinions. To protect our client’s credibility and reputation, our employees must take every precaution to avoid conflicts of interest or any appearance of a conflict of interest. Should you be successful in the recruitment process at our client Ratings, you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work.\n\nOur client is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law. \n","additional":"<div><span style=\"font-size: 16px;\">Our client is committed to providing global securities markets with objective, timely, independent, and forward-looking credit opinions. To protect our client’s credibility and reputation, our employees must take every precaution to avoid conflicts of interest or any appearance of a conflict of interest.&nbsp;Should you be successful in the recruitment process at our client Ratings, you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work.</span></div><div><br></div><div><span style=\"font-size: 16px;\">Our client is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.&nbsp;</span></div>","categories":{"commitment":"Full- Time","department":"Engineering","location":"Monterrey","team":"Data Engineer","allLocations":["Monterrey"]},"createdAt":1771969423040,"descriptionPlain":"As a leading global financial information services provider, our client delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, our client’s culture of credibility, independence, and transparency is embedded throughout its structure, which includes our client Ratings, one of the world’s top three credit ratings agencies, and our client Solutions, a leading provider of insights, data, and analytics. With dual headquarters in London and New York, our client is owned by Hearst. \n\nAbout the Team\n\nJoin the Data Marketplace Tech team within the CSO organization—a highly visible group responsible for designing, building, and scaling solutions that free up data and empower business decisions across Fitch. The team collaborates closely with stakeholders across the organization to deliver next-generation data capabilities with a focus on faster time to market, data engineering, robust data controls, innovation, and leveraging AI/ML for data solutions.\n","description":"<div><span style=\"font-size: 16px;\">As a leading global financial information services provider, our client delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, our client’s culture of credibility, independence, and transparency is embedded throughout its structure, which includes our client Ratings, one of the world’s top three credit ratings agencies, and our client Solutions, a leading provider of insights, data, and analytics. With dual headquarters in London and New York, our client is owned by Hearst.&nbsp;</span></div><div><br></div><div><span style=\"font-size: 16px;\">About the Team</span></div><div><br></div><div><span style=\"font-size: 16px;\">Join the Data Marketplace Tech team within the CSO organization—a highly visible group responsible for designing, building, and scaling solutions that free up data and empower business decisions across Fitch. The team collaborates closely with stakeholders across the organization to deliver next-generation data capabilities with a focus on faster time to market, data engineering, robust data controls, innovation, and leveraging AI/ML for data solutions.</span></div>","id":"60494b8f-4aa8-4f6b-9184-997ffe54f419","lists":[{"text":"How You’ll Make an Impact","content":"<li>Architect, develop, test, and deploy robust data solutions and architecture diagrams to support evolving business needs.</li><li>Lead hands-on coding and testing for data engineering and data initiatives, ensuring quality and reliability in all deliverables.</li><li>Utilize tools such as Collibra (Data Governance) and Starburst (Data Mesh) to drive advanced data management and integration across the organization.</li><li>Perform complex SQL queries and data analyses to directly support critical business decisions.</li><li>Design, implement, and test APIs and data solutions using Python and related technologies.</li><li>Estimate project efforts, coordinate and prioritize multiple projects, and mentor contractors and junior team members.</li><li>Collaborate with cross-functional teams to align data solutions with broader business goals and present project status and technical insights to stakeholders and senior management.</li><li>Collaborate closely with AI/ML teams to align data engineering practices with leading-edge use cases such as LLM-powered applications, intelligent assistants, and enterprise semantic search within our environment, which includes GPT, Amazon Q, and Microsoft Copilot.</li>"},{"text":"You May be a Good Fit if","content":"<li>You have a Bachelor’s degree in Computer Science, Information Technology, or a related field.</li><li>You bring 8+ years of hands-on experience in the data space, with demonstrated expertise in financial services.</li><li>You possess extensive experience with Data Lake, Data Governance, Data Mesh, and Data Warehouses, and advanced proficiency in SQL for data analysis and testing.</li><li>You have demonstrated experience programming in Python and possess expertise in APIs.</li><li>You demonstrate proficiency in CI/CD pipelines, Agile methodologies, and project management tools such as Jira.</li><li>You are aware of data solutions supporting AI/ML workloads, including familiarity with MCP, knowledge graphs, and vector databases.</li>"},{"text":"What Would Make You Stand Out","content":"<li>Expertise with Collibra Data Governance and Starburst Data Mesh.</li><li>Experience with marketplace architecture supporting AI/ML workloads.</li><li>Hands-on experience with LLM/RAG, semantic search, and NLP applications.</li><li>Strong project management and multitasking abilities, with a proven track record of delivering high-quality, test-driven code.</li><li>Excellent communication and presentation skills, and the ability to mentor and upskill technical teams.</li><li>Demonstrated ability to work effectively in cross-functional, collaborative environments.</li>"},{"text":"Why Choose Our Client","content":"<li>Work-Life Balance First:&nbsp;40% in-office monthly stay connected while keeping flexibility.</li><li>A Culture of Learning &amp; Mobility:&nbsp;Dedicated training, leadership development, and mentorship programs designed to ensure that your time at our client will be a continuous learning opportunity.</li><li>Investing in Your Future:&nbsp;Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals.</li><li>Promoting Health &amp; Well-being:&nbsp;Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational well-being.</li><li>Supportive Parenting Policies:&nbsp;Family-friendly policies, including a generous global parental leave plan, are designed to help you balance career and family life effectively.</li><li>Inclusive Work Environment: A collaborative workplace&nbsp;where all voices are valued, with&nbsp;Employee Resource Groups that unite and empower our colleagues around the globe.</li><li>Dedication to Giving Back:&nbsp;Paid volunteer days, matched funding for donations, and ample opportunities to volunteer in your community.</li>"}],"text":"Associate Director, Engineering & Quality","country":"MX","workplaceType":"hybrid","opening":"","openingPlain":"","descriptionBody":"<div><span style=\"font-size: 16px;\">As a leading global financial information services provider, our client delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, our client’s culture of credibility, independence, and transparency is embedded throughout its structure, which includes our client Ratings, one of the world’s top three credit ratings agencies, and our client Solutions, a leading provider of insights, data, and analytics. With dual headquarters in London and New York, our client is owned by Hearst.&nbsp;</span></div><div><br></div><div><span style=\"font-size: 16px;\">About the Team</span></div><div><br></div><div><span style=\"font-size: 16px;\">Join the Data Marketplace Tech team within the CSO organization—a highly visible group responsible for designing, building, and scaling solutions that free up data and empower business decisions across Fitch. The team collaborates closely with stakeholders across the organization to deliver next-generation data capabilities with a focus on faster time to market, data engineering, robust data controls, innovation, and leveraging AI/ML for data solutions.</span></div>","descriptionBodyPlain":"As a leading global financial information services provider, our client delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, our client’s culture of credibility, independence, and transparency is embedded throughout its structure, which includes our client Ratings, one of the world’s top three credit ratings agencies, and our client Solutions, a leading provider of insights, data, and analytics. With dual headquarters in London and New York, our client is owned by Hearst. \n\nAbout the Team\n\nJoin the Data Marketplace Tech team within the CSO organization—a highly visible group responsible for designing, building, and scaling solutions that free up data and empower business decisions across Fitch. The team collaborates closely with stakeholders across the organization to deliver next-generation data capabilities with a focus on faster time to market, data engineering, robust data controls, innovation, and leveraging AI/ML for data solutions.\n","hostedUrl":"https://jobs.lever.co/hophr/60494b8f-4aa8-4f6b-9184-997ffe54f419","applyUrl":"https://jobs.lever.co/hophr/60494b8f-4aa8-4f6b-9184-997ffe54f419/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full- Time","department":"Data Science","location":"Brazil","team":"Analytics","allLocations":["Brazil","Argentina","Lima","Mexico City","Colombia"]},"createdAt":1772034031687,"descriptionPlain":"About the company\nUS-based marketing agency that scales consumer brands across Amazon and major marketplaces with full-service creative solutions and proprietary analytics technology. (100+ members)\n \nAbout the Role\nWe are seeking a skilled Data Scientist with a strong background in Python programming, SQL, exploratory data analysis, and a diverse set of analytical techniques. The ideal candidate will have experience not only in building predictive models but also in connecting to APIs (via Python), utilizing traditional statistics methods, and performing comprehensive exploratory data analysis. The role involves partnering with another data scientist on our team and also collaborating closely with cross-functional teams to surface insights for users of our platform.\n","description":"<div><strong style=\"font-size: 14px;\">About the company</strong></div>\n<div><span style=\"font-size: 14px;\">US-based marketing agency that scales consumer brands across Amazon and major marketplaces with full-service creative solutions and proprietary analytics technology. (100+ members)</span></div>\n<div>&nbsp;</div>\n<div><strong style=\"font-size: 14px;\">About the Role</strong></div>\n<div>We are seeking a skilled Data Scientist with a strong background in Python programming, SQL, exploratory data analysis, and a diverse set of analytical techniques. The ideal candidate will have experience not only in building predictive models but also in connecting to APIs (via Python), utilizing traditional statistics methods, and performing comprehensive exploratory data analysis. The role involves partnering with another data scientist on our team and also collaborating closely with cross-functional teams to surface insights for users of our platform.</div>","id":"057eabc1-4852-4d0e-8af0-329993d1cc10","lists":[{"text":"Key responsibilities:","content":"\n<li>Develop predictive models and algorithms using Python, utilizing machine learning and statistical techniques.</li>\n<li>Conduct exploratory data analysis to uncover patterns, trends, and relationships in the data.</li>\n<li>Connect to various APIs to collect relevant data and integrate external data sources into our analytics pipeline.</li>\n<li>Utilize SQL for data extraction, manipulation, and querying from relational databases.</li>\n<li>Collaborate with stakeholders to understand business requirements and translate them into analytical solutions.</li>\n<li>Communicate findings and insights effectively to both technical and non-technical audiences through visualizations, reports, and presentations.</li>\n<li>Stay updated with the latest advancements in data science, machine learning, and related fields, and apply them to improve our analytical capabilities.</li>\n"},{"text":"Requirements:","content":"\n<li>Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field.</li>\n<li>Proven experience in Python programming for data analysis and modeling.</li>\n<li>Proficiency in SQL for data manipulation and querying is a must.</li>\n<li>Strong understanding of exploratory data analysis techniques.</li>\n<li>Experience in connecting to APIs and working with external data sources.</li>\n<li>Familiarity with traditional statistical methods and their application in data analysis.</li>\n<li>Excellent communication and collaboration skills.</li>\n<li>Ability to work effectively in a fast-paced, dynamic environment with evolving priorities.</li>\n<li>Strong problem-solving skills and attention to detail.</li>\n"},{"text":"Additional Information:","content":"\n<li>This role is open to any candidate in Latin America.</li>\n<li>You will be hired as a contractor.</li>\n<li>You will observe the US holidays.</li>\n<li>Paid time off (PTO) is provided.</li>\n<li>You will receive a competitive salary in USD.</li>\n"}],"salaryRange":{"min":4000,"max":4500,"currency":"USD","interval":"per-month-salary"},"text":"Data Scientist","country":"BR","workplaceType":"remote","opening":"","openingPlain":"","descriptionBody":"<div><strong style=\"font-size: 14px;\">About the company</strong></div>\n<div><span style=\"font-size: 14px;\">US-based marketing agency that scales consumer brands across Amazon and major marketplaces with full-service creative solutions and proprietary analytics technology. (100+ members)</span></div>\n<div>&nbsp;</div>\n<div><strong style=\"font-size: 14px;\">About the Role</strong></div>\n<div>We are seeking a skilled Data Scientist with a strong background in Python programming, SQL, exploratory data analysis, and a diverse set of analytical techniques. The ideal candidate will have experience not only in building predictive models but also in connecting to APIs (via Python), utilizing traditional statistics methods, and performing comprehensive exploratory data analysis. The role involves partnering with another data scientist on our team and also collaborating closely with cross-functional teams to surface insights for users of our platform.</div>","descriptionBodyPlain":"About the company\nUS-based marketing agency that scales consumer brands across Amazon and major marketplaces with full-service creative solutions and proprietary analytics technology. (100+ members)\n \nAbout the Role\nWe are seeking a skilled Data Scientist with a strong background in Python programming, SQL, exploratory data analysis, and a diverse set of analytical techniques. The ideal candidate will have experience not only in building predictive models but also in connecting to APIs (via Python), utilizing traditional statistics methods, and performing comprehensive exploratory data analysis. The role involves partnering with another data scientist on our team and also collaborating closely with cross-functional teams to surface insights for users of our platform.\n","hostedUrl":"https://jobs.lever.co/hophr/057eabc1-4852-4d0e-8af0-329993d1cc10","applyUrl":"https://jobs.lever.co/hophr/057eabc1-4852-4d0e-8af0-329993d1cc10/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full- Time","department":"Engineering","location":"Monterrey","team":"Data Engineer","allLocations":["Monterrey"]},"createdAt":1769728518936,"descriptionPlain":"As a leading global financial information services provider, our client delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, our client’s culture of credibility, independence, and transparency is embedded throughout its structure, which includes our client Ratings, one of the world’s top three credit ratings agencies, and our client Solutions, a leading provider of insights, data, and analytics. With dual headquarters in London and New York, our client is owned by Hearst. \n\nOur client's Technology & Data Team is a dynamic department where innovation meets impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk, and the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive projects that matter to our organization and clients. We are also proud to be recognized by Built In as a “Best Place to Work in Technology” 3 years in a row. Whether you're an experienced professional or just starting your career, we offer an exciting and supportive environment where you can grow, innovate, and make a difference. \n","description":"<div><span style=\"font-size: 16px;\">As a leading global financial information services provider, our client delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, our client’s culture of credibility, independence, and transparency is embedded throughout its structure, which includes our client Ratings, one of the world’s top three credit ratings agencies, and our client Solutions, a leading provider of insights, data, and analytics. With dual headquarters in London and New York, our client is owned by Hearst.&nbsp;</span></div><div><br></div><div><span style=\"font-size: 16px;\">Our client's Technology &amp; Data Team is a dynamic department where innovation meets impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk, and the Executive Program Management Office (EPMO).&nbsp;Driven by our investment in cutting-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive projects that matter to our organization and clients. We are also proud to be recognized by Built In as a “Best Place to Work in Technology” 3 years in a row. Whether you're an experienced professional or just starting your career, we offer an exciting and supportive environment where you can grow, innovate, and make a difference.&nbsp;</span></div>","id":"06ca3a08-6d67-4a00-995b-d9b94018145f","lists":[{"text":"How You’ll Make an Impact:","content":"<li>Hands-On Lead and mentor a high-performing data engineering team, fostering technical excellence and professional growth while ensuring delivery of scalable, modern data solutions aligned with business priorities.</li><li>Partner with the CDO team and data product leaders to define and execute the vision for an AWS-based data platform that enables enterprise-wide self-service, unlocking data for AI, analytics, and innovation.</li><li>Drive architectural decisions and establish best practices for data ingestion, transformation, and distribution frameworks that accelerate time-to-insight for data producers and consumers.</li><li>Champion adoption of emerging technologies such as Agentic AI and Generative AI, integrating advanced capabilities into data workflows to enhance user experience and position the organization as “AI-Ready.” </li><li>Ensure operational excellence and reliability by proactively addressing complex data engineering challenges, implementing robust quality controls, and preventing production incidents.</li>"},{"text":"You May be a Good Fit if:","content":"<li>7-10 years’ experience, hands-on, leading highly technical data-centric software engineers, preferably in financial services, in support of Data Lake houses (e.g. AWS, Databricks, Snowflake), data virtualization solutions (e.g. Starburst), modern data catalogs &amp; data quality capabilities (e.g. Collibra), and Master Data Management (e.g. Informatica).</li><li>Proven AWS expertise (S3, EKS, Lambda, Glue, EMR, Redshift, S3, RDS/Aurora, Valkey/Redis, Step Functions, MSK/Kafka, Event Bridge).</li><li>AWS Certification strongly preferred.</li><li>Experience applying AI/ML to boost engineering productivity (e.g., GitHub Copilot, Amazon Q).</li><li>Strong Python for data engineering (Pandas, Spark/PySpark) and API Development (FastAPI or similar).</li><li>Design and build high-performance REST/GraphQL APIs with optimized query patterns, pagination, caching, and schema design to ensure low-latency, performant reads at scale.</li><li>Build ETL/ELT pipelines for batch and streaming; Kafka/MSK with schemas (Avro/JSON) and delivery semantics.</li><li>Optimize performance of object-based and relational datastores.</li><li>Design applications with microservices and a containerization mindset with ‘decoupling’ architectural principles.</li><li>Caching with Valkey/Redis: TTL strategies, invalidation, key design.</li><li>CI/CD and IaC with GitHub, Git/GitHub workflows, ArgoCD.</li><li>Security and reliability: IAM, KMS, secrets, VPC networking, observability (OpenTelemetry), SLOs, cost governance.</li><li>Ability to solve complex data-driven requirements and triage towards defects and production bugs.</li><li>Technology solutions and tools, including data governance and catalog solutions (e.g., Collibra, Alation, data platform and lake(house) (i.e., medallion’s architecture), and data mesh and virtualization tools (e.g., Starburst, Denodo).</li><li>Experience in leading the evaluation of new technologies and methodologies to enhance efficiency. (“Buy” vs “Build”).</li>"},{"text":"What Would Make You Stand Out:","content":"<li>Hands-on experience building AI agents (e.g., using LangGraph or LlamaIndex), implementing RAG over enterprise data, and enforcing robust guardrails through rigorous testing and evaluation, including Agentic AIconnection protocols (e.g., MCP, A2A).</li><li>Applying AI/ML to boost engineering productivity (e.g., GitHub Copilot, Amazon Q) and using agentic AI to automate workflows such as code reviews, test generation, data quality checks, and runbook execution.</li><li>Knowledge on SSO implementation and Azure AD (MS Entra) groups.</li><li>Great communication and collaboration skills.</li><li>Proven ability to drive innovation and install a culture of ‘continuous improvement’ that measurably improves business outcomes.</li><li>Ability to communicate effectively &amp; translate technical concepts to senior management &amp; non-technical stakeholders.</li>"},{"text":"Why Choose Our Client:","content":"<li><b>Work-Life Balance First:</b>&nbsp;40% in-office monthly stay connected while keeping flexibility.</li><li><b>A Culture of Learning &amp; Mobility:&nbsp;</b>Dedicated training, leadership development, and mentorship programs designed to ensure that your time at our client will be a continuous learning opportunity.</li><li><b>Investing in Your Future:</b>&nbsp;Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals.</li><li><b>Promoting Health &amp; Well-being:&nbsp;</b>Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational well-being.</li><li><b>Supportive Parenting Policies:&nbsp;</b>Family-friendly policies, including a generous global parental leave plan, are designed to help you balance career and family life effectively.</li><li><b>Inclusive Work Environment</b>: A collaborative workplace&nbsp;where all voices are valued, with&nbsp;Employee Resource Groups that unite and empower our colleagues around the globe.</li><li><b>Dedication to Giving Back:</b>&nbsp;Paid volunteer days, matched funding for donations, and ample opportunities to volunteer in your community.</li><div><br></div><div>Our client is committed to providing global securities markets with objective, timely, independent, and forward-looking credit opinions. To protect our client’s credibility and reputation, our employees must take every precaution to avoid conflicts of interest or any appearance of a conflict of interest.&nbsp;Should you be successful in the recruitment process at our client Ratings, you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work.</div><div><br></div><div>Our client is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluatequalified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.&nbsp;</div>"}],"text":"Engineering Manager, Director","country":"MX","workplaceType":"hybrid","opening":"","openingPlain":"","descriptionBody":"<div><span style=\"font-size: 16px;\">As a leading global financial information services provider, our client delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, our client’s culture of credibility, independence, and transparency is embedded throughout its structure, which includes our client Ratings, one of the world’s top three credit ratings agencies, and our client Solutions, a leading provider of insights, data, and analytics. With dual headquarters in London and New York, our client is owned by Hearst.&nbsp;</span></div><div><br></div><div><span style=\"font-size: 16px;\">Our client's Technology &amp; Data Team is a dynamic department where innovation meets impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk, and the Executive Program Management Office (EPMO).&nbsp;Driven by our investment in cutting-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive projects that matter to our organization and clients. We are also proud to be recognized by Built In as a “Best Place to Work in Technology” 3 years in a row. Whether you're an experienced professional or just starting your career, we offer an exciting and supportive environment where you can grow, innovate, and make a difference.&nbsp;</span></div>","descriptionBodyPlain":"As a leading global financial information services provider, our client delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, our client’s culture of credibility, independence, and transparency is embedded throughout its structure, which includes our client Ratings, one of the world’s top three credit ratings agencies, and our client Solutions, a leading provider of insights, data, and analytics. With dual headquarters in London and New York, our client is owned by Hearst. \n\nOur client's Technology & Data Team is a dynamic department where innovation meets impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk, and the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive projects that matter to our organization and clients. We are also proud to be recognized by Built In as a “Best Place to Work in Technology” 3 years in a row. Whether you're an experienced professional or just starting your career, we offer an exciting and supportive environment where you can grow, innovate, and make a difference. \n","hostedUrl":"https://jobs.lever.co/hophr/06ca3a08-6d67-4a00-995b-d9b94018145f","applyUrl":"https://jobs.lever.co/hophr/06ca3a08-6d67-4a00-995b-d9b94018145f/apply"},{"additionalPlain":"Education: \n\nBachelor’s degree in Computer Science, Information Technology, or a related field is required; an advanced degree is preferred.\n","additional":"<div><b>Education: </b></div><div><br></div><div><span style=\"font-size: 11pt;\">Bachelor’s degree in Computer Science, Information Technology, or a related field is required; an advanced degree is preferred.</span></div>","categories":{"commitment":"Full- Time","department":"Engineering","location":"Los Angeles","team":"Software Engineer","allLocations":["Los Angeles"]},"createdAt":1771367515373,"descriptionPlain":"We’re hiring a Head of Application Development for a private technology office in Los Angeles led by one of the most influential figures in modern tech. We are seeking a highly motivated, innovative, and collaborative Technology Manager to serve as the Head of Application Development. The selected candidate will be a key member of the Enterprise Technology management team, playing a pivotal role in establishing a Technology Center of Excellence to drive innovation, standardize best practices, and foster alignment and collaboration across teams. This individual will ensure the organization remains at the forefront of technological advancements and delivers scalable, high-quality solutions. \n\nThis is an exceptional opportunity for an experienced, hands-on technical manager to build a world-class development organization and leverage cutting-edge technologies. The role includes oversight responsibilities for development and application support resources, working closely with stakeholders across different entities to assess current and future technological needs. The ideal candidate will possess a strategic mindset, strong business acumen, and deep knowledge of emerging trends in AI/ML adoption across business applications. Exceptional communication and leadership skills are essential.\n","description":"<div>We’re hiring a Head of Application Development for a private technology office in Los Angeles led by one of the most influential figures in modern tech. <span style=\"font-size: 11pt;\">We are seeking a highly motivated, innovative, and collaborative Technology Manager to serve as the Head of Application Development. The selected candidate will be a key member of the Enterprise Technology management team, playing a pivotal role in establishing a Technology Center of Excellence to drive innovation, standardize best practices, and foster alignment and collaboration across teams. This individual will ensure the organization remains at the forefront of technological advancements and delivers scalable, high-quality solutions. </span></div><div><br></div><div><span style=\"font-size: 11pt;\">This is an exceptional opportunity for an experienced, hands-on technical manager to build a world-class development organization and leverage cutting-edge technologies. The role includes oversight responsibilities for development and application support resources, working closely with stakeholders across different entities to assess current and future technological needs. The ideal candidate will possess a strategic mindset, strong business acumen, and deep knowledge of emerging trends in AI/ML adoption across business applications. Exceptional communication and leadership skills are essential.</span></div>","id":"bcd8373e-351e-4547-b002-79a973c6415a","lists":[{"text":"Responsibilities/Duties:","content":"<li>Develop the technical architecture for the company’s business applications, ensuring alignment with strategic goals</li><li>Research and implement cutting-edge technologies to drive innovation and increase productivity</li><li>Collaborate with key stakeholders to ensure business needs align with technology direction.</li><li>Build and lead a world-class development team, utilizing continuous integration/continuous development (CI/CD) methodologies.</li><li>Implement a microservices architecture, integrate third-party applications, and establish best practices for development across the organization.</li>"},{"text":"Abilities:","content":"<li>Proven experience as a Head of Application Development or in a similar leadership role within a complex, technologically sophisticated environment</li><li>Excellent leadership, team building, and mentorship skills.</li><li>Strong organizational development capabilities and a results-oriented mindset.</li><li>Ability to think and act strategically while engaging in high-priority tactical activities as needed.</li><li>Hands-on expertise in modern technologies, including the full Java development stack, Spring Boot framework, Python, CI/CD pipelines, and REST APIs.</li><li>Experience leveraging AI tools like GitHub Copilot and Cursor to enhance productivity, reduce errors, and improve code quality.</li><li>Proficiency with cloud technologies, such as AWS, Azure, GCP; Docker containers and Kubernetes; cybersecurity awareness.&nbsp;Familiarity with platforms like Salesforce and NetSuite is a plus.</li>"}],"text":"Head of Application Development","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"<div>We’re hiring a Head of Application Development for a private technology office in Los Angeles led by one of the most influential figures in modern tech. <span style=\"font-size: 11pt;\">We are seeking a highly motivated, innovative, and collaborative Technology Manager to serve as the Head of Application Development. The selected candidate will be a key member of the Enterprise Technology management team, playing a pivotal role in establishing a Technology Center of Excellence to drive innovation, standardize best practices, and foster alignment and collaboration across teams. This individual will ensure the organization remains at the forefront of technological advancements and delivers scalable, high-quality solutions. </span></div><div><br></div><div><span style=\"font-size: 11pt;\">This is an exceptional opportunity for an experienced, hands-on technical manager to build a world-class development organization and leverage cutting-edge technologies. The role includes oversight responsibilities for development and application support resources, working closely with stakeholders across different entities to assess current and future technological needs. The ideal candidate will possess a strategic mindset, strong business acumen, and deep knowledge of emerging trends in AI/ML adoption across business applications. Exceptional communication and leadership skills are essential.</span></div>","descriptionBodyPlain":"We’re hiring a Head of Application Development for a private technology office in Los Angeles led by one of the most influential figures in modern tech. We are seeking a highly motivated, innovative, and collaborative Technology Manager to serve as the Head of Application Development. The selected candidate will be a key member of the Enterprise Technology management team, playing a pivotal role in establishing a Technology Center of Excellence to drive innovation, standardize best practices, and foster alignment and collaboration across teams. This individual will ensure the organization remains at the forefront of technological advancements and delivers scalable, high-quality solutions. \n\nThis is an exceptional opportunity for an experienced, hands-on technical manager to build a world-class development organization and leverage cutting-edge technologies. The role includes oversight responsibilities for development and application support resources, working closely with stakeholders across different entities to assess current and future technological needs. The ideal candidate will possess a strategic mindset, strong business acumen, and deep knowledge of emerging trends in AI/ML adoption across business applications. Exceptional communication and leadership skills are essential.\n","hostedUrl":"https://jobs.lever.co/hophr/bcd8373e-351e-4547-b002-79a973c6415a","applyUrl":"https://jobs.lever.co/hophr/bcd8373e-351e-4547-b002-79a973c6415a/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full- Time","department":"Engineering","location":"San Francisco, CA","team":"Artificial Intelligence","allLocations":["San Francisco, CA"]},"createdAt":1776882842371,"descriptionPlain":"Draup is a Series A-funded agentic AI company building the intelligence layer for how global enterprises make workforce and go-to-market decisions. We work with 250+ enterprise clients — including 5 of the Fortune 10 — processing 1B+ job descriptions, 850M+ professional profiles, and signals from 100+ labor databases.\n\nWe are now building our Silicon Valley engineering team — a small, senior group focused on next-generation AI research and product.\n\nLocation: San Francisco, SoMa — minimum 4 days per week in-office.\n\nWhat you'll do\n\n• Define and own the architectural vision for next-generation AI systems: novel agent architectures, reasoning systems, and proprietary model development.\n• Prototype and evaluate breakthrough AI capabilities — predictive modeling, autonomous signal synthesis, multi-modal intelligence — that create defensible IP.\n• Set the technical foundations: data architecture, model serving, agent orchestration, and inference infrastructure for a multi-year product horizon.\n• Evaluate and adopt emerging AI paradigms (multi-agent reasoning, RLHF, retrieval-augmented fine-tuning) before they are mainstream.\n• Establish engineering standards, architecture review processes, and IP documentation practices for the team.\n\nWhat we require\n\n• BS/MS/PhD in Computer Science, AI/ML, or related field. PhD or equivalent research depth preferred.\n• 5+ years in AI/ML engineering with at least 2 years in a principal engineer or lead architect role.\n• Demonstrated history of building original AI systems that became products — not implementations of existing patterns.\n• Deep expertise across: LLM training and fine-tuning, agentic system design, knowledge graph construction, large-scale data modeling.\n• Comfort operating in greenfield conditions: high ambiguity, high ownership.\n• Patents, published research, or shipped products with clear proprietary differentiation are strong signals.\n• No visa sponsorship. Must be authorized to work in the US without current or future employer sponsorship.\n","description":"<div>Draup is a Series A-funded agentic AI company building the intelligence layer for how global enterprises make workforce and go-to-market decisions. We work with 250+ enterprise clients — including 5 of the Fortune 10 — processing 1B+ job descriptions, 850M+ professional profiles, and signals from 100+ labor databases.</div><div><br></div><div>We are now building our Silicon Valley engineering team — a small, senior group focused on next-generation AI research and product.</div><div><br></div><div>Location: San Francisco, SoMa — minimum 4 days per week in-office.</div><div><br></div><div>What you'll do</div><div><br></div><div>• Define and own the architectural vision for next-generation AI systems: novel agent architectures, reasoning systems, and proprietary model development.</div><div>• Prototype and evaluate breakthrough AI capabilities — predictive modeling, autonomous signal synthesis, multi-modal intelligence — that create defensible IP.</div><div>• Set the technical foundations: data architecture, model serving, agent orchestration, and inference infrastructure for a multi-year product horizon.</div><div>• Evaluate and adopt emerging AI paradigms (multi-agent reasoning, RLHF, retrieval-augmented fine-tuning) before they are mainstream.</div><div>• Establish engineering standards, architecture review processes, and IP documentation practices for the team.</div><div><br></div><div>What we require</div><div><br></div><div>• BS/MS/PhD in Computer Science, AI/ML, or related field. PhD or equivalent research depth preferred.</div><div>• 5+ years in AI/ML engineering with at least 2 years in a principal engineer or lead architect role.</div><div>• Demonstrated history of building original AI systems that became products — not implementations of existing patterns.</div><div>• Deep expertise across: LLM training and fine-tuning, agentic system design, knowledge graph construction, large-scale data modeling.</div><div>• Comfort operating in greenfield conditions: high ambiguity, high ownership.</div><div>• Patents, published research, or shipped products with clear proprietary differentiation are strong signals.</div><div>• No visa sponsorship. Must be authorized to work in the US without current or future employer sponsorship.</div>","id":"5476dec9-a50c-4f12-a644-ceb67b036a73","lists":[],"text":"Principal AI Architect","country":"US","workplaceType":"hybrid","opening":"","openingPlain":"","descriptionBody":"<div>Draup is a Series A-funded agentic AI company building the intelligence layer for how global enterprises make workforce and go-to-market decisions. We work with 250+ enterprise clients — including 5 of the Fortune 10 — processing 1B+ job descriptions, 850M+ professional profiles, and signals from 100+ labor databases.</div><div><br></div><div>We are now building our Silicon Valley engineering team — a small, senior group focused on next-generation AI research and product.</div><div><br></div><div>Location: San Francisco, SoMa — minimum 4 days per week in-office.</div><div><br></div><div>What you'll do</div><div><br></div><div>• Define and own the architectural vision for next-generation AI systems: novel agent architectures, reasoning systems, and proprietary model development.</div><div>• Prototype and evaluate breakthrough AI capabilities — predictive modeling, autonomous signal synthesis, multi-modal intelligence — that create defensible IP.</div><div>• Set the technical foundations: data architecture, model serving, agent orchestration, and inference infrastructure for a multi-year product horizon.</div><div>• Evaluate and adopt emerging AI paradigms (multi-agent reasoning, RLHF, retrieval-augmented fine-tuning) before they are mainstream.</div><div>• Establish engineering standards, architecture review processes, and IP documentation practices for the team.</div><div><br></div><div>What we require</div><div><br></div><div>• BS/MS/PhD in Computer Science, AI/ML, or related field. PhD or equivalent research depth preferred.</div><div>• 5+ years in AI/ML engineering with at least 2 years in a principal engineer or lead architect role.</div><div>• Demonstrated history of building original AI systems that became products — not implementations of existing patterns.</div><div>• Deep expertise across: LLM training and fine-tuning, agentic system design, knowledge graph construction, large-scale data modeling.</div><div>• Comfort operating in greenfield conditions: high ambiguity, high ownership.</div><div>• Patents, published research, or shipped products with clear proprietary differentiation are strong signals.</div><div>• No visa sponsorship. Must be authorized to work in the US without current or future employer sponsorship.</div>","descriptionBodyPlain":"Draup is a Series A-funded agentic AI company building the intelligence layer for how global enterprises make workforce and go-to-market decisions. We work with 250+ enterprise clients — including 5 of the Fortune 10 — processing 1B+ job descriptions, 850M+ professional profiles, and signals from 100+ labor databases.\n\nWe are now building our Silicon Valley engineering team — a small, senior group focused on next-generation AI research and product.\n\nLocation: San Francisco, SoMa — minimum 4 days per week in-office.\n\nWhat you'll do\n\n• Define and own the architectural vision for next-generation AI systems: novel agent architectures, reasoning systems, and proprietary model development.\n• Prototype and evaluate breakthrough AI capabilities — predictive modeling, autonomous signal synthesis, multi-modal intelligence — that create defensible IP.\n• Set the technical foundations: data architecture, model serving, agent orchestration, and inference infrastructure for a multi-year product horizon.\n• Evaluate and adopt emerging AI paradigms (multi-agent reasoning, RLHF, retrieval-augmented fine-tuning) before they are mainstream.\n• Establish engineering standards, architecture review processes, and IP documentation practices for the team.\n\nWhat we require\n\n• BS/MS/PhD in Computer Science, AI/ML, or related field. PhD or equivalent research depth preferred.\n• 5+ years in AI/ML engineering with at least 2 years in a principal engineer or lead architect role.\n• Demonstrated history of building original AI systems that became products — not implementations of existing patterns.\n• Deep expertise across: LLM training and fine-tuning, agentic system design, knowledge graph construction, large-scale data modeling.\n• Comfort operating in greenfield conditions: high ambiguity, high ownership.\n• Patents, published research, or shipped products with clear proprietary differentiation are strong signals.\n• No visa sponsorship. Must be authorized to work in the US without current or future employer sponsorship.\n","hostedUrl":"https://jobs.lever.co/hophr/5476dec9-a50c-4f12-a644-ceb67b036a73","applyUrl":"https://jobs.lever.co/hophr/5476dec9-a50c-4f12-a644-ceb67b036a73/apply"},{"additionalPlain":"Cultural Fit\nExecution-oriented: You deliver results, not excuses\nCollaborative learner: You'll work closely with engineers and product people—ego can't get in the way\nComfortable with ambiguity: Moon Engine is pre-launch. Things will change. You adapt.\nNaturally curious: You want to understand how things work, not just use them\nLong-term thinker: You see this as a multi-year journey to become a recruiting + AI expert, not just a job\n \n🌙 Why This Opportunity Matters\nMost recruiters will eventually have to learn AI. You'll be years ahead.\n \nYou're not choosing between being a great recruiter or learning AI—you're mastering both while helping build the platform. Think of it like learning digital marketing in 2005. Early movers win.\n \n📈 What You Gain\nVery competitive and unique compensation structure (base + commission + bonus, with long-term upside as Moon Engine scales)\nDeep AI recruiting expertise in 6-12 months\nProduct influence—your feedback shapes what gets built\nClient enablement role as Moon Engine launches\nUnlimited PTO + thought leadership opportunities\n","additional":"<div><u><strong>Cultural Fit</strong></u></div>\n<div><strong>Execution-oriented:</strong> You deliver results, not excuses</div>\n<div><strong>Collaborative learner:</strong> You'll work closely with engineers and product people—ego can't get in the way</div>\n<div><strong>Comfortable with ambiguity:</strong> Moon Engine is pre-launch. Things will change. You adapt.</div>\n<div><strong>Naturally curious:</strong> You want to understand <em>how things work</em>, not just use them</div>\n<div><strong>Long-term thinker:</strong> You see this as a multi-year journey to become a recruiting + AI expert, not just a job</div>\n<div>&nbsp;</div>\n<div><strong><u>🌙 Why This Opportunity Matters</u></strong></div>\n<div><strong>Most recruiters will eventually have to learn AI. You'll be years ahead.</strong></div>\n<div>&nbsp;</div>\n<div>You're not choosing between being a great recruiter or learning AI—you're mastering both while helping build the platform. Think of it like learning digital marketing in 2005. Early movers win.</div>\n<div>&nbsp;</div>\n<div><u><strong>📈 What You Gain</strong></u></div>\n<div>Very competitive and unique compensation structure (base + commission + bonus, with long-term upside as Moon Engine scales)</div>\n<div>Deep AI recruiting expertise in 6-12 months</div>\n<div>Product influence—your feedback shapes what gets built</div>\n<div>Client enablement role as Moon Engine launches</div>\n<div>Unlimited PTO + thought leadership opportunities</div>","categories":{"commitment":"Full- Time","department":"Recruiting and Operation","location":"San Francisco, CA","team":"Recruitment","allLocations":["San Francisco, CA","Latin America"]},"createdAt":1769646532121,"descriptionPlain":"🚀 The Mission\n \nYou’ll start by doing what you do best: closing elite technical roles and building deep client relationships.\nBut this isn’t a traditional recruiting role. As you deliver hiring outcomes, you’ll also learn how to integrate AI into every part of the recruiting workflow—and help clients do the same as our platform launches.\n \nHop works with Fortune 500 companies and top VC-backed startups, specializing in GenAI, ML, Data Science, Data Engineering, Software Engineering, and Product talent.\n \nWe're pre-launch on Moon Engine, an agent-orchestrated recruiting ops system where autonomous agents act as decision partners, coordinating hiring with governance and auditability.\n \nAt Hop, you're a player-coach in the truest sense: hands-on recruiter today, AI-enabled recruiting advisor tomorrow. You'll work directly with our engineering and product teams to test Moon Engine, provide critical feedback, and master the future of recruiting—then bring that expertise to Fortune 500 companies and top startups as we onboard them to the platform.\n \nThink of it as dual-track growth: deepen your recruiting craft while becoming an expert in AI-orchestrated hiring workflows.\n \n🧬 What Makes This Different\n \nYou're not choosing between recruiting or AI. You're mastering both.\n \nHands-on recruiting excellence: You'll lead complex searches for senior technical talent—building relationships, managing clients, closing candidates. This is real, high-stakes recruiting work.\nLearn AI integration deeply: As you recruit, you'll progressively learn to leverage Moon Engine's capabilities—from AI-assisted sourcing to automated screening. You'll become fluent in how AI amplifies (not replaces) recruiter judgment.\nProduct development partner: Work directly with our engineering and product teams. Your real-world recruiting experiences become product requirements. Your feedback shapes what gets built.\nCustomer onboarding expert: As Moon Engine launches, you'll help enterprise clients transition to AI-enabled hiring. You'll teach them what you've learned—making you indispensable to both Hop and our clients.\n \n","description":"<div><strong>🚀 The Mission</strong></div>\n<div>&nbsp;</div>\n<div>You’ll start by doing what you do best: closing elite technical roles and building deep client relationships.</div>\n<div>But this isn’t a traditional recruiting role. As you deliver hiring outcomes, you’ll also learn how to integrate AI into every part of the recruiting workflow—and help clients do the same as our platform launches.</div>\n<div>&nbsp;</div>\n<div>Hop works with <strong>Fortune 500 companies and top VC-backed startups</strong>, specializing in GenAI, ML, Data Science, Data Engineering, Software Engineering, and Product talent.</div>\n<div>&nbsp;</div>\n<div>We're pre-launch on<strong> Moon Engine</strong>, an agent-orchestrated recruiting ops system where autonomous agents act as decision partners, coordinating hiring with governance and auditability.</div>\n<div>&nbsp;</div>\n<div>At <strong>Hop</strong>, you're a <strong>player-coach in the truest sense</strong>: hands-on recruiter today, AI-enabled recruiting advisor tomorrow. You'll work directly with our engineering and product teams to test Moon Engine, provide critical feedback, and master the future of recruiting—then bring that expertise to Fortune 500 companies and top startups as we onboard them to the platform.</div>\n<div>&nbsp;</div>\n<div>Think of it as <strong>dual-track growth</strong>: deepen your recruiting craft while becoming an expert in AI-orchestrated hiring workflows.</div>\n<div>&nbsp;</div>\n<div><strong>🧬 What Makes This Different</strong></div>\n<div>&nbsp;</div>\n<div><strong>You're not choosing between recruiting or AI. You're mastering both.</strong></div>\n<div>&nbsp;</div>\n<div><strong>Hands-on recruiting excellence:</strong> You'll lead complex searches for senior technical talent—building relationships, managing clients, closing candidates. This is real, high-stakes recruiting work.</div>\n<div><strong>Learn AI integration deeply:</strong> As you recruit, you'll progressively learn to leverage Moon Engine's capabilities—from AI-assisted sourcing to automated screening. You'll become fluent in how AI amplifies (not replaces) recruiter judgment.</div>\n<div><strong>Product development partner:</strong> Work directly with our engineering and product teams. Your real-world recruiting experiences become product requirements. Your feedback shapes what gets built.</div>\n<div><strong>Customer onboarding expert:</strong> As Moon Engine launches, you'll help enterprise clients transition to AI-enabled hiring. You'll teach them what you've learned—making you indispensable to both Hop and our clients.</div>\n<div>&nbsp;</div>","id":"98ec0ea0-8780-40ea-8e0d-050ef76cec44","lists":[{"text":"What You'll Actually Do","content":"\n<li><u>Phase 1: High-Level Recruiting Execution (Day 1 Onwards)</u></li>\n<li><strong>Lead full-cycle searches</strong> for senior technical roles: Staff+ Engineers, ML Scientists, Data Platform Leaders, Technical Product Managers</li>\n<li><strong>Build and maintain client relationships:</strong> Partner directly with CTOs, VPs of Engineering, founders—becoming their trusted hiring advisor</li>\n<li><strong>Manage candidate relationships:</strong> Source, engage, interview, close top-tier technical talent with white-glove service</li>\n<li><strong>Run strategic intake sessions:</strong> Translate business needs and technical requirements into precise hiring strategies</li>\n<li><strong>Deliver results:</strong> Own outcomes, timelines, and client satisfaction for complex, high-impact searches</li>\n\n<div>&nbsp;</div>\n\n<li><u>Phase 2: AI Integration &amp; Learning (Progressive Ramp)</u></li>\n<li><strong>Test Moon Engine in production:</strong> Use the platform daily on your real searches—provide honest feedback on what works and what doesn't</li>\n<li><strong>Learn AI-assisted workflows:</strong> Gradually adopt AI-powered sourcing, scoring, screening, and matching as features become available</li>\n<li><strong>Partner with engineering/product:</strong> Participate in feedback sessions, feature demos, and roadmap discussions. Your recruiting insights drive product decisions.</li>\n<li><strong>Document best practices:</strong> As you learn what AI does well (and where human judgment is critical), you'll help create the playbook for AI-enabled recruiting</li>\n<li><strong>Become the expert:</strong> Over 6-12 months, you'll develop deep expertise in how to orchestrate human + AI recruiting workflows</li>\n\n<div>&nbsp;</div>\n\n<li><u>Phase 3: Client Enablement &amp; Thought Leadership (As Moon Engine Launches)</u></li>\n<li><strong>Onboard enterprise clients:</strong> Guide new customers through adopting Moon Engine—teaching them what you've learned</li>\n<li><strong>Lead training sessions:</strong> Show clients how to integrate AI into their hiring processes effectively</li>\n<li><strong>Strategic consulting:</strong> Advise companies on restructuring their recruiting operations for an AI-first world</li>\n<li><strong>Represent Hop externally:</strong> Share insights at events, on podcasts, in content—establishing yourself as a recruiting + AI expert</li>\n"},{"text":"🎯 Who Thrives Here","content":"\n<li><u>Must-Haves</u></li>\n<li><strong>5+ years recruiting technical talent</strong> with a track record of closing senior/leadership roles (ML Engineers, Staff+ Engineers, Data Platform leads, etc.)</li>\n<li><strong>Exceptional client relationship skills:</strong> You can advise executives, push back when needed, and build long-term trusted partnerships</li>\n<li><strong>Candidate relationship mastery:</strong> You know how to attract, engage, and close passive candidates at the highest levels</li>\n<li><strong>Recruiting fundamentals are second nature:</strong> Sourcing, intake, interviewing, offer negotiation, stakeholder management—you've done it all at a high level</li>\n<li><strong>Genuinely curious about AI:</strong> You don't need to be technical, but you're excited to learn how AI can augment your recruiting work</li>\n<li><strong>Growth mindset:</strong> You're willing to learn new tools, experiment with new workflows, and occasionally feel uncomfortable as you master something new</li>\n\n<div>&nbsp;</div>\n\n<li><u><strong>Bonus Points</strong></u></li>\n<li>Prior experience with AI tools (ChatGPT, Claude, AI sourcing platforms) in your recruiting work</li>\n<li>Background at high-growth tech companies, recruiting agencies, or technical recruiting teams</li>\n<li>You've already experimented with automation, built recruiting processes, or created \"hacks\" to work more efficiently</li>\n<li>Comfortable giving product feedback or working closely with technical teams</li>\n"}],"text":"Principal Technical Recruiter","country":"US","workplaceType":"remote","opening":"","openingPlain":"","descriptionBody":"<div><strong>🚀 The Mission</strong></div>\n<div>&nbsp;</div>\n<div>You&rsquo;ll start by doing what you do best: closing elite technical roles and building deep client relationships.</div>\n<div>But this isn&rsquo;t a traditional recruiting role. As you deliver hiring outcomes, you&rsquo;ll also learn how to integrate AI into every part of the recruiting workflow&mdash;and help clients do the same as our platform launches.</div>\n<div>&nbsp;</div>\n<div>Hop works with <strong>Fortune 500 companies and top VC-backed startups</strong>, specializing in GenAI, ML, Data Science, Data Engineering, Software Engineering, and Product talent.</div>\n<div>&nbsp;</div>\n<div>We're pre-launch on<strong> Moon Engine</strong>, an agent-orchestrated recruiting ops system where autonomous agents act as decision partners, coordinating hiring with governance and auditability.</div>\n<div>&nbsp;</div>\n<div>At <strong>Hop</strong>, you're a <strong>player-coach in the truest sense</strong>: hands-on recruiter today, AI-enabled recruiting advisor tomorrow. You'll work directly with our engineering and product teams to test Moon Engine, provide critical feedback, and master the future of recruiting&mdash;then bring that expertise to Fortune 500 companies and top startups as we onboard them to the platform.</div>\n<div>&nbsp;</div>\n<div>Think of it as <strong>dual-track growth</strong>: deepen your recruiting craft while becoming an expert in AI-orchestrated hiring workflows.</div>\n<div>&nbsp;</div>\n<div><strong>🧬 What Makes This Different</strong></div>\n<div>&nbsp;</div>\n<div><strong>You're not choosing between recruiting or AI. You're mastering both.</strong></div>\n<div>&nbsp;</div>\n<div><strong>Hands-on recruiting excellence:</strong> You'll lead complex searches for senior technical talent&mdash;building relationships, managing clients, closing candidates. This is real, high-stakes recruiting work.</div>\n<div><strong>Learn AI integration deeply:</strong> As you recruit, you'll progressively learn to leverage Moon Engine's capabilities&mdash;from AI-assisted sourcing to automated screening. You'll become fluent in how AI amplifies (not replaces) recruiter judgment.</div>\n<div><strong>Product development partner:</strong> Work directly with our engineering and product teams. Your real-world recruiting experiences become product requirements. Your feedback shapes what gets built.</div>\n<div><strong>Customer onboarding expert:</strong> As Moon Engine launches, you'll help enterprise clients transition to AI-enabled hiring. You'll teach them what you've learned&mdash;making you indispensable to both Hop and our clients.</div>\n<div>&nbsp;</div>","descriptionBodyPlain":"🚀 The Mission\n \nYou’ll start by doing what you do best: closing elite technical roles and building deep client relationships.\nBut this isn’t a traditional recruiting role. As you deliver hiring outcomes, you’ll also learn how to integrate AI into every part of the recruiting workflow—and help clients do the same as our platform launches.\n \nHop works with Fortune 500 companies and top VC-backed startups, specializing in GenAI, ML, Data Science, Data Engineering, Software Engineering, and Product talent.\n \nWe're pre-launch on Moon Engine, an agent-orchestrated recruiting ops system where autonomous agents act as decision partners, coordinating hiring with governance and auditability.\n \nAt Hop, you're a player-coach in the truest sense: hands-on recruiter today, AI-enabled recruiting advisor tomorrow. You'll work directly with our engineering and product teams to test Moon Engine, provide critical feedback, and master the future of recruiting—then bring that expertise to Fortune 500 companies and top startups as we onboard them to the platform.\n \nThink of it as dual-track growth: deepen your recruiting craft while becoming an expert in AI-orchestrated hiring workflows.\n \n🧬 What Makes This Different\n \nYou're not choosing between recruiting or AI. You're mastering both.\n \nHands-on recruiting excellence: You'll lead complex searches for senior technical talent—building relationships, managing clients, closing candidates. This is real, high-stakes recruiting work.\nLearn AI integration deeply: As you recruit, you'll progressively learn to leverage Moon Engine's capabilities—from AI-assisted sourcing to automated screening. You'll become fluent in how AI amplifies (not replaces) recruiter judgment.\nProduct development partner: Work directly with our engineering and product teams. Your real-world recruiting experiences become product requirements. Your feedback shapes what gets built.\nCustomer onboarding expert: As Moon Engine launches, you'll help enterprise clients transition to AI-enabled hiring. You'll teach them what you've learned—making you indispensable to both Hop and our clients.\n \n","hostedUrl":"https://jobs.lever.co/hophr/98ec0ea0-8780-40ea-8e0d-050ef76cec44","applyUrl":"https://jobs.lever.co/hophr/98ec0ea0-8780-40ea-8e0d-050ef76cec44/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Contract to hire","department":"Product & Strategy","location":"New York City, NY","team":"Product Management","allLocations":["New York City, NY"]},"createdAt":1777594455088,"descriptionPlain":"Location: New York, NY (Hybrid) \\u007C Pay Range: $83,430 – $222,480\nPosition Summary\nOur client, a Fortune 500 healthcare company, is hiring a Product Manager focused on Market Research Products. You will be responsible for developing a solution that simulates market research for pharmaceutical and life science customers. The role requires strong product management skills and the ability to work cross-functionally with business, vendor, and client teams to ensure simulation solutions effectively meet market needs and align with the organization's strategic objectives.\nKey Responsibilities\n• Collaborate with business stakeholders to gather requirements and define the product vision for market research simulation solutions\n• Develop user stories, acceptance criteria, and product specifications\n• Work closely with engineering and data science teams to implement vendor solution enhancements aligned with user needs and business goals\n• Facilitate stakeholder discussions to prioritize features and manage trade-offs between business needs and technical feasibility\n• Conduct user research and usability testing to validate product concepts\n• Own creation and maintenance of product documentation, including business cases and project plans\n• Communicate product updates and insights to internal and external stakeholders\n• Champion Agile methodologies and best practices\nRequired Qualifications\n• 3+ years in Product Management with a focus on delivering scalable technology solutions\n• 2+ years of strong verbal and written communication, translating data and insights into clear narratives\n• 2+ years working cross-functionally with technical and non-technical teams to deliver product outcomes\n• 1+ year in the Pharmaceutical or Life Sciences industry\n• 1+ year in Agile environments using JIRA and Confluence\nPreferred Qualifications\n• Experience with market research simulation solutions or similar analytics products\n• Understanding of healthcare data and analytics in the pharmaceutical context\n• Familiarity with data visualization tools such as Tableau or Power BI\n","description":"<div>Location: New York, NY (Hybrid) \\u007C Pay Range: $83,430 – $222,480</div>\n<div>Position Summary</div>\n<div>Our client, a Fortune 500 healthcare company, is hiring a Product Manager focused on Market Research Products. You will be responsible for developing a solution that simulates market research for pharmaceutical and life science customers. The role requires strong product management skills and the ability to work cross-functionally with business, vendor, and client teams to ensure simulation solutions effectively meet market needs and align with the organization's strategic objectives.</div>\n<div>Key Responsibilities</div>\n<div>• Collaborate with business stakeholders to gather requirements and define the product vision for market research simulation solutions</div>\n<div>• Develop user stories, acceptance criteria, and product specifications</div>\n<div>• Work closely with engineering and data science teams to implement vendor solution enhancements aligned with user needs and business goals</div>\n<div>• Facilitate stakeholder discussions to prioritize features and manage trade-offs between business needs and technical feasibility</div>\n<div>• Conduct user research and usability testing to validate product concepts</div>\n<div>• Own creation and maintenance of product documentation, including business cases and project plans</div>\n<div>• Communicate product updates and insights to internal and external stakeholders</div>\n<div>• Champion Agile methodologies and best practices</div>\n<div>Required Qualifications</div>\n<div>• 3+ years in Product Management with a focus on delivering scalable technology solutions</div>\n<div>• 2+ years of strong verbal and written communication, translating data and insights into clear narratives</div>\n<div>• 2+ years working cross-functionally with technical and non-technical teams to deliver product outcomes</div>\n<div>• 1+ year in the Pharmaceutical or Life Sciences industry</div>\n<div>• 1+ year in Agile environments using JIRA and Confluence</div>\n<div>Preferred Qualifications</div>\n<div>• Experience with market research simulation solutions or similar analytics products</div>\n<div>• Understanding of healthcare data and analytics in the pharmaceutical context</div>\n<div>• Familiarity with data visualization tools such as Tableau or Power BI</div>","id":"c633b296-0f99-46c3-85fb-4ca02d2983a2","lists":[],"text":"Product Manager, Pharma Market Research Products","country":"US","workplaceType":"hybrid","opening":"","openingPlain":"","descriptionBody":"<div>Location: New York, NY (Hybrid) \\u007C Pay Range: $83,430 &ndash; $222,480</div>\n<div>Position Summary</div>\n<div>Our client, a Fortune 500 healthcare company, is hiring a Product Manager focused on Market Research Products. You will be responsible for developing a solution that simulates market research for pharmaceutical and life science customers. The role requires strong product management skills and the ability to work cross-functionally with business, vendor, and client teams to ensure simulation solutions effectively meet market needs and align with the organization's strategic objectives.</div>\n<div>Key Responsibilities</div>\n<div>&bull; Collaborate with business stakeholders to gather requirements and define the product vision for market research simulation solutions</div>\n<div>&bull; Develop user stories, acceptance criteria, and product specifications</div>\n<div>&bull; Work closely with engineering and data science teams to implement vendor solution enhancements aligned with user needs and business goals</div>\n<div>&bull; Facilitate stakeholder discussions to prioritize features and manage trade-offs between business needs and technical feasibility</div>\n<div>&bull; Conduct user research and usability testing to validate product concepts</div>\n<div>&bull; Own creation and maintenance of product documentation, including business cases and project plans</div>\n<div>&bull; Communicate product updates and insights to internal and external stakeholders</div>\n<div>&bull; Champion Agile methodologies and best practices</div>\n<div>Required Qualifications</div>\n<div>&bull; 3+ years in Product Management with a focus on delivering scalable technology solutions</div>\n<div>&bull; 2+ years of strong verbal and written communication, translating data and insights into clear narratives</div>\n<div>&bull; 2+ years working cross-functionally with technical and non-technical teams to deliver product outcomes</div>\n<div>&bull; 1+ year in the Pharmaceutical or Life Sciences industry</div>\n<div>&bull; 1+ year in Agile environments using JIRA and Confluence</div>\n<div>Preferred Qualifications</div>\n<div>&bull; Experience with market research simulation solutions or similar analytics products</div>\n<div>&bull; Understanding of healthcare data and analytics in the pharmaceutical context</div>\n<div>&bull; Familiarity with data visualization tools such as Tableau or Power BI</div>","descriptionBodyPlain":"Location: New York, NY (Hybrid) \\u007C Pay Range: $83,430 – $222,480\nPosition Summary\nOur client, a Fortune 500 healthcare company, is hiring a Product Manager focused on Market Research Products. You will be responsible for developing a solution that simulates market research for pharmaceutical and life science customers. The role requires strong product management skills and the ability to work cross-functionally with business, vendor, and client teams to ensure simulation solutions effectively meet market needs and align with the organization's strategic objectives.\nKey Responsibilities\n• Collaborate with business stakeholders to gather requirements and define the product vision for market research simulation solutions\n• Develop user stories, acceptance criteria, and product specifications\n• Work closely with engineering and data science teams to implement vendor solution enhancements aligned with user needs and business goals\n• Facilitate stakeholder discussions to prioritize features and manage trade-offs between business needs and technical feasibility\n• Conduct user research and usability testing to validate product concepts\n• Own creation and maintenance of product documentation, including business cases and project plans\n• Communicate product updates and insights to internal and external stakeholders\n• Champion Agile methodologies and best practices\nRequired Qualifications\n• 3+ years in Product Management with a focus on delivering scalable technology solutions\n• 2+ years of strong verbal and written communication, translating data and insights into clear narratives\n• 2+ years working cross-functionally with technical and non-technical teams to deliver product outcomes\n• 1+ year in the Pharmaceutical or Life Sciences industry\n• 1+ year in Agile environments using JIRA and Confluence\nPreferred Qualifications\n• Experience with market research simulation solutions or similar analytics products\n• Understanding of healthcare data and analytics in the pharmaceutical context\n• Familiarity with data visualization tools such as Tableau or Power BI\n","hostedUrl":"https://jobs.lever.co/hophr/c633b296-0f99-46c3-85fb-4ca02d2983a2","applyUrl":"https://jobs.lever.co/hophr/c633b296-0f99-46c3-85fb-4ca02d2983a2/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full- Time","department":"Product & Strategy","location":"Los Angeles","team":"Product Management","allLocations":["Los Angeles"]},"createdAt":1776462384638,"descriptionPlain":"Our client is a Tech/Family Office company serving the investments, foundations, and activities of a prominent family. With a broad mandate, the organization oversees diverse assets and programs, including multiple foundations and institutes. Across its entities, it manages hundreds of employees and oversees significant annual expenditures, ranging from grants and gifts to private investments and operational costs.\n \nThey are seeking a Product Owner to drive the strategy, prioritization, and delivery of complex enterprise systems spanning investment management, grants administration, financial, and legal operations. This is a high-ownership role in a fast-moving environment where requirements are frequently ambiguous, stakeholder needs evolve quickly, and the ability to drive clarity is just as important as the ability to ship. You will own the product backlog, align cross-functional teams, and ensure that engineering effort consistently delivers measurable business value. The ideal candidate is a decisive, systems-oriented operator who thrives without a detailed playbook and knows how to cut through complexity to keep teams moving.\n","description":"<div>Our client is a Tech/Family Office company serving the investments, foundations, and activities of a prominent family. With a broad mandate, the organization oversees diverse assets and programs, including multiple foundations and institutes. Across its entities, it manages hundreds of employees and oversees significant annual expenditures, ranging from grants and gifts to private investments and operational costs.</div>\n<div>&nbsp;</div>\n<div>They are seeking a Product Owner to drive the strategy, prioritization, and delivery of complex enterprise systems spanning investment management, grants administration, financial, and legal operations. This is a high-ownership role in a fast-moving environment where requirements are frequently ambiguous,&nbsp;stakeholder needs evolve quickly, and the ability to drive clarity is just as important as the ability to ship. You will own the product backlog, align cross-functional teams, and ensure that engineering effort consistently delivers measurable business value. The ideal candidate is a decisive, systems-oriented operator who thrives without a detailed playbook and knows how to cut through complexity to keep teams moving.</div>","id":"3e5a2c48-47a3-468e-88e8-a5f7b13a0004","lists":[{"text":"Responsibilities:","content":"\n<li><strong>Own the Product Backlog:</strong> Define, prioritize, and maintain a well-groomed backlog of features, enhancements, and technical work across enterprise systems. Make clear prioritization calls and communicate the rationale to stakeholders and engineering teams.</li>\n<li><strong>Drive Clarity from Ambiguity:</strong> Operate confidently in environments where requirements are&nbsp;incomplete or shifting. Facilitate discovery sessions, ask incisive questions, and convert loosely&nbsp;defined business needs into precise user stories, acceptance criteria, and actionable specs —&nbsp;without waiting for perfect information.</li>\n<li><strong>Enterprise Systems Ownership:</strong> Serve as the primary product owner for large-scale internal&nbsp;platforms handling complex, high-volume data across operational teams, grants programs,&nbsp;financial operations, and multi-entity reporting. Understand data flows, system dependencies,&nbsp;and integration points well enough to make smart tradeoffs.</li>\n<li><strong>Stakeholder Alignment:</strong> Partner with the grants, finance, and operations teams to translate&nbsp;strategic priorities into a coherent product roadmap. Manage competing demands, surface&nbsp;tradeoffs clearly, and build consensus without losing velocity.</li>\n<li><strong>Agile Delivery Leadership:</strong> Lead planning, refinement, demos, and retrospectives. Unblock&nbsp;teams quickly, make scope decisions in real time, and hold a high bar for what gets shipped.</li>\n<li><strong>AI &amp; Automation Integration:</strong> Identify and scope opportunities to embed AI-driven workflows,&nbsp;natural language interfaces, and intelligent automation into enterprise systems — improving&nbsp;data quality, reporting efficiency, and decision support for end users.</li>\n<li><strong>Data &amp; Analytics Requirements:</strong> Define requirements for dashboards, reporting interfaces,&nbsp;and analytics features that surface actionable insight from large, complex datasets. Collaborate&nbsp;with data engineers and BI teams to ensure outputs are accurate, performant, and user-relevant.</li>\n<li><strong>Vendor &amp; Integration Management:</strong> Own product-level relationships with key vendors and&nbsp;data providers. Define integration requirements, evaluate build vs. buy decisions, and ensure&nbsp;third-party systems meet long-term scalability needs.</li>\n<li><strong>Cross-Functional Collaboration:</strong> Work fluidly across engineering, UX/design, data, finance,&nbsp;and operations. Translate between technical and non-technical stakeholders and be the&nbsp;connective tissue that keeps everyone aligned on what's being built and why.</li>\n<li><strong>Travel:</strong> Willingness to travel occasionally as needed to meet with stakeholders, attend planning&nbsp;sessions, or support key project milestones.</li>\n"},{"text":"Qualifications & Requirements:","content":"\n<li>5+ years of experience as a Product Owner or Product Manager for complex enterprise systems&nbsp;— grants management, investment management, financial operations, ERP, or data-intensive&nbsp;platforms strongly preferred.</li>\n<li>Demonstrated ability to thrive in fast-paced, ambiguous environments — comfortable owning&nbsp;decisions with incomplete information and course-correcting quickly as context evolves.</li>\n<li>Proven track record of driving clarity: converting vague stakeholder needs into well-defined,&nbsp;actionable product requirements that engineering teams can execute confidently.</li>\n<li>High agency and self-starter mentality — you identify gaps, create structure where none exists,&nbsp;and move work forward without needing to be directed.</li>\n<li>Strong command of agile methodologies; experience owning and grooming a complex multi-team backlog in Jira or equivalent.</li>\n<li>Solid understanding of data architecture, system integrations, and APIs — enough to participate meaningfully in technical discussions and make informed scoping decisions.</li>\n<li>Experience defining requirements for data-heavy applications: dashboards, reporting tools,&nbsp;analytics views, and multi-entity data models.</li>\n<li>Familiarity with AI/ML capabilities and practical experience scoping AI-assisted features for&nbsp;enterprise users.</li>\n<li>Active user of AI productivity tools with genuine curiosity about how they can accelerate product development and improve user outcomes.</li>\n<li>Exceptional communication and facilitation skills — equally effective in an executive briefing, a&nbsp;stakeholder workshop, and a sprint review.</li>\n<li>Familiarity with Figma sufficient to review and give feedback on UX designs, wireframes, and&nbsp;prototypes.</li>\n<li>Bachelor's degree in Computer Science, Information Systems, Business, or related field;&nbsp;advanced degree a plus.</li>\n"},{"text":"Ideal Candidate Profile:","content":"\n<li>Decisive under ambiguity — gathers just enough context to make a good call, makes it, and&nbsp;moves.</li>\n<li>Brings structure to chaos without slowing teams down — backlogs are clear, tickets&nbsp;are precise, acceptance criteria leave no room for interpretation.</li>\n<li>High-agency by default: doesn't wait for a brief, writes it; doesn't wait for a meeting, schedules it.</li>\n<li>Genuinely excited about AI and actively uses it to work faster, prototype ideas, and push the&nbsp;boundaries of enterprise software.</li>\n<li>Holds the details — knows the difference between a well-scoped story and a vague one, and&nbsp;won't let the latter into a sprint.</li>\n<li>Flexible and energized by a fast-moving environment — adapts quickly, reprioritizes without&nbsp;friction, keeps momentum when the ground shifts.</li>\n<li>Earns trust across disciplines: engineers respect their specs, designers value their feedback,&nbsp;executives trust their judgment.</li>\n"},{"text":"Additional Details: ","content":"\n<li style=\"list-style-type: revert;\">Only open to U.S. Citizens or Green Card holders.</li>\n<li>The role is in-office (LA) - West Hollywood.</li>\n<li>Compensation includes a strong base + bonus (no equity, as they’re private).</li>\n"}],"text":"Product Owner – Enterprise Systems","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"<div>Our client is a Tech/Family Office company serving the investments, foundations, and activities of a prominent family. With a broad mandate, the organization oversees diverse assets and programs, including multiple foundations and institutes. Across its entities, it manages hundreds of employees and oversees significant annual expenditures, ranging from grants and gifts to private investments and operational costs.</div>\n<div>&nbsp;</div>\n<div>They are seeking a Product Owner to drive the strategy, prioritization, and delivery of complex enterprise systems spanning investment management, grants administration, financial, and legal operations. This is a high-ownership role in a fast-moving environment where requirements are frequently ambiguous,&nbsp;stakeholder needs evolve quickly, and the ability to drive clarity is just as important as the ability to ship. You will own the product backlog, align cross-functional teams, and ensure that engineering effort consistently delivers measurable business value. The ideal candidate is a decisive, systems-oriented operator who thrives without a detailed playbook and knows how to cut through complexity to keep teams moving.</div>","descriptionBodyPlain":"Our client is a Tech/Family Office company serving the investments, foundations, and activities of a prominent family. With a broad mandate, the organization oversees diverse assets and programs, including multiple foundations and institutes. Across its entities, it manages hundreds of employees and oversees significant annual expenditures, ranging from grants and gifts to private investments and operational costs.\n \nThey are seeking a Product Owner to drive the strategy, prioritization, and delivery of complex enterprise systems spanning investment management, grants administration, financial, and legal operations. This is a high-ownership role in a fast-moving environment where requirements are frequently ambiguous, stakeholder needs evolve quickly, and the ability to drive clarity is just as important as the ability to ship. You will own the product backlog, align cross-functional teams, and ensure that engineering effort consistently delivers measurable business value. The ideal candidate is a decisive, systems-oriented operator who thrives without a detailed playbook and knows how to cut through complexity to keep teams moving.\n","hostedUrl":"https://jobs.lever.co/hophr/3e5a2c48-47a3-468e-88e8-a5f7b13a0004","applyUrl":"https://jobs.lever.co/hophr/3e5a2c48-47a3-468e-88e8-a5f7b13a0004/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full- Time","department":"Engineering","location":"Los Angeles","team":"Artificial Intelligence","allLocations":["Los Angeles"]},"createdAt":1774555811485,"descriptionPlain":"Our client is a family office management company serving investments, foundations, and activities of a prominent family. With a broad mandate, their organization oversees diverse assets and programs, including multiple foundations and institutes. Across their entities, they manage hundreds of employees and oversee significant annual expenditures, ranging from grants and gifts to private investments and operational costs.\nThey are seeking a highly motivated, innovative, and collaborative Technology staff member to serve as the Senior AI Engineer. The selected candidate will be a member of the Enterprise Technology Data Engineering & AI team, playing a pivotal role in driving innovation across the organization.\nSummary\nYou will architect and develop production-grade LLM agents and RAG pipelines, steer the full ML lifecycle from data prep to GPU-scaled deployment, and weave together modern tools and technologies into a secure, cost-aware platform. If you thrive on turning ambiguous ideas into high-impact GenAI products and mentoring others to do the same, this is your playground.\n","description":"<p>Our client is a family office management company serving investments, foundations, and activities of a prominent family. With a broad mandate, their organization oversees diverse assets and programs, including multiple foundations and institutes. Across their entities, they manage hundreds of employees and oversee significant annual expenditures, ranging from grants and gifts to private investments and operational costs.</p>\n<p>They are seeking a highly motivated, innovative, and collaborative Technology staff member to serve as the Senior AI Engineer. The selected candidate will be a member of the Enterprise Technology Data Engineering &amp; AI team, playing a pivotal role in driving innovation across the organization.</p>\n<p><strong>Summary</strong></p>\n<div>You will architect and develop production-grade LLM agents and RAG pipelines, steer the full ML lifecycle from data prep to GPU-scaled deployment, and weave together modern tools and technologies into a secure, cost-aware platform. If you thrive on turning ambiguous ideas into high-impact GenAI products and mentoring others to do the same, this is your playground.</div>","id":"f28c3a1a-748e-43e2-a17e-288ffe53ff65","lists":[{"text":"Responsibilities:","content":"\n<li><strong>Build &amp; Ship Gen AI Apps:</strong> Design, prototype, and build GenAI solutions, RAG document pipelines, and task-specific agents to support multiple business functions using tools such as LangChain/LlamaIndex, micro-services, Ray/KubeRay.</li>\n<li><strong>Agent Workflow Pipelines:</strong> Design and orchestrate multi-step agent pipelines, integrating LLM prompts, external APIs, and human-in-the-loop escalations.</li>\n<li><strong>End-to-End ML Lifecycle:</strong> Own requirements → data prep → feature engineering → classical ML or LLM fine-tuning (LoRA, PEFT, RLHF) → offline/online evaluation → MLflow registry, with automated drift and quality alerts.</li>\n<li><strong>Data &amp; Storage Architecture:</strong> Ingest from BigQuery, object-store lakes (Parquet, Avro); generate embeddings and persist to vector DBs (Qdrant/PgVector); enforce governance via OpenMetadata and column-level ACLs.</li>\n<li><strong>Scalable Deployment &amp; Ops:</strong> Package with Docker, helm-deploy on Kubernetes; implement GPU scheduling, autoscaling, blue-green rollouts, and cost telemetry via Prometheus/Grafana; automate CI/CD in GitHub Actions.</li>\n<li><strong>Observability &amp; Compliance:</strong> Instrument tracking, metrics, and structured logs; run A/B or shadow tests; embed security, privacy, and cost-guardrails in every pipeline.</li>\n<li><strong>Lead &amp; Mentor:</strong> Translate ambiguous business ideas into executable roadmaps, run build-vs-buy analysis, set code standards, and coach peers on agentic patterns and ethical AI.</li>\n"},{"text":"Requirements:","content":"\n<li>Bachelor’s or Master’s in Computer Science, Data Science, or equivalent experience.</li>\n<li>7+ years designing and shipping ML/AI applications, including 2+ years with LLMs or Generative AI.</li>\n<li>Demonstrated delivery of RAG or agentic systems in production (e.g. LangChain, LlamaIndex, n8n, or custom).</li>\n<li>Expert-level Python and SQL; strong Spark, distributed data-processing, and performance-tuning skills.</li>\n<li>Hands-on fine-tuning of foundation models; comfort with MLflow, Ray/KubeRay, and vector databases.</li>\n<li>Deep familiarity with cloud warehouses (BigQuery, Redshift), lake formats (Parquet, Avro), and streaming/ingestion tools (e.g. Airbyte, Kafka/Pub-Sub).</li>\n<li>Production experience with Docker, Kubernetes, Helm, and Git-based CI/CD pipelines.</li>\n<li>Clear communicator able to gather requirements, set technical direction, and influence cross-functional teams.</li>\n"},{"text":"Additional Details:","content":"\n<li style=\"list-style-type: revert;\">Only open to U.S. Citizens or Green Card holders.</li>\n<li>The role is in-office (LA) - West Hollywood.</li>\n<li>Compensation includes a strong base + bonus (no equity, as they’re private).</li>\n"}],"text":"Senior AI Engineer","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"<p>Our client is a family office management company serving investments, foundations, and activities of a prominent family. With a broad mandate, their organization oversees diverse assets and programs, including multiple foundations and institutes. Across their entities, they manage hundreds of employees and oversee significant annual expenditures, ranging from grants and gifts to private investments and operational costs.</p>\n<p>They are seeking a highly motivated, innovative, and collaborative Technology staff member to serve as the Senior AI Engineer. The selected candidate will be a member of the Enterprise Technology Data Engineering &amp; AI team, playing a pivotal role in driving innovation across the organization.</p>\n<p><strong>Summary</strong></p>\n<div>You will architect and develop production-grade LLM agents and RAG pipelines, steer the full ML lifecycle from data prep to GPU-scaled deployment, and weave together modern tools and technologies into a secure, cost-aware platform. If you thrive on turning ambiguous ideas into high-impact GenAI products and mentoring others to do the same, this is your playground.</div>","descriptionBodyPlain":"Our client is a family office management company serving investments, foundations, and activities of a prominent family. With a broad mandate, their organization oversees diverse assets and programs, including multiple foundations and institutes. Across their entities, they manage hundreds of employees and oversee significant annual expenditures, ranging from grants and gifts to private investments and operational costs.\nThey are seeking a highly motivated, innovative, and collaborative Technology staff member to serve as the Senior AI Engineer. The selected candidate will be a member of the Enterprise Technology Data Engineering & AI team, playing a pivotal role in driving innovation across the organization.\nSummary\nYou will architect and develop production-grade LLM agents and RAG pipelines, steer the full ML lifecycle from data prep to GPU-scaled deployment, and weave together modern tools and technologies into a secure, cost-aware platform. If you thrive on turning ambiguous ideas into high-impact GenAI products and mentoring others to do the same, this is your playground.\n","hostedUrl":"https://jobs.lever.co/hophr/f28c3a1a-748e-43e2-a17e-288ffe53ff65","applyUrl":"https://jobs.lever.co/hophr/f28c3a1a-748e-43e2-a17e-288ffe53ff65/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Contractor","department":"Data Science","location":"Remote","team":"Analytics","allLocations":["Remote"]},"createdAt":1777328878771,"descriptionPlain":"Client: CVS Health — Analytics & Behavior Change (A&BC) \\u007C New York, NY / Hybrid\nEngagement type: Contract-to-hire. Initial contractor engagement with planned conversion to full-time employment pending performance and mutual fit.\nCVS Health's Analytics & Behavior Change (A&BC) organization leverages advanced analytics, machine learning, and a hypothesis-driven approach to transform data into actionable, customer-centric insights across all CVS Health businesses — serving 100+ million customers.\nAs Senior Manager of Data Partnerships & Monetization, you will own the strategy and execution of CVS Health's external data licensing portfolio while serving as the internal authority on strategic third-party data assets. This is a high-visibility, cross-functional role requiring someone equally credible with external healthcare analytics and technology partners, internal engineering teams, and senior business stakeholders — and who can operate with a high degree of autonomy.\nExternal Data Partnerships, Licensing & Commercialization (~60%)\nCVS Health licenses data products to a growing portfolio of external partners — spanning healthcare analytics and technology organizations, with emerging interest from broader industries. You will lead the sourcing, development, and management of these partnerships, ensuring our data products are commercially compelling, reliably delivered, and positioned for long-term growth.\nPartnership Development & Deal Execution\n• Identify, source, and develop new data partnership and commercialization opportunities across healthcare, life sciences, technology, and adjacent industries\n• Build and manage a pipeline of strategic partnerships, engaging prospective partners and advancing opportunities from initial discussions through deal execution\n• Represent CVS Health in external forums, conferences, and partner meetings to expand market presence and originate new opportunities\n• Partner with the VP of Data Products and Monetization to shape and advance new partnership opportunities, including developing commercial materials, defining partnership structures, and supporting external discussions\n• Develop and standardize repeatable partnership models, including how partnerships are structured, governed, and operated, to enable scalable growth\nPartner Ownership and Execution\n• Own the end-to-end operational health of active data licensing partnerships including tracking deliverables, schema changes, feed updates, and SLA compliance\n• Maintain clear, up-to-date documentation of data product specifications, schema changes, and release notes, ensuring partners have accurate technical reference material\n• Coordinate with Data Engineering teams and partner teams to scope and deliver product enhancements (e.g., frequency upgrades, schema expansions), translating technical requirements into partner-ready solutions\n• Track and report on revenue across internal scorecards and business reviews\n• Plan and lead quarterly business reviews with partners, including usage analytics, product updates, and forward-looking roadmaps\nStrategic Data Sourcing & Product Enablement (~40%)\nA&BC maintains strategic data partnerships with a leading healthcare analytics provider, whose data powers solutions across CVS Health. You will serve as the internal owner and subject matter expert for these data products: driving adoption, enabling new use cases, and ensuring the data delivers maximum value across the enterprise.\n• Serve as the primary point of contact for internal analytics and product teams seeking to leverage external data assets, advising on applicability, limitations, and best use cases\n• Maintain accessible documentation, FAQs, and guidelines to enable self-service adoption across teams\n• Partner with Data Engineering and Analytics teams to support onboarding, integration, and ongoing use of external data assets\n• Monitor data quality, coverage, and performance, proactively identifying and resolving issues in partnership with internal and external stakeholders\nExpanded Impact\n• Identify and evaluate new external data sources and strategic partners to enhance internal analytics and product capabilities\n• Align external data assets to high-priority business use cases, helping translate data capabilities into actionable insights and product features\n• Support the integration of external data into analytics workflows and product development to drive measurable business impact\nRequired Qualifications\n• 5+ years of experience in data product management, partnerships, business development, analytics operations, or a related field\n• Demonstrated ability to manage complex, cross-functional initiatives with a degree of autonomy\n• Strong communication skills — equally comfortable translating technical concepts for business audiences and business requirements for engineering teams\n• Experience managing or supporting external client or partner relationships, ideally in a B2B data, analytics, or healthcare technology context\n• Proficiency in SQL or equivalent data querying; comfort working with large, structured datasets\n• Experience building and maintaining product or technical documentation\n• Familiarity with data pipeline concepts, data schemas, and API-based data delivery\nPreferred Qualifications\n• Experience in healthcare data, claims data, or health analytics platforms\n• Familiarity with third-party healthcare data assets (e.g. IQVIA, Komodo, HealthVerity, Datavant)\n• Experience supporting or participating in commercial partnership discussions or deal processes\n• Ability to independently run basic statistical analyses or data quality checks (Python, R, or SQL)\n• Exposure to Agile methodologies and tools (Jira, Confluence, or similar)\nEducation\nBachelor's degree required, preferably in a quantitative, analytical, or technical field (Data Science, Statistics, Computer Science, Health Informatics, Economics, or related discipline).\n","description":"<div>Client: CVS Health — Analytics &amp; Behavior Change (A&amp;BC) \\u007C New York, NY / Hybrid</div><div>Engagement type: Contract-to-hire. Initial contractor engagement with planned conversion to full-time employment pending performance and mutual fit.</div><div>CVS Health's Analytics &amp; Behavior Change (A&amp;BC) organization leverages advanced analytics, machine learning, and a hypothesis-driven approach to transform data into actionable, customer-centric insights across all CVS Health businesses — serving 100+ million customers.</div><div>As Senior Manager of Data Partnerships &amp; Monetization, you will own the strategy and execution of CVS Health's external data licensing portfolio while serving as the internal authority on strategic third-party data assets. This is a high-visibility, cross-functional role requiring someone equally credible with external healthcare analytics and technology partners, internal engineering teams, and senior business stakeholders — and who can operate with a high degree of autonomy.</div><div>External Data Partnerships, Licensing &amp; Commercialization (~60%)</div><div>CVS Health licenses data products to a growing portfolio of external partners — spanning healthcare analytics and technology organizations, with emerging interest from broader industries. You will lead the sourcing, development, and management of these partnerships, ensuring our data products are commercially compelling, reliably delivered, and positioned for long-term growth.</div><div>Partnership Development &amp; Deal Execution</div><div>• Identify, source, and develop new data partnership and commercialization opportunities across healthcare, life sciences, technology, and adjacent industries</div><div>• Build and manage a pipeline of strategic partnerships, engaging prospective partners and advancing opportunities from initial discussions through deal execution</div><div>• Represent CVS Health in external forums, conferences, and partner meetings to expand market presence and originate new opportunities</div><div>• Partner with the VP of Data Products and Monetization to shape and advance new partnership opportunities, including developing commercial materials, defining partnership structures, and supporting external discussions</div><div>• Develop and standardize repeatable partnership models, including how partnerships are structured, governed, and operated, to enable scalable growth</div><div>Partner Ownership and Execution</div><div>• Own the end-to-end operational health of active data licensing partnerships including tracking deliverables, schema changes, feed updates, and SLA compliance</div><div>• Maintain clear, up-to-date documentation of data product specifications, schema changes, and release notes, ensuring partners have accurate technical reference material</div><div>• Coordinate with Data Engineering teams and partner teams to scope and deliver product enhancements (e.g., frequency upgrades, schema expansions), translating technical requirements into partner-ready solutions</div><div>• Track and report on revenue across internal scorecards and business reviews</div><div>• Plan and lead quarterly business reviews with partners, including usage analytics, product updates, and forward-looking roadmaps</div><div>Strategic Data Sourcing &amp; Product Enablement (~40%)</div><div>A&amp;BC maintains strategic data partnerships with a leading healthcare analytics provider, whose data powers solutions across CVS Health. You will serve as the internal owner and subject matter expert for these data products: driving adoption, enabling new use cases, and ensuring the data delivers maximum value across the enterprise.</div><div>• Serve as the primary point of contact for internal analytics and product teams seeking to leverage external data assets, advising on applicability, limitations, and best use cases</div><div>• Maintain accessible documentation, FAQs, and guidelines to enable self-service adoption across teams</div><div>• Partner with Data Engineering and Analytics teams to support onboarding, integration, and ongoing use of external data assets</div><div>• Monitor data quality, coverage, and performance, proactively identifying and resolving issues in partnership with internal and external stakeholders</div><div>Expanded Impact</div><div>• Identify and evaluate new external data sources and strategic partners to enhance internal analytics and product capabilities</div><div>• Align external data assets to high-priority business use cases, helping translate data capabilities into actionable insights and product features</div><div>• Support the integration of external data into analytics workflows and product development to drive measurable business impact</div><div>Required Qualifications</div><div>• 5+ years of experience in data product management, partnerships, business development, analytics operations, or a related field</div><div>• Demonstrated ability to manage complex, cross-functional initiatives with a degree of autonomy</div><div>• Strong communication skills — equally comfortable translating technical concepts for business audiences and business requirements for engineering teams</div><div>• Experience managing or supporting external client or partner relationships, ideally in a B2B data, analytics, or healthcare technology context</div><div>• Proficiency in SQL or equivalent data querying; comfort working with large, structured datasets</div><div>• Experience building and maintaining product or technical documentation</div><div>• Familiarity with data pipeline concepts, data schemas, and API-based data delivery</div><div>Preferred Qualifications</div><div>• Experience in healthcare data, claims data, or health analytics platforms</div><div>• Familiarity with third-party healthcare data assets (e.g. IQVIA, Komodo, HealthVerity, Datavant)</div><div>• Experience supporting or participating in commercial partnership discussions or deal processes</div><div>• Ability to independently run basic statistical analyses or data quality checks (Python, R, or SQL)</div><div>• Exposure to Agile methodologies and tools (Jira, Confluence, or similar)</div><div>Education</div><div>Bachelor's degree required, preferably in a quantitative, analytical, or technical field (Data Science, Statistics, Computer Science, Health Informatics, Economics, or related discipline).</div>","id":"d0a47f16-5a88-4410-935e-8e5166493924","lists":[],"text":"Senior Manager, Data Partnerships & Monetization","country":"US","workplaceType":"hybrid","opening":"","openingPlain":"","descriptionBody":"<div>Client: CVS Health — Analytics &amp; Behavior Change (A&amp;BC) \\u007C New York, NY / Hybrid</div><div>Engagement type: Contract-to-hire. Initial contractor engagement with planned conversion to full-time employment pending performance and mutual fit.</div><div>CVS Health's Analytics &amp; Behavior Change (A&amp;BC) organization leverages advanced analytics, machine learning, and a hypothesis-driven approach to transform data into actionable, customer-centric insights across all CVS Health businesses — serving 100+ million customers.</div><div>As Senior Manager of Data Partnerships &amp; Monetization, you will own the strategy and execution of CVS Health's external data licensing portfolio while serving as the internal authority on strategic third-party data assets. This is a high-visibility, cross-functional role requiring someone equally credible with external healthcare analytics and technology partners, internal engineering teams, and senior business stakeholders — and who can operate with a high degree of autonomy.</div><div>External Data Partnerships, Licensing &amp; Commercialization (~60%)</div><div>CVS Health licenses data products to a growing portfolio of external partners — spanning healthcare analytics and technology organizations, with emerging interest from broader industries. You will lead the sourcing, development, and management of these partnerships, ensuring our data products are commercially compelling, reliably delivered, and positioned for long-term growth.</div><div>Partnership Development &amp; Deal Execution</div><div>• Identify, source, and develop new data partnership and commercialization opportunities across healthcare, life sciences, technology, and adjacent industries</div><div>• Build and manage a pipeline of strategic partnerships, engaging prospective partners and advancing opportunities from initial discussions through deal execution</div><div>• Represent CVS Health in external forums, conferences, and partner meetings to expand market presence and originate new opportunities</div><div>• Partner with the VP of Data Products and Monetization to shape and advance new partnership opportunities, including developing commercial materials, defining partnership structures, and supporting external discussions</div><div>• Develop and standardize repeatable partnership models, including how partnerships are structured, governed, and operated, to enable scalable growth</div><div>Partner Ownership and Execution</div><div>• Own the end-to-end operational health of active data licensing partnerships including tracking deliverables, schema changes, feed updates, and SLA compliance</div><div>• Maintain clear, up-to-date documentation of data product specifications, schema changes, and release notes, ensuring partners have accurate technical reference material</div><div>• Coordinate with Data Engineering teams and partner teams to scope and deliver product enhancements (e.g., frequency upgrades, schema expansions), translating technical requirements into partner-ready solutions</div><div>• Track and report on revenue across internal scorecards and business reviews</div><div>• Plan and lead quarterly business reviews with partners, including usage analytics, product updates, and forward-looking roadmaps</div><div>Strategic Data Sourcing &amp; Product Enablement (~40%)</div><div>A&amp;BC maintains strategic data partnerships with a leading healthcare analytics provider, whose data powers solutions across CVS Health. You will serve as the internal owner and subject matter expert for these data products: driving adoption, enabling new use cases, and ensuring the data delivers maximum value across the enterprise.</div><div>• Serve as the primary point of contact for internal analytics and product teams seeking to leverage external data assets, advising on applicability, limitations, and best use cases</div><div>• Maintain accessible documentation, FAQs, and guidelines to enable self-service adoption across teams</div><div>• Partner with Data Engineering and Analytics teams to support onboarding, integration, and ongoing use of external data assets</div><div>• Monitor data quality, coverage, and performance, proactively identifying and resolving issues in partnership with internal and external stakeholders</div><div>Expanded Impact</div><div>• Identify and evaluate new external data sources and strategic partners to enhance internal analytics and product capabilities</div><div>• Align external data assets to high-priority business use cases, helping translate data capabilities into actionable insights and product features</div><div>• Support the integration of external data into analytics workflows and product development to drive measurable business impact</div><div>Required Qualifications</div><div>• 5+ years of experience in data product management, partnerships, business development, analytics operations, or a related field</div><div>• Demonstrated ability to manage complex, cross-functional initiatives with a degree of autonomy</div><div>• Strong communication skills — equally comfortable translating technical concepts for business audiences and business requirements for engineering teams</div><div>• Experience managing or supporting external client or partner relationships, ideally in a B2B data, analytics, or healthcare technology context</div><div>• Proficiency in SQL or equivalent data querying; comfort working with large, structured datasets</div><div>• Experience building and maintaining product or technical documentation</div><div>• Familiarity with data pipeline concepts, data schemas, and API-based data delivery</div><div>Preferred Qualifications</div><div>• Experience in healthcare data, claims data, or health analytics platforms</div><div>• Familiarity with third-party healthcare data assets (e.g. IQVIA, Komodo, HealthVerity, Datavant)</div><div>• Experience supporting or participating in commercial partnership discussions or deal processes</div><div>• Ability to independently run basic statistical analyses or data quality checks (Python, R, or SQL)</div><div>• Exposure to Agile methodologies and tools (Jira, Confluence, or similar)</div><div>Education</div><div>Bachelor's degree required, preferably in a quantitative, analytical, or technical field (Data Science, Statistics, Computer Science, Health Informatics, Economics, or related discipline).</div>","descriptionBodyPlain":"Client: CVS Health — Analytics & Behavior Change (A&BC) \\u007C New York, NY / Hybrid\nEngagement type: Contract-to-hire. Initial contractor engagement with planned conversion to full-time employment pending performance and mutual fit.\nCVS Health's Analytics & Behavior Change (A&BC) organization leverages advanced analytics, machine learning, and a hypothesis-driven approach to transform data into actionable, customer-centric insights across all CVS Health businesses — serving 100+ million customers.\nAs Senior Manager of Data Partnerships & Monetization, you will own the strategy and execution of CVS Health's external data licensing portfolio while serving as the internal authority on strategic third-party data assets. This is a high-visibility, cross-functional role requiring someone equally credible with external healthcare analytics and technology partners, internal engineering teams, and senior business stakeholders — and who can operate with a high degree of autonomy.\nExternal Data Partnerships, Licensing & Commercialization (~60%)\nCVS Health licenses data products to a growing portfolio of external partners — spanning healthcare analytics and technology organizations, with emerging interest from broader industries. You will lead the sourcing, development, and management of these partnerships, ensuring our data products are commercially compelling, reliably delivered, and positioned for long-term growth.\nPartnership Development & Deal Execution\n• Identify, source, and develop new data partnership and commercialization opportunities across healthcare, life sciences, technology, and adjacent industries\n• Build and manage a pipeline of strategic partnerships, engaging prospective partners and advancing opportunities from initial discussions through deal execution\n• Represent CVS Health in external forums, conferences, and partner meetings to expand market presence and originate new opportunities\n• Partner with the VP of Data Products and Monetization to shape and advance new partnership opportunities, including developing commercial materials, defining partnership structures, and supporting external discussions\n• Develop and standardize repeatable partnership models, including how partnerships are structured, governed, and operated, to enable scalable growth\nPartner Ownership and Execution\n• Own the end-to-end operational health of active data licensing partnerships including tracking deliverables, schema changes, feed updates, and SLA compliance\n• Maintain clear, up-to-date documentation of data product specifications, schema changes, and release notes, ensuring partners have accurate technical reference material\n• Coordinate with Data Engineering teams and partner teams to scope and deliver product enhancements (e.g., frequency upgrades, schema expansions), translating technical requirements into partner-ready solutions\n• Track and report on revenue across internal scorecards and business reviews\n• Plan and lead quarterly business reviews with partners, including usage analytics, product updates, and forward-looking roadmaps\nStrategic Data Sourcing & Product Enablement (~40%)\nA&BC maintains strategic data partnerships with a leading healthcare analytics provider, whose data powers solutions across CVS Health. You will serve as the internal owner and subject matter expert for these data products: driving adoption, enabling new use cases, and ensuring the data delivers maximum value across the enterprise.\n• Serve as the primary point of contact for internal analytics and product teams seeking to leverage external data assets, advising on applicability, limitations, and best use cases\n• Maintain accessible documentation, FAQs, and guidelines to enable self-service adoption across teams\n• Partner with Data Engineering and Analytics teams to support onboarding, integration, and ongoing use of external data assets\n• Monitor data quality, coverage, and performance, proactively identifying and resolving issues in partnership with internal and external stakeholders\nExpanded Impact\n• Identify and evaluate new external data sources and strategic partners to enhance internal analytics and product capabilities\n• Align external data assets to high-priority business use cases, helping translate data capabilities into actionable insights and product features\n• Support the integration of external data into analytics workflows and product development to drive measurable business impact\nRequired Qualifications\n• 5+ years of experience in data product management, partnerships, business development, analytics operations, or a related field\n• Demonstrated ability to manage complex, cross-functional initiatives with a degree of autonomy\n• Strong communication skills — equally comfortable translating technical concepts for business audiences and business requirements for engineering teams\n• Experience managing or supporting external client or partner relationships, ideally in a B2B data, analytics, or healthcare technology context\n• Proficiency in SQL or equivalent data querying; comfort working with large, structured datasets\n• Experience building and maintaining product or technical documentation\n• Familiarity with data pipeline concepts, data schemas, and API-based data delivery\nPreferred Qualifications\n• Experience in healthcare data, claims data, or health analytics platforms\n• Familiarity with third-party healthcare data assets (e.g. IQVIA, Komodo, HealthVerity, Datavant)\n• Experience supporting or participating in commercial partnership discussions or deal processes\n• Ability to independently run basic statistical analyses or data quality checks (Python, R, or SQL)\n• Exposure to Agile methodologies and tools (Jira, Confluence, or similar)\nEducation\nBachelor's degree required, preferably in a quantitative, analytical, or technical field (Data Science, Statistics, Computer Science, Health Informatics, Economics, or related discipline).\n","hostedUrl":"https://jobs.lever.co/hophr/d0a47f16-5a88-4410-935e-8e5166493924","applyUrl":"https://jobs.lever.co/hophr/d0a47f16-5a88-4410-935e-8e5166493924/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full- Time","department":"Engineering","location":"Remote","team":"Software Engineer","allLocations":["Remote"]},"createdAt":1771979324081,"description":"","descriptionPlain":"","id":"9cb9b2c6-6f62-460d-b537-35662c8952bf","lists":[{"text":"About the Role","content":"\n<li>Location: Petersburg, VA, US (on-site)</li>\n<li>Lead IT/OT systems staff for automation, infrastructure, security, networking, and compliance in a pharmaceutical/chemical manufacturing environment</li>\n<li>Champion cGMP compliance and regulatory requirements (GAMP5, 21CFR11)</li>\n<li>Coach and mentor direct reports and develop a high-performing cross-functional IT/OT team</li>\n"},{"text":"Essential Functions","content":"\n<li>Develop strategic direction for IT/OT assets, monitoring advancements in the industry</li>\n<li>Ensure IT/OT systems available, capable, and accessible to meet production requirements</li>\n<li>Build and develop a strong, high performing cross-functional team</li>\n<li>Manage departmental training, development, coaching, performance, and recruitment</li>\n<li>Collaborate with Site Leadership on workload solutions and IT/OT resource prioritization</li>\n"},{"text":"Qualifications","content":"\n<li>Bachelors in Engineering, Computer Science, or applicable technical degree required</li>\n<li>7+ years IT/OT systems management, automation, or security experience</li>\n<li>3+ years supervisory/team leadership experience required</li>\n<li>GAMP5, 21CFR11 compliance experience required</li>\n<li>Pharma/chemical manufacturing background preferred</li>\n<li>Knowledge of MES, SQL, Oracle a plus</li>\n"}],"text":"Senior Manager, IT & Automation - Chemical API Development and Production (Petersburg, VA)","country":"US","workplaceType":"remote","opening":"","openingPlain":"","descriptionBody":"","descriptionBodyPlain":"","hostedUrl":"https://jobs.lever.co/hophr/9cb9b2c6-6f62-460d-b537-35662c8952bf","applyUrl":"https://jobs.lever.co/hophr/9cb9b2c6-6f62-460d-b537-35662c8952bf/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Contract to hire","department":"Product & Strategy","location":"New York City, NY","team":"Product Management","allLocations":["New York City, NY"]},"createdAt":1777594447407,"descriptionPlain":"Our client, a Fortune 500 healthcare company, is hiring a Senior Product Manager within their Analytics & Behavior Change (A&BC) organization. You will lead the end-to-end development and launch of analytics-powered applications tailored for pharmaceutical and life science customers. The role requires strong product management chops, fluency in data analytics and healthcare data, and the ability to bridge technical and business perspectives. You will collaborate with business, data engineering, data science, and design teams to ship innovative analytics products — and mentor junior PMs along the way.\n\nKey Responsibilities:\n\n• Gather requirements from business and clinical teams to inform product development\n• Develop user stories, acceptance criteria, and detailed product specs for data science and engineering teams\n• Collaborate with data engineering, data science, and design to translate requirements into actionable concepts and solutions\n• Lead the design and development of backend data and analytics architecture (scalability, reliability, performance)\n• Facilitate trade-off discussions among stakeholders, balancing speed, scalability, and quality\n• Conduct user research and usability testing to inform product decisions and validate hypotheses\n• Own technical documentation including data flow diagrams and architecture specifications\n• Communicate product updates and gather feedback from business stakeholders\n• Champion Agile methodologies and best practices\n• Mentor and guide junior product managers\n• Contribute to overall product strategy and roadmap aligned to business objectives\nRequired Qualifications\n• 5+ years in Product Management with a focus on analytics or data-driven products\n• 5+ years of strong verbal and written communication, translating data and insights into clear narratives for diverse audiences\n• 3+ years collaborating cross-functionally with engineering and data science teams to deliver impactful analytics tools\n• 3+ years in the pharmaceutical analytics domain, with solid understanding of healthcare data and analytics workflows\n• 3+ years supporting the development of data visualization tools, particularly Tableau\n• 3+ years working in Agile environments using JIRA and Confluence\nPreferred Qualifications\n• Experience supporting commercial, clinical, or market access analytics in pharma / life sciences\n• Familiarity with medical and pharmacy claims data and their use in healthcare analytics\n• Understanding of data science concepts including predictive modeling and machine learning\n• Demonstrated proficiency in SQL\n","description":"<div>Our client, a Fortune 500 healthcare company, is hiring a Senior Product Manager within their Analytics &amp; Behavior Change (A&amp;BC) organization. You will lead the end-to-end development and launch of analytics-powered applications tailored for pharmaceutical and life science customers. The role requires strong product management chops, fluency in data analytics and healthcare data, and the ability to bridge technical and business perspectives. You will collaborate with business, data engineering, data science, and design teams to ship innovative analytics products — and mentor junior PMs along the way.<br><br></div>\n<div><strong>Key Responsibilities:</strong><br><br></div>\n<div>• Gather requirements from business and clinical teams to inform product development</div>\n<div>• Develop user stories, acceptance criteria, and detailed product specs for data science and engineering teams</div>\n<div>• Collaborate with data engineering, data science, and design to translate requirements into actionable concepts and solutions</div>\n<div>• Lead the design and development of backend data and analytics architecture (scalability, reliability, performance)</div>\n<div>• Facilitate trade-off discussions among stakeholders, balancing speed, scalability, and quality</div>\n<div>• Conduct user research and usability testing to inform product decisions and validate hypotheses</div>\n<div>• Own technical documentation including data flow diagrams and architecture specifications</div>\n<div>• Communicate product updates and gather feedback from business stakeholders</div>\n<div>• Champion Agile methodologies and best practices</div>\n<div>• Mentor and guide junior product managers</div>\n<div>• Contribute to overall product strategy and roadmap aligned to business objectives</div>\n<div>Required Qualifications</div>\n<div>• 5+ years in Product Management with a focus on analytics or data-driven products</div>\n<div>• 5+ years of strong verbal and written communication, translating data and insights into clear narratives for diverse audiences</div>\n<div>• 3+ years collaborating cross-functionally with engineering and data science teams to deliver impactful analytics tools</div>\n<div>• 3+ years in the pharmaceutical analytics domain, with solid understanding of healthcare data and analytics workflows</div>\n<div>• 3+ years supporting the development of data visualization tools, particularly Tableau</div>\n<div>• 3+ years working in Agile environments using JIRA and Confluence</div>\n<div>Preferred Qualifications</div>\n<div>• Experience supporting commercial, clinical, or market access analytics in pharma / life sciences</div>\n<div>• Familiarity with medical and pharmacy claims data and their use in healthcare analytics</div>\n<div>• Understanding of data science concepts including predictive modeling and machine learning</div>\n<div>• Demonstrated proficiency in SQL</div>","id":"54b5cdd0-dc1b-43eb-b91f-79bcf5ee8e2f","lists":[{"text":"Required Qualifications:","content":"\n<li>5+ years of experience in Product Management, with a strong focus on analytics or data-driven products.</li>\n<li>5+ years’ experience demonstrating strong verbal and written communication skills, including the ability to translate complex data and insights into clear, compelling narratives for diverse audiences.</li>\n<li>3+ years’ experience collaborating cross-functionally with engineering and data science teams to deliver impactful analytics tools.</li>\n<li>3+ years’ experience in the pharmaceutical analytics domain, with a solid understanding of healthcare data and analytics workflows.</li>\n<li>3+ years’ experience supporting the development of data visualization tools, with particular emphasis on Tableau.</li>\n<li>3+ years’ experience working in Agile environments, using product management and delivery tools such as JIRA and Confluence.</li>\n\n<div>&nbsp;</div>\n<div><strong>Preferred Qualifications:<br><br></strong>\n\n<li>Experience in or with the pharmaceutical or life sciences industry, particularly supporting commercial, clinical, or market access analytics.</li>\n<li>Familiarity with medical and pharmacy claims data and their application in Healthcare analytics.</li>\n<li>Understanding of data science concepts, including predictive modeling and machine learning.</li>\n<li>Demonstrated proficiency in SQL.</li>\n\n</div>"},{"text":"Education","content":"\n<li>Bachelor’s degree in a STEM field (e.g., Science, Technology, Engineering, Mathematics) is required.</li>\n<li>Master’s degree in Analytics, Data Science, MPH, or MBA) is preferred.</li>\n\n<div><strong><em><br><br><br><br><br><br></em></strong></div>"}],"salaryRange":{"min":106605,"max":284280,"currency":"USD","interval":"per-year-salary"},"salaryDescription":"<div><br>This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. &nbsp;The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. &nbsp;This position is eligible for a company bonus, commission or short-term incentive program in addition to the base pay range listed above. &nbsp;This position also includes an award target in the company’s equity award program.&nbsp;<br><br><br><strong><em>Role is based Hybrid (1-2 days / week) in NYC Soho office. Full-time Remote will also be considered.</em></strong></div>","salaryDescriptionPlain":"\nThis pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls.  The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors.  This position is eligible for a company bonus, commission or short-term incentive program in addition to the base pay range listed above.  This position also includes an award target in the company’s equity award program. \n\n\nRole is based Hybrid (1-2 days / week) in NYC Soho office. Full-time Remote will also be considered.\n","text":"Senior Product Manager, Pharma Analytics Products","country":"US","workplaceType":"hybrid","opening":"","openingPlain":"","descriptionBody":"<div>Our client, a Fortune 500 healthcare company, is hiring a Senior Product Manager within their Analytics &amp; Behavior Change (A&amp;BC) organization. You will lead the end-to-end development and launch of analytics-powered applications tailored for pharmaceutical and life science customers. The role requires strong product management chops, fluency in data analytics and healthcare data, and the ability to bridge technical and business perspectives. You will collaborate with business, data engineering, data science, and design teams to ship innovative analytics products &mdash; and mentor junior PMs along the way.<br><br></div>\n<div><strong>Key Responsibilities:</strong><br><br></div>\n<div>&bull; Gather requirements from business and clinical teams to inform product development</div>\n<div>&bull; Develop user stories, acceptance criteria, and detailed product specs for data science and engineering teams</div>\n<div>&bull; Collaborate with data engineering, data science, and design to translate requirements into actionable concepts and solutions</div>\n<div>&bull; Lead the design and development of backend data and analytics architecture (scalability, reliability, performance)</div>\n<div>&bull; Facilitate trade-off discussions among stakeholders, balancing speed, scalability, and quality</div>\n<div>&bull; Conduct user research and usability testing to inform product decisions and validate hypotheses</div>\n<div>&bull; Own technical documentation including data flow diagrams and architecture specifications</div>\n<div>&bull; Communicate product updates and gather feedback from business stakeholders</div>\n<div>&bull; Champion Agile methodologies and best practices</div>\n<div>&bull; Mentor and guide junior product managers</div>\n<div>&bull; Contribute to overall product strategy and roadmap aligned to business objectives</div>\n<div>Required Qualifications</div>\n<div>&bull; 5+ years in Product Management with a focus on analytics or data-driven products</div>\n<div>&bull; 5+ years of strong verbal and written communication, translating data and insights into clear narratives for diverse audiences</div>\n<div>&bull; 3+ years collaborating cross-functionally with engineering and data science teams to deliver impactful analytics tools</div>\n<div>&bull; 3+ years in the pharmaceutical analytics domain, with solid understanding of healthcare data and analytics workflows</div>\n<div>&bull; 3+ years supporting the development of data visualization tools, particularly Tableau</div>\n<div>&bull; 3+ years working in Agile environments using JIRA and Confluence</div>\n<div>Preferred Qualifications</div>\n<div>&bull; Experience supporting commercial, clinical, or market access analytics in pharma / life sciences</div>\n<div>&bull; Familiarity with medical and pharmacy claims data and their use in healthcare analytics</div>\n<div>&bull; Understanding of data science concepts including predictive modeling and machine learning</div>\n<div>&bull; Demonstrated proficiency in SQL</div>","descriptionBodyPlain":"Our client, a Fortune 500 healthcare company, is hiring a Senior Product Manager within their Analytics & Behavior Change (A&BC) organization. You will lead the end-to-end development and launch of analytics-powered applications tailored for pharmaceutical and life science customers. The role requires strong product management chops, fluency in data analytics and healthcare data, and the ability to bridge technical and business perspectives. You will collaborate with business, data engineering, data science, and design teams to ship innovative analytics products — and mentor junior PMs along the way.\n\nKey Responsibilities:\n\n• Gather requirements from business and clinical teams to inform product development\n• Develop user stories, acceptance criteria, and detailed product specs for data science and engineering teams\n• Collaborate with data engineering, data science, and design to translate requirements into actionable concepts and solutions\n• Lead the design and development of backend data and analytics architecture (scalability, reliability, performance)\n• Facilitate trade-off discussions among stakeholders, balancing speed, scalability, and quality\n• Conduct user research and usability testing to inform product decisions and validate hypotheses\n• Own technical documentation including data flow diagrams and architecture specifications\n• Communicate product updates and gather feedback from business stakeholders\n• Champion Agile methodologies and best practices\n• Mentor and guide junior product managers\n• Contribute to overall product strategy and roadmap aligned to business objectives\nRequired Qualifications\n• 5+ years in Product Management with a focus on analytics or data-driven products\n• 5+ years of strong verbal and written communication, translating data and insights into clear narratives for diverse audiences\n• 3+ years collaborating cross-functionally with engineering and data science teams to deliver impactful analytics tools\n• 3+ years in the pharmaceutical analytics domain, with solid understanding of healthcare data and analytics workflows\n• 3+ years supporting the development of data visualization tools, particularly Tableau\n• 3+ years working in Agile environments using JIRA and Confluence\nPreferred Qualifications\n• Experience supporting commercial, clinical, or market access analytics in pharma / life sciences\n• Familiarity with medical and pharmacy claims data and their use in healthcare analytics\n• Understanding of data science concepts including predictive modeling and machine learning\n• Demonstrated proficiency in SQL\n","hostedUrl":"https://jobs.lever.co/hophr/54b5cdd0-dc1b-43eb-b91f-79bcf5ee8e2f","applyUrl":"https://jobs.lever.co/hophr/54b5cdd0-dc1b-43eb-b91f-79bcf5ee8e2f/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full- Time","department":"Recruiting and Operation","location":"Remote","team":"Recruitment","allLocations":["Remote"]},"createdAt":1778610960760,"descriptionPlain":"Senior Technical Recruiter\nDepartment: Recruiting and Operations\nTeam: Recruitment\nLocation: Remote — Latin America (LATAM preferred) / US-friendly hours\nCommitment: Full-Time\nWorkplace type: Remote\n\n> This is the junior counterpart to Hop's Principal Technical Recruiter role. Same mission, same Moon Engine exposure — just calibrated for recruiters with 2–5 years of technical recruiting experience who want to grow into a Principal seat over the next 18–24 months.\n\n\nThe Mission\nYou'll start by doing what you do best: running full-cycle searches on technical roles and building strong candidate and client relationships.\nBut this isn't a traditional recruiting role. While you deliver hiring outcomes, you'll also learn how to integrate AI into every part of the recruiting workflow — and eventually help clients do the same as our platform launches.\nHop works with Fortune 500 companies and top VC-backed startups, specializing in GenAI, ML, Data Science, Data Engineering, Software Engineering, and Product talent.\nWe're pre-launch on Moon Engine, an agent-orchestrated recruiting ops system where autonomous agents act as decision partners, coordinating hiring with governance and auditability.\nAt Hop, you'll grow into a player-coach: a hands-on recruiter today, an AI-enabled recruiting advisor tomorrow. You'll work alongside senior recruiters and our engineering and product teams to test Moon Engine, give critical feedback, and master the future of recruiting.\nThink of it as dual-track growth: deepen your recruiting craft while becoming an expert in AI-orchestrated hiring workflows — with a clear path to a Principal seat as you mature.\n\n\n What Makes This Different\nYou're not choosing between recruiting or AI. You're learning both.\n• Hands-on recruiting excellence: You'll own searches for mid-to-senior technical talent — sourcing, engaging, interviewing, and closing. Real, high-stakes work with senior recruiter mentorship.\n• Learn AI integration deeply: As you recruit, you'll progressively adopt Moon Engine's capabilities — from AI-assisted sourcing to automated screening. You'll become fluent in how AI amplifies (not replaces) recruiter judgment.\n• Product development partner: Sit close to our engineering and product teams. Your real-world recruiting experiences become product requirements. Your feedback shapes what gets built.\n• Customer enablement track: As Moon Engine launches, you'll help onboard enterprise clients — teaching them what you've learned and growing into a trusted advisor role.\n---\nWhat You'll Actually Do\nPhase 1: Recruiting Execution (Day 1 onwards)\n• Run full-cycle searches for mid-to-senior technical roles: Software Engineers, Data Engineers, ML/Data Science contributors, Technical PMs\n• Partner with senior recruiters and hiring managers on intake, calibration, and offer strategy\n• Source, engage, interview, and close technical talent with white-glove candidate care\n• Build and grow client relationships under the guidance of a Principal recruiter\n• Hit weekly sourcing, pipeline, and submit-to-hire targets\nPhase 2: AI Integration & Learning (Progressive ramp)\n• Use Moon Engine daily on your real searches — flag what works, what's confusing, what's missing\n• Adopt AI-assisted sourcing, scoring, screening, and matching as features ship\n• Join feedback sessions with engineering and product; turn your day-to-day frictions into roadmap input\n• Document patterns and best practices as you discover them\nPhase 3: Client Enablement (As Moon Engine launches and you mature into the role)\n• Co-onboard enterprise clients alongside senior recruiters\n• Help train client recruiting teams on AI-enabled workflows\n• Step into more autonomous client relationships as you build trust and depth\n• Path to Principal Technical Recruiter within ~18–24 months for strong performers\n\n\nWho Thrives Here\nMust-Haves\n• 2–5 years of full-cycle technical recruiting experience (in-house, agency, or RPO) with closes on engineering, data, or product roles\n• Solid recruiting fundamentals: sourcing, intake, screening, scheduling, offer support, stakeholder communication — you've done all of it, even if not yet at the most senior level\n• Strong candidate communication: you can write compelling outreach, run a clean phone screen, and build rapport with passive candidates\n• Coachable + ambitious: you actively seek feedback, iterate fast, and want to grow into Principal\n• Genuinely curious about AI: you don't need a technical background, but you're excited to learn how AI can augment recruiting\n• Growth mindset: comfortable learning new tools, sitting with ambiguity, and stretching beyond what you've done before\n• Fluent English (written + verbal); LATAM-based candidates strongly preferred for US time-zone overlap\nBonus Points\n• Prior experience recruiting for ML/AI, Data Science, or platform/infra engineering roles\n• Hands-on use of AI tools (ChatGPT, Claude, AI sourcing platforms) in your current workflow\n• Background at high-growth tech companies, well-known recruiting agencies, or in-house technical recruiting teams\n• You've experimented with automations, Boolean wizardry, or \"hacks\" to work more efficiently\n• Comfortable giving product feedback or working with technical teammates\n \nCultural Fit\n• Execution-oriented: you deliver results, not excuses\n• Collaborative learner: ego doesn't get in the way of growing\n• Comfortable with ambiguity: Moon Engine is pre-launch — things will change\n• Naturally curious: you want to understand how things work, not just use them\n• Long-term thinker: you see this as a multi-year journey to become a recruiting + AI expert\n \nWhy This Opportunity Matters\nMost recruiters will eventually have to learn AI. You'll be years ahead.\nYou're not choosing between being a great recruiter or learning AI — you're mastering both while helping build the platform. Think of it like learning digital marketing in 2005. Early movers win.\n\nWhat You Gain\n• Competitive base + commission + bonus with long-term upside as Moon Engine scales\n• Clear path to Principal Technical Recruiter within 18–24 months for strong performers\n• Direct mentorship from senior recruiters and the Head of Recruiting\n• Deep AI recruiting expertise in 6–12 months\n• Product influence — your feedback shapes what gets built\n• Unlimited PTO + thought-leadership opportunities (events, podcasts, content)\n","description":"<div>Senior Technical Recruiter</div>\n<div>Department: Recruiting and Operations</div>\n<div>Team: Recruitment</div>\n<div>Location: Remote — Latin America (LATAM preferred) / US-friendly hours</div>\n<div>Commitment: Full-Time</div>\n<div>Workplace type: Remote<br><br></div>\n<div>&gt; This is the junior counterpart to Hop's Principal Technical Recruiter role. Same mission, same Moon Engine exposure — just calibrated for recruiters with 2–5 years of technical recruiting experience who want to grow into a Principal seat over the next 18–24 months.</div>\n<div><br><br></div>\n<div>The Mission</div>\n<div>You'll start by doing what you do best: running full-cycle searches on technical roles and building strong candidate and client relationships.</div>\n<div>But this isn't a traditional recruiting role. While you deliver hiring outcomes, you'll also learn how to integrate AI into every part of the recruiting workflow — and eventually help clients do the same as our platform launches.</div>\n<div>Hop works with Fortune 500 companies and top VC-backed startups, specializing in GenAI, ML, Data Science, Data Engineering, Software Engineering, and Product talent.</div>\n<div>We're pre-launch on Moon Engine, an agent-orchestrated recruiting ops system where autonomous agents act as decision partners, coordinating hiring with governance and auditability.</div>\n<div>At Hop, you'll grow into a player-coach: a hands-on recruiter today, an AI-enabled recruiting advisor tomorrow. You'll work alongside senior recruiters and our engineering and product teams to test Moon Engine, give critical feedback, and master the future of recruiting.</div>\n<div>Think of it as dual-track growth: deepen your recruiting craft while becoming an expert in AI-orchestrated hiring workflows — with a clear path to a Principal seat as you mature.</div>\n<div><br><br>&nbsp;What Makes This Different</div>\n<div>You're not choosing between recruiting or AI. You're learning both.</div>\n<div>• Hands-on recruiting excellence: You'll own searches for mid-to-senior technical talent — sourcing, engaging, interviewing, and closing. Real, high-stakes work with senior recruiter mentorship.</div>\n<div>• Learn AI integration deeply: As you recruit, you'll progressively adopt Moon Engine's capabilities — from AI-assisted sourcing to automated screening. You'll become fluent in how AI amplifies (not replaces) recruiter judgment.</div>\n<div>• Product development partner: Sit close to our engineering and product teams. Your real-world recruiting experiences become product requirements. Your feedback shapes what gets built.</div>\n<div>• Customer enablement track: As Moon Engine launches, you'll help onboard enterprise clients — teaching them what you've learned and growing into a trusted advisor role.</div>\n<div>---</div>\n<div>What You'll Actually Do</div>\n<div>Phase 1: Recruiting Execution (Day 1 onwards)</div>\n<div>• Run full-cycle searches for mid-to-senior technical roles: Software Engineers, Data Engineers, ML/Data Science contributors, Technical PMs</div>\n<div>• Partner with senior recruiters and hiring managers on intake, calibration, and offer strategy</div>\n<div>• Source, engage, interview, and close technical talent with white-glove candidate care</div>\n<div>• Build and grow client relationships under the guidance of a Principal recruiter</div>\n<div>• Hit weekly sourcing, pipeline, and submit-to-hire targets</div>\n<div>Phase 2: AI Integration &amp; Learning (Progressive ramp)</div>\n<div>• Use Moon Engine daily on your real searches — flag what works, what's confusing, what's missing</div>\n<div>• Adopt AI-assisted sourcing, scoring, screening, and matching as features ship</div>\n<div>• Join feedback sessions with engineering and product; turn your day-to-day frictions into roadmap input</div>\n<div>• Document patterns and best practices as you discover them</div>\n<div>Phase 3: Client Enablement (As Moon Engine launches and you mature into the role)</div>\n<div>• Co-onboard enterprise clients alongside senior recruiters</div>\n<div>• Help train client recruiting teams on AI-enabled workflows</div>\n<div>• Step into more autonomous client relationships as you build trust and depth</div>\n<div>• Path to Principal Technical Recruiter within ~18–24 months for strong performers</div>\n<div><br><br>Who Thrives Here</div>\n<div>Must-Haves</div>\n<div>• 2–5 years of full-cycle technical recruiting experience (in-house, agency, or RPO) with closes on engineering, data, or product roles</div>\n<div>• Solid recruiting fundamentals: sourcing, intake, screening, scheduling, offer support, stakeholder communication — you've done all of it, even if not yet at the most senior level</div>\n<div>• Strong candidate communication: you can write compelling outreach, run a clean phone screen, and build rapport with passive candidates</div>\n<div>• Coachable + ambitious: you actively seek feedback, iterate fast, and want to grow into Principal</div>\n<div>• Genuinely curious about AI: you don't need a technical background, but you're excited to learn how AI can augment recruiting</div>\n<div>• Growth mindset: comfortable learning new tools, sitting with ambiguity, and stretching beyond what you've done before</div>\n<div>• Fluent English (written + verbal); LATAM-based candidates strongly preferred for US time-zone overlap</div>\n<div>Bonus Points</div>\n<div>• Prior experience recruiting for ML/AI, Data Science, or platform/infra engineering roles</div>\n<div>• Hands-on use of AI tools (ChatGPT, Claude, AI sourcing platforms) in your current workflow</div>\n<div>• Background at high-growth tech companies, well-known recruiting agencies, or in-house technical recruiting teams</div>\n<div>• You've experimented with automations, Boolean wizardry, or \"hacks\" to work more efficiently</div>\n<div>• Comfortable giving product feedback or working with technical teammates</div>\n<div>&nbsp;</div>\n<div>Cultural Fit</div>\n<div>• Execution-oriented: you deliver results, not excuses</div>\n<div>• Collaborative learner: ego doesn't get in the way of growing</div>\n<div>• Comfortable with ambiguity: Moon Engine is pre-launch — things will change</div>\n<div>• Naturally curious: you want to understand how things work, not just use them</div>\n<div>• Long-term thinker: you see this as a multi-year journey to become a recruiting + AI expert</div>\n<div>&nbsp;</div>\n<div>Why This Opportunity Matters</div>\n<div>Most recruiters will eventually have to learn AI. You'll be years ahead.</div>\n<div>You're not choosing between being a great recruiter or learning AI — you're mastering both while helping build the platform. Think of it like learning digital marketing in 2005. Early movers win.</div>\n<div><br>What You Gain</div>\n<div>• Competitive base + commission + bonus with long-term upside as Moon Engine scales</div>\n<div>• Clear path to Principal Technical Recruiter within 18–24 months for strong performers</div>\n<div>• Direct mentorship from senior recruiters and the Head of Recruiting</div>\n<div>• Deep AI recruiting expertise in 6–12 months</div>\n<div>• Product influence — your feedback shapes what gets built</div>\n<div>• Unlimited PTO + thought-leadership opportunities (events, podcasts, content)</div>","id":"761bddbe-a717-4660-8af7-de07c3a93644","lists":[],"text":"Senior Technical Recruiter","country":"US","workplaceType":"remote","opening":"","openingPlain":"","descriptionBody":"<div>Senior Technical Recruiter</div>\n<div>Department: Recruiting and Operations</div>\n<div>Team: Recruitment</div>\n<div>Location: Remote &mdash; Latin America (LATAM preferred) / US-friendly hours</div>\n<div>Commitment: Full-Time</div>\n<div>Workplace type: Remote<br><br></div>\n<div>&gt; This is the junior counterpart to Hop's Principal Technical Recruiter role. Same mission, same Moon Engine exposure &mdash; just calibrated for recruiters with 2&ndash;5 years of technical recruiting experience who want to grow into a Principal seat over the next 18&ndash;24 months.</div>\n<div><br><br></div>\n<div>The Mission</div>\n<div>You'll start by doing what you do best: running full-cycle searches on technical roles and building strong candidate and client relationships.</div>\n<div>But this isn't a traditional recruiting role. While you deliver hiring outcomes, you'll also learn how to integrate AI into every part of the recruiting workflow &mdash; and eventually help clients do the same as our platform launches.</div>\n<div>Hop works with Fortune 500 companies and top VC-backed startups, specializing in GenAI, ML, Data Science, Data Engineering, Software Engineering, and Product talent.</div>\n<div>We're pre-launch on Moon Engine, an agent-orchestrated recruiting ops system where autonomous agents act as decision partners, coordinating hiring with governance and auditability.</div>\n<div>At Hop, you'll grow into a player-coach: a hands-on recruiter today, an AI-enabled recruiting advisor tomorrow. You'll work alongside senior recruiters and our engineering and product teams to test Moon Engine, give critical feedback, and master the future of recruiting.</div>\n<div>Think of it as dual-track growth: deepen your recruiting craft while becoming an expert in AI-orchestrated hiring workflows &mdash; with a clear path to a Principal seat as you mature.</div>\n<div><br><br>&nbsp;What Makes This Different</div>\n<div>You're not choosing between recruiting or AI. You're learning both.</div>\n<div>&bull; Hands-on recruiting excellence: You'll own searches for mid-to-senior technical talent &mdash; sourcing, engaging, interviewing, and closing. Real, high-stakes work with senior recruiter mentorship.</div>\n<div>&bull; Learn AI integration deeply: As you recruit, you'll progressively adopt Moon Engine's capabilities &mdash; from AI-assisted sourcing to automated screening. You'll become fluent in how AI amplifies (not replaces) recruiter judgment.</div>\n<div>&bull; Product development partner: Sit close to our engineering and product teams. Your real-world recruiting experiences become product requirements. Your feedback shapes what gets built.</div>\n<div>&bull; Customer enablement track: As Moon Engine launches, you'll help onboard enterprise clients &mdash; teaching them what you've learned and growing into a trusted advisor role.</div>\n<div>---</div>\n<div>What You'll Actually Do</div>\n<div>Phase 1: Recruiting Execution (Day 1 onwards)</div>\n<div>&bull; Run full-cycle searches for mid-to-senior technical roles: Software Engineers, Data Engineers, ML/Data Science contributors, Technical PMs</div>\n<div>&bull; Partner with senior recruiters and hiring managers on intake, calibration, and offer strategy</div>\n<div>&bull; Source, engage, interview, and close technical talent with white-glove candidate care</div>\n<div>&bull; Build and grow client relationships under the guidance of a Principal recruiter</div>\n<div>&bull; Hit weekly sourcing, pipeline, and submit-to-hire targets</div>\n<div>Phase 2: AI Integration &amp; Learning (Progressive ramp)</div>\n<div>&bull; Use Moon Engine daily on your real searches &mdash; flag what works, what's confusing, what's missing</div>\n<div>&bull; Adopt AI-assisted sourcing, scoring, screening, and matching as features ship</div>\n<div>&bull; Join feedback sessions with engineering and product; turn your day-to-day frictions into roadmap input</div>\n<div>&bull; Document patterns and best practices as you discover them</div>\n<div>Phase 3: Client Enablement (As Moon Engine launches and you mature into the role)</div>\n<div>&bull; Co-onboard enterprise clients alongside senior recruiters</div>\n<div>&bull; Help train client recruiting teams on AI-enabled workflows</div>\n<div>&bull; Step into more autonomous client relationships as you build trust and depth</div>\n<div>&bull; Path to Principal Technical Recruiter within ~18&ndash;24 months for strong performers</div>\n<div><br><br>Who Thrives Here</div>\n<div>Must-Haves</div>\n<div>&bull; 2&ndash;5 years of full-cycle technical recruiting experience (in-house, agency, or RPO) with closes on engineering, data, or product roles</div>\n<div>&bull; Solid recruiting fundamentals: sourcing, intake, screening, scheduling, offer support, stakeholder communication &mdash; you've done all of it, even if not yet at the most senior level</div>\n<div>&bull; Strong candidate communication: you can write compelling outreach, run a clean phone screen, and build rapport with passive candidates</div>\n<div>&bull; Coachable + ambitious: you actively seek feedback, iterate fast, and want to grow into Principal</div>\n<div>&bull; Genuinely curious about AI: you don't need a technical background, but you're excited to learn how AI can augment recruiting</div>\n<div>&bull; Growth mindset: comfortable learning new tools, sitting with ambiguity, and stretching beyond what you've done before</div>\n<div>&bull; Fluent English (written + verbal); LATAM-based candidates strongly preferred for US time-zone overlap</div>\n<div>Bonus Points</div>\n<div>&bull; Prior experience recruiting for ML/AI, Data Science, or platform/infra engineering roles</div>\n<div>&bull; Hands-on use of AI tools (ChatGPT, Claude, AI sourcing platforms) in your current workflow</div>\n<div>&bull; Background at high-growth tech companies, well-known recruiting agencies, or in-house technical recruiting teams</div>\n<div>&bull; You've experimented with automations, Boolean wizardry, or \"hacks\" to work more efficiently</div>\n<div>&bull; Comfortable giving product feedback or working with technical teammates</div>\n<div>&nbsp;</div>\n<div>Cultural Fit</div>\n<div>&bull; Execution-oriented: you deliver results, not excuses</div>\n<div>&bull; Collaborative learner: ego doesn't get in the way of growing</div>\n<div>&bull; Comfortable with ambiguity: Moon Engine is pre-launch &mdash; things will change</div>\n<div>&bull; Naturally curious: you want to understand how things work, not just use them</div>\n<div>&bull; Long-term thinker: you see this as a multi-year journey to become a recruiting + AI expert</div>\n<div>&nbsp;</div>\n<div>Why This Opportunity Matters</div>\n<div>Most recruiters will eventually have to learn AI. You'll be years ahead.</div>\n<div>You're not choosing between being a great recruiter or learning AI &mdash; you're mastering both while helping build the platform. Think of it like learning digital marketing in 2005. Early movers win.</div>\n<div><br>What You Gain</div>\n<div>&bull; Competitive base + commission + bonus with long-term upside as Moon Engine scales</div>\n<div>&bull; Clear path to Principal Technical Recruiter within 18&ndash;24 months for strong performers</div>\n<div>&bull; Direct mentorship from senior recruiters and the Head of Recruiting</div>\n<div>&bull; Deep AI recruiting expertise in 6&ndash;12 months</div>\n<div>&bull; Product influence &mdash; your feedback shapes what gets built</div>\n<div>&bull; Unlimited PTO + thought-leadership opportunities (events, podcasts, content)</div>","descriptionBodyPlain":"Senior Technical Recruiter\nDepartment: Recruiting and Operations\nTeam: Recruitment\nLocation: Remote — Latin America (LATAM preferred) / US-friendly hours\nCommitment: Full-Time\nWorkplace type: Remote\n\n> This is the junior counterpart to Hop's Principal Technical Recruiter role. Same mission, same Moon Engine exposure — just calibrated for recruiters with 2–5 years of technical recruiting experience who want to grow into a Principal seat over the next 18–24 months.\n\n\nThe Mission\nYou'll start by doing what you do best: running full-cycle searches on technical roles and building strong candidate and client relationships.\nBut this isn't a traditional recruiting role. While you deliver hiring outcomes, you'll also learn how to integrate AI into every part of the recruiting workflow — and eventually help clients do the same as our platform launches.\nHop works with Fortune 500 companies and top VC-backed startups, specializing in GenAI, ML, Data Science, Data Engineering, Software Engineering, and Product talent.\nWe're pre-launch on Moon Engine, an agent-orchestrated recruiting ops system where autonomous agents act as decision partners, coordinating hiring with governance and auditability.\nAt Hop, you'll grow into a player-coach: a hands-on recruiter today, an AI-enabled recruiting advisor tomorrow. You'll work alongside senior recruiters and our engineering and product teams to test Moon Engine, give critical feedback, and master the future of recruiting.\nThink of it as dual-track growth: deepen your recruiting craft while becoming an expert in AI-orchestrated hiring workflows — with a clear path to a Principal seat as you mature.\n\n\n What Makes This Different\nYou're not choosing between recruiting or AI. You're learning both.\n• Hands-on recruiting excellence: You'll own searches for mid-to-senior technical talent — sourcing, engaging, interviewing, and closing. Real, high-stakes work with senior recruiter mentorship.\n• Learn AI integration deeply: As you recruit, you'll progressively adopt Moon Engine's capabilities — from AI-assisted sourcing to automated screening. You'll become fluent in how AI amplifies (not replaces) recruiter judgment.\n• Product development partner: Sit close to our engineering and product teams. Your real-world recruiting experiences become product requirements. Your feedback shapes what gets built.\n• Customer enablement track: As Moon Engine launches, you'll help onboard enterprise clients — teaching them what you've learned and growing into a trusted advisor role.\n---\nWhat You'll Actually Do\nPhase 1: Recruiting Execution (Day 1 onwards)\n• Run full-cycle searches for mid-to-senior technical roles: Software Engineers, Data Engineers, ML/Data Science contributors, Technical PMs\n• Partner with senior recruiters and hiring managers on intake, calibration, and offer strategy\n• Source, engage, interview, and close technical talent with white-glove candidate care\n• Build and grow client relationships under the guidance of a Principal recruiter\n• Hit weekly sourcing, pipeline, and submit-to-hire targets\nPhase 2: AI Integration & Learning (Progressive ramp)\n• Use Moon Engine daily on your real searches — flag what works, what's confusing, what's missing\n• Adopt AI-assisted sourcing, scoring, screening, and matching as features ship\n• Join feedback sessions with engineering and product; turn your day-to-day frictions into roadmap input\n• Document patterns and best practices as you discover them\nPhase 3: Client Enablement (As Moon Engine launches and you mature into the role)\n• Co-onboard enterprise clients alongside senior recruiters\n• Help train client recruiting teams on AI-enabled workflows\n• Step into more autonomous client relationships as you build trust and depth\n• Path to Principal Technical Recruiter within ~18–24 months for strong performers\n\n\nWho Thrives Here\nMust-Haves\n• 2–5 years of full-cycle technical recruiting experience (in-house, agency, or RPO) with closes on engineering, data, or product roles\n• Solid recruiting fundamentals: sourcing, intake, screening, scheduling, offer support, stakeholder communication — you've done all of it, even if not yet at the most senior level\n• Strong candidate communication: you can write compelling outreach, run a clean phone screen, and build rapport with passive candidates\n• Coachable + ambitious: you actively seek feedback, iterate fast, and want to grow into Principal\n• Genuinely curious about AI: you don't need a technical background, but you're excited to learn how AI can augment recruiting\n• Growth mindset: comfortable learning new tools, sitting with ambiguity, and stretching beyond what you've done before\n• Fluent English (written + verbal); LATAM-based candidates strongly preferred for US time-zone overlap\nBonus Points\n• Prior experience recruiting for ML/AI, Data Science, or platform/infra engineering roles\n• Hands-on use of AI tools (ChatGPT, Claude, AI sourcing platforms) in your current workflow\n• Background at high-growth tech companies, well-known recruiting agencies, or in-house technical recruiting teams\n• You've experimented with automations, Boolean wizardry, or \"hacks\" to work more efficiently\n• Comfortable giving product feedback or working with technical teammates\n \nCultural Fit\n• Execution-oriented: you deliver results, not excuses\n• Collaborative learner: ego doesn't get in the way of growing\n• Comfortable with ambiguity: Moon Engine is pre-launch — things will change\n• Naturally curious: you want to understand how things work, not just use them\n• Long-term thinker: you see this as a multi-year journey to become a recruiting + AI expert\n \nWhy This Opportunity Matters\nMost recruiters will eventually have to learn AI. You'll be years ahead.\nYou're not choosing between being a great recruiter or learning AI — you're mastering both while helping build the platform. Think of it like learning digital marketing in 2005. Early movers win.\n\nWhat You Gain\n• Competitive base + commission + bonus with long-term upside as Moon Engine scales\n• Clear path to Principal Technical Recruiter within 18–24 months for strong performers\n• Direct mentorship from senior recruiters and the Head of Recruiting\n• Deep AI recruiting expertise in 6–12 months\n• Product influence — your feedback shapes what gets built\n• Unlimited PTO + thought-leadership opportunities (events, podcasts, content)\n","hostedUrl":"https://jobs.lever.co/hophr/761bddbe-a717-4660-8af7-de07c3a93644","applyUrl":"https://jobs.lever.co/hophr/761bddbe-a717-4660-8af7-de07c3a93644/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full- Time","department":"Product & Strategy","location":"Los Angeles","team":"Product Management","allLocations":["Los Angeles"]},"createdAt":1776466112258,"descriptionPlain":"Our client is a Tech/Family Office company serving the investments, foundations, and activities of a prominent family. With a broad mandate, the organization oversees diverse assets and programs, including multiple foundations and institutes. Across its entities, it manages hundreds of employees and oversees significant annual expenditures, ranging from grants and gifts to private investments and operational costs.\n \nThey are seeking a UX/UI Designer to own the end-to-end design of complex, data-intensive enterprise applications spanning grants administration, financial operations, and more. This is not a role for someone who needs every requirement handed to them. You will work in a fast-moving environment where stakeholder needs are often loosely defined, priorities evolve quickly, and your ability to drive clarity through design is as critical as your craft. The ideal candidate is an expert Figma practitioner, a rigorous systems thinker, and deeply experienced in designing interfaces that make large, complex datasets feel intuitive and actionable to real users.\n","description":"<div>Our client is a Tech/Family Office company serving the investments, foundations, and activities of a prominent family. With a broad mandate, the organization oversees diverse assets and programs, including multiple foundations and institutes. Across its entities, it manages hundreds of employees and oversees significant annual expenditures, ranging from grants and gifts to private investments and operational costs.</div>\n<div>&nbsp;</div>\n<div>They are seeking a UX/UI Designer to own the end-to-end design of complex, data-intensive enterprise applications spanning grants administration, financial operations, and more. This is not a role for someone who needs every requirement handed to them. You will work in a fast-moving environment where stakeholder needs are often loosely defined, priorities evolve quickly, and your ability to drive clarity through design is as critical as your craft. The ideal candidate is an expert Figma practitioner, a rigorous systems thinker, and deeply experienced in designing interfaces that make large, complex datasets feel intuitive and actionable to real users.</div>","id":"1bce7d2c-dc9a-4f4d-b7a9-9f0bfe60f223","lists":[{"text":"Responsibilities:","content":"\n<li><strong>Own Design End-to-End: </strong>Lead UX/UI design for enterprise class applications independently&nbsp;from discovery through delivery — conducting research, producing user flows, wireframes,&nbsp;interactive prototypes, and pixel-precise high-fidelity mockups in Figma with minimal&nbsp;supervision.</li>\n<li><strong>Drive Clarity from Ambiguity:</strong> When requirements are vague, competing, or incomplete —&nbsp;step in to facilitate, ask the sharpest questions, and define a path forward. Translate fuzzy&nbsp;business needs into crisp design briefs by showing stakeholders options, not asking open-&nbsp;ended questions.</li>\n<li><strong>Design for Complex Data:</strong> Craft clear, scannable, high-performance interfaces for dashboards,&nbsp;data tables, reports, analytics views, and multi-entity workflows. Design for large datasets —&nbsp;pagination, filtering, sorting, drill-down, bulk actions — with the same care given to visual polish.</li>\n<li><strong>Prototype Fast, Learn Faster:</strong> Build quick, functional prototypes in Figma — and with AI tools&nbsp;where appropriate — to put ideas in front of real users early, before engineering cycles are&nbsp;committed. Treat prototyping as your primary thinking tool.</li>\n<li><strong>Master the Details:</strong> Go deep on every state: loading, empty, error, overflow, edge case.&nbsp;Produce Figma files precise enough to hand off without a single ambiguous pixel.</li>\n<li><strong>Build and Own the Design System: </strong>Architect and maintain a comprehensive enterprise&nbsp;design system in Figma — component libraries, design tokens, variables, auto-layout patterns,&nbsp;and thorough documentation — that scales reliably across multiple applications and&nbsp;development teams.</li>\n<li><strong>Leverage AI in Your Workflow:</strong> Actively use AI design and prototyping tools to accelerate&nbsp;output, explore interaction patterns, and design intuitive interfaces for AI-native features such as&nbsp;natural language dashboards, intelligent query tools, and automated reporting surfaces.</li>\n<li><strong>User Research &amp; Validation:</strong> Plan and conduct user interviews, usability tests, and contextual&nbsp;inquiry with internal stakeholders. Synthesize findings quickly and translate insights into&nbsp;concrete design decisions.</li>\n<li><strong>Stay Embedded with Engineering:</strong> Participate in development handoff, review&nbsp;implementations against your specs, flag design drift early, and hold a high bar for what ships.&nbsp;Your job isn't done at handoff.</li>\n<li><strong>Accessibility Without Compromise:</strong> Design to WCAG 2.1 AA standards as a baseline —&nbsp;embedding inclusive design principles throughout, not bolting them on at the end.</li>\n<li><strong>Travel:</strong> Willingness to travel occasionally as needed to meet with stakeholders, conduct user&nbsp;research sessions, or support key project milestones.</li>\n"},{"text":"Qualifications & Requirements:","content":"\n<li>5+ years of UX/UI design experience with a strong portfolio demonstrating mastery of complex,&nbsp;data-dense enterprise applications. Experience in fintech, investment management, or&nbsp;professional data tools strongly preferred.</li>\n<li>High agency.</li>\n<li>Expert-level Figma proficiency — component libraries, design tokens, variables, auto-layout,&nbsp;advanced prototyping, and Dev Mode handoff.</li>\n<li>Deep specialization in data-heavy interface design: tables, dashboards, analytics views, filtering&nbsp;systems, multi step workflows, and reporting interfaces for large, complex, multi-variable&nbsp;datasets.</li>\n<li>Demonstrated ability to thrive in fast-paced, ambiguous environments — comfortable starting&nbsp;from incomplete information, making well-reasoned assumptions, and iterating quickly as clarity&nbsp;emerges.</li>\n<li>Proven track record of driving clarity: shaping underspecified requirements into actionable&nbsp;design briefs, facilitating alignment across stakeholders, and moving work forward when others&nbsp;stall.</li>\n<li>High agency and self-starter mentality — you set your own direction, manage your own&nbsp;workload, and deliver without needing constant oversight.</li>\n<li>Strong track record of rapid prototyping using Figma, AI tools, or lightweight code to validate&nbsp;ideas before full engineering investment.</li>\n<li>Active, curious user of AI design and productivity tools — and a genuine commitment to staying&nbsp;current as the tooling evolves.</li>\n<li>Meticulous attention to detail: complete, precise specs that account for every edge case, error&nbsp;state, and real-world data condition.</li>\n<li>Working knowledge of front-end technologies (HTML, CSS, JavaScript) sufficient to have&nbsp;credible conversations with engineers about feasibility and constraints.</li>\n<li>Solid understanding of information architecture — able to design navigation systems and&nbsp;content hierarchies for multi-role, multi-entity platforms where IA errors have real workflow&nbsp;consequences.</li>\n<li>Deep understanding of WCAG 2.1/2.2 accessibility standards and inclusive design principles.</li>\n<li>Excellent communication skills — able to present design rationale clearly and defend decisions&nbsp;with evidence to product, engineering, and executive audiences.</li>\n<li>Willingness to travel occasionally as needed to support stakeholder engagement or user&nbsp;research.</li>\n<li>Bachelor's or Master's degree in Interaction Design, Human-Computer Interaction, Graphic&nbsp;Design, or equivalent demonstrated experience.</li>\n"},{"text":"Ideal Candidate Profile:","content":"\n<li>Self-directed and high-agency — identifies what needs to be done, creates a plan, and executes&nbsp;without waiting to be asked.</li>\n<li>Doesn't freeze in ambiguity — asks the sharpest question in the room, makes a call, and&nbsp;moves. Ambiguity is fuel, not friction.</li>\n<li>Prototypes to think, not just to present — rough ideas in front of real users, early and often.</li>\n<li>Actively using AI and experimenting with new tools, treating them as a competitive advantage.</li>\n<li>Obsesses over the details — precision in design translates directly to clarity for users navigating&nbsp;systems with thousands of data points.</li>\n<li>Finds deep satisfaction in making complexity feel simple — turning dense, multi-entity data into&nbsp;interfaces that feel obvious in hindsight.</li>\n<li>Holds a high bar for what ships and follows work into production.</li>\n<li>Thrives in a fast-moving environment — adapts quickly, reprioritizes without friction, keeps&nbsp;momentum even when the ground shifts.</li>\n"},{"text":"Additional Details:","content":"<div>\n\n<li style=\"list-style-type: revert;\">Only open to U.S. Citizens or Green Card holders.</li>\n<li style=\"list-style-type: revert;\">The role is in-office (LA) - West Hollywood.</li>\n<li style=\"list-style-type: revert;\">Compensation includes a strong base + bonus (no equity, as they’re private).Compensation includes a strong base + bonus (no equity, as they’re private).</li>\n\n</div>"}],"text":"Sr. UX/UI Designer – Enterprise & Data Applications","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"<div>Our client is a Tech/Family Office company serving the investments, foundations, and activities of a prominent family. With a broad mandate, the organization oversees diverse assets and programs, including multiple foundations and institutes. Across its entities, it manages hundreds of employees and oversees significant annual expenditures, ranging from grants and gifts to private investments and operational costs.</div>\n<div>&nbsp;</div>\n<div>They are seeking a UX/UI Designer to own the end-to-end design of complex, data-intensive enterprise applications spanning grants administration, financial operations, and more. This is not a role for someone who needs every requirement handed to them. You will work in a fast-moving environment where stakeholder needs are often loosely defined, priorities evolve quickly, and your ability to drive clarity through design is as critical as your craft. The ideal candidate is an expert Figma practitioner, a rigorous systems thinker, and deeply experienced in designing interfaces that make large, complex datasets feel intuitive and actionable to real users.</div>","descriptionBodyPlain":"Our client is a Tech/Family Office company serving the investments, foundations, and activities of a prominent family. With a broad mandate, the organization oversees diverse assets and programs, including multiple foundations and institutes. Across its entities, it manages hundreds of employees and oversees significant annual expenditures, ranging from grants and gifts to private investments and operational costs.\n \nThey are seeking a UX/UI Designer to own the end-to-end design of complex, data-intensive enterprise applications spanning grants administration, financial operations, and more. This is not a role for someone who needs every requirement handed to them. You will work in a fast-moving environment where stakeholder needs are often loosely defined, priorities evolve quickly, and your ability to drive clarity through design is as critical as your craft. The ideal candidate is an expert Figma practitioner, a rigorous systems thinker, and deeply experienced in designing interfaces that make large, complex datasets feel intuitive and actionable to real users.\n","hostedUrl":"https://jobs.lever.co/hophr/1bce7d2c-dc9a-4f4d-b7a9-9f0bfe60f223","applyUrl":"https://jobs.lever.co/hophr/1bce7d2c-dc9a-4f4d-b7a9-9f0bfe60f223/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full- Time","department":"Engineering","location":"Dallas, TX","team":"Artificial Intelligence","allLocations":["Dallas, TX"]},"createdAt":1776664794388,"descriptionPlain":"If you're a builder with a passion for AI, a global semiconductor company wants you on our SoC AI team as a Staff Engineer focused on agentic models. We're redefining how autonomous systems interact with the real world, and we need creative minds who thrive in rapid-paced, mission-driven environments. Here, you'll gain unique experience integrating AI models with both software and hardware, learning how to make autonomous systems function seamlessly across the entire stack. You'll take models from initial concept through training, fine-tuning, and RL, deploying them for agentic systems. We're laser-focused on innovation and adaptability - here, your ideas will shape the next wave of smart, agentic devices.\nWhat You'll Do:\n• Own the full lifecycle of agentic AI models: architect, train, fine-tune, and optimize it for AI agents.\n• Work hand-in-hand with hardware, software, and product teams to put advanced, autonomous behaviors into smart agentic systems.\n• Prototype with the latest RL and multi-agent paradigms, pushing boundaries and making models work in the real world - even when resources are tight.\n• Constantly iterate - tune for speed, reliability, efficiency, and seamless integration with embedded hardware.\n• Identify new ways to leverage agentic models across edge and embedded AI, staying ahead of the curve and championing next-gen applications.\nWho You Are:\n• Deeply hands-on with AI model development for agentic systems - your GitHub showcases innovative real-world projects, or you have published technical papers in top conferences demonstrating your creative and practical expertise.\n• Experience in autonomous agent modeling, RL, adaptive algorithms, and frameworks like RAG, persistent memory, and multi-agent collaboration.\n• Fluent in Python and C/C++, and at home in TensorFlow, PyTorch, or similar platforms.\n• Problem solver and communicator - ready to connect, share, and lead in a diverse, cross-functional team.\nBonus Points:\n• Strong grasp of optimizing AI on any hardware for strict resource budgets.\n• Track record of launching real-world models and AI-powered products that users love.\nWhy Join Us?\nYou'll be at the epicenter of game-changing AI innovation, driving the evolution of intelligent embedded systems that are poised to transform entire industries. Join forces with brilliant engineers, tap into breakthrough technologies, and play a pivotal role in revolutionizing automotive, industrial automation, and IoT. Here, your contributions won't just move the needle - they'll redefine what's possible and shape the future of smart devices worldwide.\n","description":"<div>If you're a builder with a passion for AI, a global semiconductor company wants you on our SoC AI team as a Staff Engineer focused on agentic models. We're redefining how autonomous systems interact with the real world, and we need creative minds who thrive in rapid-paced, mission-driven environments. Here, you'll gain unique experience integrating AI models with both software and hardware, learning how to make autonomous systems function seamlessly across the entire stack. You'll take models from initial concept through training, fine-tuning, and RL, deploying them for agentic systems. We're laser-focused on innovation and adaptability - here, your ideas will shape the next wave of smart, agentic devices.</div><div>What You'll Do:</div><div>• Own the full lifecycle of agentic AI models: architect, train, fine-tune, and optimize it for AI agents.</div><div>• Work hand-in-hand with hardware, software, and product teams to put advanced, autonomous behaviors into smart agentic systems.</div><div>• Prototype with the latest RL and multi-agent paradigms, pushing boundaries and making models work in the real world - even when resources are tight.</div><div>• Constantly iterate - tune for speed, reliability, efficiency, and seamless integration with embedded hardware.</div><div>• Identify new ways to leverage agentic models across edge and embedded AI, staying ahead of the curve and championing next-gen applications.</div><div>Who You Are:</div><div>• Deeply hands-on with AI model development for agentic systems - your GitHub showcases innovative real-world projects, or you have published technical papers in top conferences demonstrating your creative and practical expertise.</div><div>• Experience in autonomous agent modeling, RL, adaptive algorithms, and frameworks like RAG, persistent memory, and multi-agent collaboration.</div><div>• Fluent in Python and C/C++, and at home in TensorFlow, PyTorch, or similar platforms.</div><div>• Problem solver and communicator - ready to connect, share, and lead in a diverse, cross-functional team.</div><div>Bonus Points:</div><div>• Strong grasp of optimizing AI on any hardware for strict resource budgets.</div><div>• Track record of launching real-world models and AI-powered products that users love.</div><div>Why Join Us?</div><div>You'll be at the epicenter of game-changing AI innovation, driving the evolution of intelligent embedded systems that are poised to transform entire industries. Join forces with brilliant engineers, tap into breakthrough technologies, and play a pivotal role in revolutionizing automotive, industrial automation, and IoT. Here, your contributions won't just move the needle - they'll redefine what's possible and shape the future of smart devices worldwide.</div>","id":"f091a646-d374-4670-b979-1d8b84bb3911","lists":[],"text":"Staff Engineer, Agentic Models","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"<div>If you're a builder with a passion for AI, a global semiconductor company wants you on our SoC AI team as a Staff Engineer focused on agentic models. We're redefining how autonomous systems interact with the real world, and we need creative minds who thrive in rapid-paced, mission-driven environments. Here, you'll gain unique experience integrating AI models with both software and hardware, learning how to make autonomous systems function seamlessly across the entire stack. You'll take models from initial concept through training, fine-tuning, and RL, deploying them for agentic systems. We're laser-focused on innovation and adaptability - here, your ideas will shape the next wave of smart, agentic devices.</div><div>What You'll Do:</div><div>• Own the full lifecycle of agentic AI models: architect, train, fine-tune, and optimize it for AI agents.</div><div>• Work hand-in-hand with hardware, software, and product teams to put advanced, autonomous behaviors into smart agentic systems.</div><div>• Prototype with the latest RL and multi-agent paradigms, pushing boundaries and making models work in the real world - even when resources are tight.</div><div>• Constantly iterate - tune for speed, reliability, efficiency, and seamless integration with embedded hardware.</div><div>• Identify new ways to leverage agentic models across edge and embedded AI, staying ahead of the curve and championing next-gen applications.</div><div>Who You Are:</div><div>• Deeply hands-on with AI model development for agentic systems - your GitHub showcases innovative real-world projects, or you have published technical papers in top conferences demonstrating your creative and practical expertise.</div><div>• Experience in autonomous agent modeling, RL, adaptive algorithms, and frameworks like RAG, persistent memory, and multi-agent collaboration.</div><div>• Fluent in Python and C/C++, and at home in TensorFlow, PyTorch, or similar platforms.</div><div>• Problem solver and communicator - ready to connect, share, and lead in a diverse, cross-functional team.</div><div>Bonus Points:</div><div>• Strong grasp of optimizing AI on any hardware for strict resource budgets.</div><div>• Track record of launching real-world models and AI-powered products that users love.</div><div>Why Join Us?</div><div>You'll be at the epicenter of game-changing AI innovation, driving the evolution of intelligent embedded systems that are poised to transform entire industries. Join forces with brilliant engineers, tap into breakthrough technologies, and play a pivotal role in revolutionizing automotive, industrial automation, and IoT. Here, your contributions won't just move the needle - they'll redefine what's possible and shape the future of smart devices worldwide.</div>","descriptionBodyPlain":"If you're a builder with a passion for AI, a global semiconductor company wants you on our SoC AI team as a Staff Engineer focused on agentic models. We're redefining how autonomous systems interact with the real world, and we need creative minds who thrive in rapid-paced, mission-driven environments. Here, you'll gain unique experience integrating AI models with both software and hardware, learning how to make autonomous systems function seamlessly across the entire stack. You'll take models from initial concept through training, fine-tuning, and RL, deploying them for agentic systems. We're laser-focused on innovation and adaptability - here, your ideas will shape the next wave of smart, agentic devices.\nWhat You'll Do:\n• Own the full lifecycle of agentic AI models: architect, train, fine-tune, and optimize it for AI agents.\n• Work hand-in-hand with hardware, software, and product teams to put advanced, autonomous behaviors into smart agentic systems.\n• Prototype with the latest RL and multi-agent paradigms, pushing boundaries and making models work in the real world - even when resources are tight.\n• Constantly iterate - tune for speed, reliability, efficiency, and seamless integration with embedded hardware.\n• Identify new ways to leverage agentic models across edge and embedded AI, staying ahead of the curve and championing next-gen applications.\nWho You Are:\n• Deeply hands-on with AI model development for agentic systems - your GitHub showcases innovative real-world projects, or you have published technical papers in top conferences demonstrating your creative and practical expertise.\n• Experience in autonomous agent modeling, RL, adaptive algorithms, and frameworks like RAG, persistent memory, and multi-agent collaboration.\n• Fluent in Python and C/C++, and at home in TensorFlow, PyTorch, or similar platforms.\n• Problem solver and communicator - ready to connect, share, and lead in a diverse, cross-functional team.\nBonus Points:\n• Strong grasp of optimizing AI on any hardware for strict resource budgets.\n• Track record of launching real-world models and AI-powered products that users love.\nWhy Join Us?\nYou'll be at the epicenter of game-changing AI innovation, driving the evolution of intelligent embedded systems that are poised to transform entire industries. Join forces with brilliant engineers, tap into breakthrough technologies, and play a pivotal role in revolutionizing automotive, industrial automation, and IoT. Here, your contributions won't just move the needle - they'll redefine what's possible and shape the future of smart devices worldwide.\n","hostedUrl":"https://jobs.lever.co/hophr/f091a646-d374-4670-b979-1d8b84bb3911","applyUrl":"https://jobs.lever.co/hophr/f091a646-d374-4670-b979-1d8b84bb3911/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full- Time","department":"Engineering","location":"Dallas, TX","team":"Artificial Intelligence","allLocations":["Dallas, TX"]},"createdAt":1776664643227,"descriptionPlain":"A global semiconductor company is on the hunt for a trailblazing Agentic Product Developer to supercharge our System-on-Chip (SoC) AI team. If you thrive in a fast-moving, startup-style environment where every day brings new challenges, trends, and opportunities, this role is for you. We're building AI-first products that redefine autonomy and adaptability; our systems are designed to learn, evolve, and make decisions independently. We're looking for someone who's passionate, self-motivated, and hungry to push boundaries - someone who's obsessed with staying ahead of the curve and rapidly adapting to the latest in AI and embedded tech. If you have a proven track record in AI, embedded systems, and product innovation, and you love turning groundbreaking ideas into impactful products, join us to shape the future of intelligent devices.\nKey Responsibilities:\n• Own the full lifecycle of AI-first agentic systems, from rapid ideation and requirements gathering through architecture, implementation, hands-on testing, and launch - using AI for all stages unless a human touch is essential.\n• Work side-by-side with hardware, software, and product teams to embed AI capabilities that drive agentic behavior - autonomy, continuous learning, and real-time adaptability - directly onto smart devices, with human input only when necessary.\n• Constantly scout, experiment with, and deploy the latest AI models and algorithms - like reinforcement learning and multi-agent systems, adopting new tech every day rather than waiting for monthly cycles.\n• Push the limits by tuning AI solutions for top-tier performance, ultra-efficient power usage, and bulletproof reliability on our SoC platforms, leveraging AI-driven optimization wherever possible.\nRequired Qualifications:\n• Showcase your hands-on artifacts in AI product development - with real-world agentic projects or a public GitHub bursting with innovation.\n• Bring deep mastery in agentic AI systems, from building autonomous agents and crafting reinforcement learning solutions to deploying adaptive algorithms and cutting-edge tech like Retrieval-Augmented Generation (RAG), persistent memory operating systems, and collaborative multi-agent architectures.\n• Be fluent in Python and C/C++, and have strong street cred using top-tier AI frameworks like TensorFlow and PyTorch.\n• Crush complex problems, communicate like a pro, and inspire teams with your leadership mojo.\nPreferred Qualifications:\n• Deep chops in hardware/software co-design - think seamlessly fusing code and circuits for next-level products.\n• Hands-on experience building and turbocharging embedded software for devices where every byte and milliwatt counts.\n• A proven track record shipping game-changing AI and embedded products that actually make it to market.\nWhy Join Us?\nYou'll be at the epicenter of game-changing AI innovation, driving the evolution of intelligent embedded systems that are poised to transform entire industries. Join forces with brilliant engineers, tap into breakthrough technologies, and play a pivotal role in revolutionizing automotive, industrial automation, and IoT. Here, your contributions won't just move the needle - they'll redefine what's possible and shape the future of smart devices worldwide.\n","description":"<div>A global semiconductor company is on the hunt for a trailblazing Agentic Product Developer to supercharge our System-on-Chip (SoC) AI team. If you thrive in a fast-moving, startup-style environment where every day brings new challenges, trends, and opportunities, this role is for you. We're building AI-first products that redefine autonomy and adaptability; our systems are designed to learn, evolve, and make decisions independently. We're looking for someone who's passionate, self-motivated, and hungry to push boundaries - someone who's obsessed with staying ahead of the curve and rapidly adapting to the latest in AI and embedded tech. If you have a proven track record in AI, embedded systems, and product innovation, and you love turning groundbreaking ideas into impactful products, join us to shape the future of intelligent devices.</div><div>Key Responsibilities:</div><div>• Own the full lifecycle of AI-first agentic systems, from rapid ideation and requirements gathering through architecture, implementation, hands-on testing, and launch - using AI for all stages unless a human touch is essential.</div><div>• Work side-by-side with hardware, software, and product teams to embed AI capabilities that drive agentic behavior - autonomy, continuous learning, and real-time adaptability - directly onto smart devices, with human input only when necessary.</div><div>• Constantly scout, experiment with, and deploy the latest AI models and algorithms - like reinforcement learning and multi-agent systems, adopting new tech every day rather than waiting for monthly cycles.</div><div>• Push the limits by tuning AI solutions for top-tier performance, ultra-efficient power usage, and bulletproof reliability on our SoC platforms, leveraging AI-driven optimization wherever possible.</div><div>Required Qualifications:</div><div>• Showcase your hands-on artifacts in AI product development - with real-world agentic projects or a public GitHub bursting with innovation.</div><div>• Bring deep mastery in agentic AI systems, from building autonomous agents and crafting reinforcement learning solutions to deploying adaptive algorithms and cutting-edge tech like Retrieval-Augmented Generation (RAG), persistent memory operating systems, and collaborative multi-agent architectures.</div><div>• Be fluent in Python and C/C++, and have strong street cred using top-tier AI frameworks like TensorFlow and PyTorch.</div><div>• Crush complex problems, communicate like a pro, and inspire teams with your leadership mojo.</div><div>Preferred Qualifications:</div><div>• Deep chops in hardware/software co-design - think seamlessly fusing code and circuits for next-level products.</div><div>• Hands-on experience building and turbocharging embedded software for devices where every byte and milliwatt counts.</div><div>• A proven track record shipping game-changing AI and embedded products that actually make it to market.</div><div>Why Join Us?</div><div>You'll be at the epicenter of game-changing AI innovation, driving the evolution of intelligent embedded systems that are poised to transform entire industries. Join forces with brilliant engineers, tap into breakthrough technologies, and play a pivotal role in revolutionizing automotive, industrial automation, and IoT. Here, your contributions won't just move the needle - they'll redefine what's possible and shape the future of smart devices worldwide.</div>","id":"3021623b-1c31-459e-b9ff-e146b70fbaed","lists":[],"text":"Staff Engineer, Agentic Product Developer","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"<div>A global semiconductor company is on the hunt for a trailblazing Agentic Product Developer to supercharge our System-on-Chip (SoC) AI team. If you thrive in a fast-moving, startup-style environment where every day brings new challenges, trends, and opportunities, this role is for you. We're building AI-first products that redefine autonomy and adaptability; our systems are designed to learn, evolve, and make decisions independently. We're looking for someone who's passionate, self-motivated, and hungry to push boundaries - someone who's obsessed with staying ahead of the curve and rapidly adapting to the latest in AI and embedded tech. If you have a proven track record in AI, embedded systems, and product innovation, and you love turning groundbreaking ideas into impactful products, join us to shape the future of intelligent devices.</div><div>Key Responsibilities:</div><div>• Own the full lifecycle of AI-first agentic systems, from rapid ideation and requirements gathering through architecture, implementation, hands-on testing, and launch - using AI for all stages unless a human touch is essential.</div><div>• Work side-by-side with hardware, software, and product teams to embed AI capabilities that drive agentic behavior - autonomy, continuous learning, and real-time adaptability - directly onto smart devices, with human input only when necessary.</div><div>• Constantly scout, experiment with, and deploy the latest AI models and algorithms - like reinforcement learning and multi-agent systems, adopting new tech every day rather than waiting for monthly cycles.</div><div>• Push the limits by tuning AI solutions for top-tier performance, ultra-efficient power usage, and bulletproof reliability on our SoC platforms, leveraging AI-driven optimization wherever possible.</div><div>Required Qualifications:</div><div>• Showcase your hands-on artifacts in AI product development - with real-world agentic projects or a public GitHub bursting with innovation.</div><div>• Bring deep mastery in agentic AI systems, from building autonomous agents and crafting reinforcement learning solutions to deploying adaptive algorithms and cutting-edge tech like Retrieval-Augmented Generation (RAG), persistent memory operating systems, and collaborative multi-agent architectures.</div><div>• Be fluent in Python and C/C++, and have strong street cred using top-tier AI frameworks like TensorFlow and PyTorch.</div><div>• Crush complex problems, communicate like a pro, and inspire teams with your leadership mojo.</div><div>Preferred Qualifications:</div><div>• Deep chops in hardware/software co-design - think seamlessly fusing code and circuits for next-level products.</div><div>• Hands-on experience building and turbocharging embedded software for devices where every byte and milliwatt counts.</div><div>• A proven track record shipping game-changing AI and embedded products that actually make it to market.</div><div>Why Join Us?</div><div>You'll be at the epicenter of game-changing AI innovation, driving the evolution of intelligent embedded systems that are poised to transform entire industries. Join forces with brilliant engineers, tap into breakthrough technologies, and play a pivotal role in revolutionizing automotive, industrial automation, and IoT. Here, your contributions won't just move the needle - they'll redefine what's possible and shape the future of smart devices worldwide.</div>","descriptionBodyPlain":"A global semiconductor company is on the hunt for a trailblazing Agentic Product Developer to supercharge our System-on-Chip (SoC) AI team. If you thrive in a fast-moving, startup-style environment where every day brings new challenges, trends, and opportunities, this role is for you. We're building AI-first products that redefine autonomy and adaptability; our systems are designed to learn, evolve, and make decisions independently. We're looking for someone who's passionate, self-motivated, and hungry to push boundaries - someone who's obsessed with staying ahead of the curve and rapidly adapting to the latest in AI and embedded tech. If you have a proven track record in AI, embedded systems, and product innovation, and you love turning groundbreaking ideas into impactful products, join us to shape the future of intelligent devices.\nKey Responsibilities:\n• Own the full lifecycle of AI-first agentic systems, from rapid ideation and requirements gathering through architecture, implementation, hands-on testing, and launch - using AI for all stages unless a human touch is essential.\n• Work side-by-side with hardware, software, and product teams to embed AI capabilities that drive agentic behavior - autonomy, continuous learning, and real-time adaptability - directly onto smart devices, with human input only when necessary.\n• Constantly scout, experiment with, and deploy the latest AI models and algorithms - like reinforcement learning and multi-agent systems, adopting new tech every day rather than waiting for monthly cycles.\n• Push the limits by tuning AI solutions for top-tier performance, ultra-efficient power usage, and bulletproof reliability on our SoC platforms, leveraging AI-driven optimization wherever possible.\nRequired Qualifications:\n• Showcase your hands-on artifacts in AI product development - with real-world agentic projects or a public GitHub bursting with innovation.\n• Bring deep mastery in agentic AI systems, from building autonomous agents and crafting reinforcement learning solutions to deploying adaptive algorithms and cutting-edge tech like Retrieval-Augmented Generation (RAG), persistent memory operating systems, and collaborative multi-agent architectures.\n• Be fluent in Python and C/C++, and have strong street cred using top-tier AI frameworks like TensorFlow and PyTorch.\n• Crush complex problems, communicate like a pro, and inspire teams with your leadership mojo.\nPreferred Qualifications:\n• Deep chops in hardware/software co-design - think seamlessly fusing code and circuits for next-level products.\n• Hands-on experience building and turbocharging embedded software for devices where every byte and milliwatt counts.\n• A proven track record shipping game-changing AI and embedded products that actually make it to market.\nWhy Join Us?\nYou'll be at the epicenter of game-changing AI innovation, driving the evolution of intelligent embedded systems that are poised to transform entire industries. Join forces with brilliant engineers, tap into breakthrough technologies, and play a pivotal role in revolutionizing automotive, industrial automation, and IoT. Here, your contributions won't just move the needle - they'll redefine what's possible and shape the future of smart devices worldwide.\n","hostedUrl":"https://jobs.lever.co/hophr/3021623b-1c31-459e-b9ff-e146b70fbaed","applyUrl":"https://jobs.lever.co/hophr/3021623b-1c31-459e-b9ff-e146b70fbaed/apply"}]