[{"additionalPlain":"About CCT \nCCT is the creator of Casino Insight™, the award-winning platform trusted by more than 350 casinos worldwide to automate cage operations, revenue audits, and operational analysis. Since 2012, Casino Insight has helped casinos replace manual work with streamlined workflows, improving accuracy, compliance, and profitability. \nHeadquartered in Tulsa, Oklahoma, CCT integrates seamlessly with leading casino management, hospitality, and financial systems—delivering measurable ROI and empowering teams to work smarter at every level. \n","additional":"
\n

About CCT 

\n
\n
\n

CCT is the creator of Casino Insight™, the award-winning platform trusted by more than 350 casinos worldwide to automate cage operations, revenue audits, and operational analysis. Since 2012, Casino Insight has helped casinos replace manual work with streamlined workflows, improving accuracy, compliance, and profitability. 

\n
\n
\n

Headquartered in Tulsa, Oklahoma, CCT integrates seamlessly with leading casino management, hospitality, and financial systems—delivering measurable ROI and empowering teams to work smarter at every level. 

\n
","categories":{"commitment":"Consulting","department":"Implementation & Client Solutions","location":"Tulsa","team":"Insight Cash","allLocations":["Tulsa"]},"createdAt":1777905760784,"descriptionPlain":"Precision matters—and so does adaptability.\n \nAs an Accounting Consultant at CCT, you’ll work with real financial data and collaborate closely with client finance teams — including controllers and auditors — as they adopt new systems and processes. You’ll help ensure our software accurately reflects each client’s accounting practices while supporting daily workflows, reconciliations, and reporting.\n \nWith training from experienced professionals, you’ll gain hands-on experience in a fast-moving, technology-driven environment where accuracy is essential and change is constant. This role is a great fit for students who enjoy accounting, think critically, and are comfortable adapting while helping businesses run more efficiently.\n \n","description":"
Precision matters—and so does adaptability.
\n
 
\n
As an Accounting Consultant at CCT, you’ll work with real financial data and collaborate closely with client finance teams — including controllers and auditors — as they adopt new systems and processes. You’ll help ensure our software accurately reflects each client’s accounting practices while supporting daily workflows, reconciliations, and reporting.
\n
 
\n
With training from experienced professionals, you’ll gain hands-on experience in a fast-moving, technology-driven environment where accuracy is essential and change is constant. This role is a great fit for students who enjoy accounting, think critically, and are comfortable adapting while helping businesses run more efficiently.
\n
 
","id":"99401439-9bcc-42d5-b8d6-5630ae275d7f","lists":[{"text":"Essential Duties and Responsibilities","content":"\n
  •  Work alongside our clients’ Revenue Audit Department during software installations to correctly configure our software to their unique needs.
    • \n
  • Enable our clients’ utilization of the software to perform and improve cage vault operations, count room procedures, payroll, and revenue audit departments’ daily tasks.
    • \n
  • Configure our software to correctly model the clients’ chart of accounts.
    • \n
  • Design necessary journal entries at the time of system cut over for system migration.
    • \n
  • Develops and enables department policies and procedures in accordance with gaming regulations and internal controls.
    • \n
  • Provide Support services to our clients in a post-install period.
    • \n
  • Demonstrates and provides outstanding customer and employee relations.
    • \n"},{"text":"Further Expectations of the Role","content":"\n
  • Disciplined in approach to work towards product completion and timelines.
    • \n
  • Ability and willingness to work independently.
    • \n
  • Ability to effectively formulate and communicate ideas.
    • \n
  • Must have an analytical thought process to see the design needed for software configuration to match the clients’ needs.
    • \n
  • Ability and willingness to work extended hours on a sporadic basis (during certain days on a client installation) as required.
    • \n
  • Ability and willingness to work on multiple assignments/projects in a fast-paced environment and meet deadlines.
    • \n"},{"text":"Requirements","content":"\n
  • Bachelor’s Degree in Accounting preferred, or 2+ years of relevant accounting experience.
    • \n
  • Excellent written and oral communication skills, technical writing skillsAbility to create read and understand spreadsheets. 
    • \n
  • Ability to work as part of a project team structure
    • \n
  • Ability to work on-site at client locations throughout North America
    • \n
  • Travel Expectations: ~ 50%
    • \n
  • Ability to pass stringent background investigations required
    • \n
  • Clean driving record required
    • \n
  • Must be legally authorized to work in the United States
    • \n"},{"text":"Benefits","content":"\n
  • Health, Dental, Vision Insurance
    • \n
  • Profit Sharing
    • \n
  • Discretionary Time Off
    • \n
  • 401K Matching
    • \n
  • Health Club
    • \n
  • Mobile Phone Stipend
    • \n"}],"text":"Accounting Consultant - Insight Cash","country":"US","workplaceType":"hybrid","opening":"","openingPlain":"","descriptionBody":"
    Precision matters—and so does adaptability.
    \n
     
    \n
    As an Accounting Consultant at CCT, you’ll work with real financial data and collaborate closely with client finance teams — including controllers and auditors — as they adopt new systems and processes. You’ll help ensure our software accurately reflects each client’s accounting practices while supporting daily workflows, reconciliations, and reporting.
    \n
     
    \n
    With training from experienced professionals, you’ll gain hands-on experience in a fast-moving, technology-driven environment where accuracy is essential and change is constant. This role is a great fit for students who enjoy accounting, think critically, and are comfortable adapting while helping businesses run more efficiently.
    \n
     
    ","descriptionBodyPlain":"Precision matters—and so does adaptability.\n \nAs an Accounting Consultant at CCT, you’ll work with real financial data and collaborate closely with client finance teams — including controllers and auditors — as they adopt new systems and processes. You’ll help ensure our software accurately reflects each client’s accounting practices while supporting daily workflows, reconciliations, and reporting.\n \nWith training from experienced professionals, you’ll gain hands-on experience in a fast-moving, technology-driven environment where accuracy is essential and change is constant. This role is a great fit for students who enjoy accounting, think critically, and are comfortable adapting while helping businesses run more efficiently.\n \n","hostedUrl":"https://jobs.lever.co/casino-cash-trac/99401439-9bcc-42d5-b8d6-5630ae275d7f","applyUrl":"https://jobs.lever.co/casino-cash-trac/99401439-9bcc-42d5-b8d6-5630ae275d7f/apply"},{"additionalPlain":"About CCT \nCCT is the creator of Casino Insight™, the award-winning platform trusted by more than 350 casinos worldwide to automate cage operations, revenue audits, and operational analysis. Since 2012, Casino Insight has helped casinos replace manual work with streamlined workflows, improving accuracy, compliance, and profitability. \nHeadquartered in Tulsa, Oklahoma, CCT integrates seamlessly with leading casino management, hospitality, and financial systems—delivering measurable ROI and empowering teams to work smarter at every level. \n \n","additional":"
    \n

    About CCT 

    \n
    \n
    \n

    CCT is the creator of Casino Insight™, the award-winning platform trusted by more than 350 casinos worldwide to automate cage operations, revenue audits, and operational analysis. Since 2012, Casino Insight has helped casinos replace manual work with streamlined workflows, improving accuracy, compliance, and profitability. 

    \n
    \n
    \n

    Headquartered in Tulsa, Oklahoma, CCT integrates seamlessly with leading casino management, hospitality, and financial systems—delivering measurable ROI and empowering teams to work smarter at every level. 

    \n
    \n

     

    ","categories":{"commitment":"Client Solutions","department":"Product & Technology","location":"Tulsa","team":"Technology","allLocations":["Tulsa"]},"createdAt":1775159332795,"descriptionPlain":"Summary\nThe AWS Data Engineer will be responsible for designing, implementing, and maintaining data solutions on Amazon Web Services (AWS) to support the organization's data and analytics needs. This role will focus on building scalable, secure, and efficient data pipelines, integrating data across systems, and leveraging AWS services to optimize data storage, processing, and retrieval. The AWS Data Engineer will collaborate with cross-functional teams to deliver robust and reliable data infrastructure\n","description":"
    \n

    Summary

    \n

    The AWS Data Engineer will be responsible for designing, implementing, and maintaining data solutions on Amazon Web Services (AWS) to support the organization's data and analytics needs. This role will focus on building scalable, secure, and efficient data pipelines, integrating data across systems, and leveraging AWS services to optimize data storage, processing, and retrieval. The AWS Data Engineer will collaborate with cross-functional teams to deliver robust and reliable data infrastructure

    \n
    ","id":"2e67b457-fc79-49e6-a685-66fe05ce08ea","lists":[{"text":"Essential Duties and Responsibilities:","content":"
    \n\n
  • Serve as a shared resource across product teams to provide expertise and scalable solutions for data integration, modeling, and analytics across all products.
    • \n
  • Design and implement scalable data pipelines using AWS services such as AWS Glue, AWS Data Pipeline, and Amazon Kinesis.
    • \n
  • Create and maintain all Infrastructure-as-Code (IaC) for primary product teams using tools like AWS CloudFormation or CDK.
    • \n
  • Develop and maintain data storage solutions using Amazon S3, Redshift, RDS, DynamoDB, or other AWS-managed databases.
    • \n
  • Design and develop code pipelines for our primary product application to:\n\n
  • Build application components.
    • \n
  • Run automated tests created by the QA team.
    • \n
  • Execute static code analysis.
    • \n
  • Allow or prevent commits or PR merges based on predefined quality thresholds.
    • \n\n\n
  • Deploy and manage AWS infrastructure resources as needed to support organizational and product-specific goals.
    • \n
  • Implement monitoring, logging, and centralization of application instrumentation for real-time insights and troubleshooting.
    • \n
  • Optimize ETL workflows to efficiently manage data across diverse sources and destinations.
    • \n
  • Set up and manage AWS IAM policies, roles, and security-related configurations to ensure secure access and data protection.
    • \n
  • Stay updated on AWS innovations and recommend tools or best practices to enhance the organization’s data ecosystem.
    • \n
  • Create comprehensive documentation and provide training for AWS-based data solutions, ensuring knowledge transfer and ease of use.
    • \n
  • Ensure all data processes and systems adhere to security best practices, aligning with OWASP Top 10, CWE Top 25 guidelines, and CIS AWS Foundations Benchmark.
    • \n\n
    "},{"text":"Further Expectations of the Role:","content":"
    \n\n
  • Disciplined in approach to work product completion and timelines.
    • \n
  • Must have analytical thought processes to make independent decisions.
    • \n
  • Ability and willingness to work extended hours on a sporadic basis as required.
    • \n
  • Ability and willingness to work on multiple assignments/projects in a fast-paced environment and meet tight deadlines.
    • \n
  • Ability and willingness to work independently.
    • \n
  • Ability to effectively formulate and communicate problems and ideas.
    • \n
  • Demonstrate and provide outstanding customer and employee relations at all times.
    • \n\n
    "},{"text":"Qualifications:","content":"\n
  • Minimum 5 years of applicable work experience. This level of knowledge is normally acquired through completion of a Bachelor’s Degree in a data-centric field (Computer Science, Economics, Information Systems, Data Analytics, etc.) and 3 years’ experience with demonstrated track record of successful technical leadership in the execution of large-scale data projects or equivalent combination of education and experience.
    • \n
  • Strong analytical skills and the ability to translate data into actionable insights.
    • \n
  • Excellent technical writing and oral communication skills.
    • \n
  • Experience collaborating cross-functionally with internal and external stakeholders.
    • \n
  • Travel Expectations: 0%
    • \n
  • Ability to pass stringent background investigations, required
    • \n
  • Clean driving record, required
    • \n\n
    Certified Banana Picker
    \n
    \n"}],"text":"AWS Cloud Data Engineer","country":"US","workplaceType":"remote","opening":"","openingPlain":"","descriptionBody":"
    \n

    Summary

    \n

    The AWS Data Engineer will be responsible for designing, implementing, and maintaining data solutions on Amazon Web Services (AWS) to support the organization's data and analytics needs. This role will focus on building scalable, secure, and efficient data pipelines, integrating data across systems, and leveraging AWS services to optimize data storage, processing, and retrieval. The AWS Data Engineer will collaborate with cross-functional teams to deliver robust and reliable data infrastructure

    \n
    ","descriptionBodyPlain":"Summary\nThe AWS Data Engineer will be responsible for designing, implementing, and maintaining data solutions on Amazon Web Services (AWS) to support the organization's data and analytics needs. This role will focus on building scalable, secure, and efficient data pipelines, integrating data across systems, and leveraging AWS services to optimize data storage, processing, and retrieval. The AWS Data Engineer will collaborate with cross-functional teams to deliver robust and reliable data infrastructure\n","hostedUrl":"https://jobs.lever.co/casino-cash-trac/2e67b457-fc79-49e6-a685-66fe05ce08ea","applyUrl":"https://jobs.lever.co/casino-cash-trac/2e67b457-fc79-49e6-a685-66fe05ce08ea/apply"},{"additionalPlain":"About CCT\nFounded in 2012, CCT pioneered revenue audit automation for land-based casinos, eliminating manual reconciliation processes and improving financial visibility. The company’s flagship platform, Insight Cash, provides a detailed, audit-ready view of cash transactions across the casino floor, ensuring compliance, operational efficiency, and fraud prevention. Today, CCT serves over 350 casinos across the United States, Canada and the Caribbean, helping operators streamline financial workflows and reduce audit-related labor costs.\n","additional":"
    \n

    About CCT

    \n

    Founded in 2012, CCT pioneered revenue audit automation for land-based casinos, eliminating manual reconciliation processes and improving financial visibility. The company’s flagship platform, Insight Cash, provides a detailed, audit-ready view of cash transactions across the casino floor, ensuring compliance, operational efficiency, and fraud prevention. Today, CCT serves over 350 casinos across the United States, Canada and the Caribbean, helping operators streamline financial workflows and reduce audit-related labor costs.

    \n
    ","categories":{"commitment":"Client Solutions","department":"Product & Technology","location":"Tulsa","team":"Technology","allLocations":["Tulsa"]},"createdAt":1765397121168,"descriptionPlain":"Summary \n \nWe are seeking talented individuals to join our Data Science team, developing machine learning solutions and analytics capabilities that power our Intelligence Platform for casino clients.\nThe Data Scientist role builds and maintains predictive models, anomaly detection systems, and analytical tools that help casinos optimize player development, gaming operations, and compliance monitoring. This role will work closely with data engineers, product teams, and fellow data scientists to design and deploy data-driven solutions. The Data Scientist is responsible for developing models across the full lifecycle—from exploratory analysis and feature engineering through production deployment and ongoing monitoring.\n","description":"

    Summary 

    \n
     
    \n
    We are seeking talented individuals to join our Data Science team, developing machine learning solutions and analytics capabilities that power our Intelligence Platform for casino clients.
    \n
    The Data Scientist role builds and maintains predictive models, anomaly detection systems, and analytical tools that help casinos optimize player development, gaming operations, and compliance monitoring. This role will work closely with data engineers, product teams, and fellow data scientists to design and deploy data-driven solutions. The Data Scientist is responsible for developing models across the full lifecycle—from exploratory analysis and feature engineering through production deployment and ongoing monitoring.
    ","id":"62a75a4f-0b91-4738-bb79-2df0c6434258","lists":[{"text":"Essential Duties and Responsibilities","content":"\n
  • Build and maintain statistical models, machine learning algorithms, and predictive analytics using gaming and behavioral data (segmentation, churn prediction and lifetime value models)
    • \n
  • Create anomaly detection systems for fraud and compliance monitoring
    • \n
  • Collaborate with data engineers to collect and preprocess data, and build and maintain data pipelines
    • \n
  • Design A/B testing frameworks and experiment analyses to test hypotheses and measure the effectiveness of solutions
    • \n
  • Document models and use data visualization tools to communicate insights and findings to stakeholders
    • \n"},{"text":"Requirements","content":"\n
  • BS/MS in a quantitative field or equivalent experience; years of experience commensurate with level
    • \n
  • Strong Python programming skills and proficiency in SQL for data extraction and analysis
    • \n
  • Strong foundation in statistics and experimentation: hypothesis testing, probability distributions, regression analysis, metric design, etc.
    • \n
  • Experience with machine learning frameworks (scikit-learn, pandas) and deep learning libraries (PyTorch or TensorFlow), along with fundamental ML concepts (model evaluation, cross-validation, feature engineering)
    • \n
  • Strong communication and story-telling skills, and ability to work collaboratively with cross-functional teams
    • \n
  • Intellectual curiosity and comfort with ambiguity; we're building new things, not following playbooks
    • \n\n
    Certified Banana Picker
    "},{"text":"Preferred Experience","content":"\n
  • Experience with cloud platforms, especially AWS (S3, SageMaker, Lambda, etc)
    • \n
  • Exposure to time-series analysis, survival models, or probabilistic modeling
    • \n
  • Familiarity with model lifecycle management, CI/CD, containers, model monitoring, and feature stores
    • \n
  • Exposure to causal inference concepts (A/B testing, uplift modeling, experimental vs. observational data)
    • \n
  • Experience with data visualization (matplotlib, seaborn, plotly, etc.)
    • \n"}],"text":"Data Scientist","country":"US","workplaceType":"hybrid","opening":"","openingPlain":"","descriptionBody":"

    Summary 

    \n
     
    \n
    We are seeking talented individuals to join our Data Science team, developing machine learning solutions and analytics capabilities that power our Intelligence Platform for casino clients.
    \n
    The Data Scientist role builds and maintains predictive models, anomaly detection systems, and analytical tools that help casinos optimize player development, gaming operations, and compliance monitoring. This role will work closely with data engineers, product teams, and fellow data scientists to design and deploy data-driven solutions. The Data Scientist is responsible for developing models across the full lifecycle—from exploratory analysis and feature engineering through production deployment and ongoing monitoring.
    ","descriptionBodyPlain":"Summary \n \nWe are seeking talented individuals to join our Data Science team, developing machine learning solutions and analytics capabilities that power our Intelligence Platform for casino clients.\nThe Data Scientist role builds and maintains predictive models, anomaly detection systems, and analytical tools that help casinos optimize player development, gaming operations, and compliance monitoring. This role will work closely with data engineers, product teams, and fellow data scientists to design and deploy data-driven solutions. The Data Scientist is responsible for developing models across the full lifecycle—from exploratory analysis and feature engineering through production deployment and ongoing monitoring.\n","hostedUrl":"https://jobs.lever.co/casino-cash-trac/62a75a4f-0b91-4738-bb79-2df0c6434258","applyUrl":"https://jobs.lever.co/casino-cash-trac/62a75a4f-0b91-4738-bb79-2df0c6434258/apply"},{"additionalPlain":"About CCT \nCCT is the creator of Casino Insight™, the award-winning platform trusted by more than 350 casinos worldwide to automate cage operations, revenue audits, and operational analysis. Since 2012, Casino Insight has helped casinos replace manual work with streamlined workflows, improving accuracy, compliance, and profitability. \nHeadquartered in Tulsa, Oklahoma, CCT integrates seamlessly with leading casino management, hospitality, and financial systems—delivering measurable ROI and empowering teams to work smarter at every level. \n","additional":"
    \n
    \n

    About CCT 

    \n
    \n
    \n

    CCT is the creator of Casino Insight™, the award-winning platform trusted by more than 350 casinos worldwide to automate cage operations, revenue audits, and operational analysis. Since 2012, Casino Insight has helped casinos replace manual work with streamlined workflows, improving accuracy, compliance, and profitability. 

    \n
    \n
    \n

    Headquartered in Tulsa, Oklahoma, CCT integrates seamlessly with leading casino management, hospitality, and financial systems—delivering measurable ROI and empowering teams to work smarter at every level. 

    \n
    \n
    ","categories":{"department":"Product & Technology","location":"Tulsa","team":"Technology","allLocations":["Tulsa"]},"createdAt":1778095753117,"descriptionPlain":"About the Role\nWe're hiring a full stack engineer to help us ship a next-generation analytics product for the gaming and hospitality industry. You'll join a small, senior team building a unified reporting and insights platform from the ground up, with a Beta release this summer and GA later in the year.\nYou'll work across our TypeScript stack with embeddable React components on the frontend and TypeScript Lambda backends on AWS to deliver dashboards, drill-throughs, and the operational machinery (CI/CD, observability, query performance, distribution) that turns features into a production-grade product. We use Cube.dev as our semantic layer and Embeddable for our customer-facing analytics surfaces.\nThe team is small and the surface area is wide. In the next twelve months, the work spans live-data integration, dashboard configuration, query performance and pre-aggregation, and enterprise security. You should expect to own features end-to-end, from technical design through deploy and validation.\nWe build with AI-first development practices. Claude Code is a core part of how we work, not a side experiment, and we treat investing in our shared context library, prompts, and process as part of the job. To be clear: we're a spec-driven shop, not a vibe-coding shop. AI lets us move faster on real architecture and real engineering; it doesn't replace the thinking.\n","description":"

    About the Role

    \n

    We're hiring a full stack engineer to help us ship a next-generation analytics product for the gaming and hospitality industry. You'll join a small, senior team building a unified reporting and insights platform from the ground up, with a Beta release this summer and GA later in the year.

    \n

    You'll work across our TypeScript stack with embeddable React components on the frontend and TypeScript Lambda backends on AWS to deliver dashboards, drill-throughs, and the operational machinery (CI/CD, observability, query performance, distribution) that turns features into a production-grade product. We use Cube.dev as our semantic layer and Embeddable for our customer-facing analytics surfaces.

    \n

    The team is small and the surface area is wide. In the next twelve months, the work spans live-data integration, dashboard configuration, query performance and pre-aggregation, and enterprise security. You should expect to own features end-to-end, from technical design through deploy and validation.

    \n

    We build with AI-first development practices. Claude Code is a core part of how we work, not a side experiment, and we treat investing in our shared context library, prompts, and process as part of the job. To be clear: we're a spec-driven shop, not a vibe-coding shop. AI lets us move faster on real architecture and real engineering; it doesn't replace the thinking.

    ","id":"3886b26c-3f7a-490d-b7f6-acc9eb45522f","lists":[{"text":"What you'll do","content":"
    \n
    "},{"text":"Requirements","content":"
    \n
    "},{"text":"How we work","content":"
    \n
    "}],"text":"Full Stack Software Engineer - Insight Analytics","country":"US","workplaceType":"remote","opening":"","openingPlain":"","descriptionBody":"

    About the Role

    \n

    We're hiring a full stack engineer to help us ship a next-generation analytics product for the gaming and hospitality industry. You'll join a small, senior team building a unified reporting and insights platform from the ground up, with a Beta release this summer and GA later in the year.

    \n

    You'll work across our TypeScript stack with embeddable React components on the frontend and TypeScript Lambda backends on AWS to deliver dashboards, drill-throughs, and the operational machinery (CI/CD, observability, query performance, distribution) that turns features into a production-grade product. We use Cube.dev as our semantic layer and Embeddable for our customer-facing analytics surfaces.

    \n

    The team is small and the surface area is wide. In the next twelve months, the work spans live-data integration, dashboard configuration, query performance and pre-aggregation, and enterprise security. You should expect to own features end-to-end, from technical design through deploy and validation.

    \n

    We build with AI-first development practices. Claude Code is a core part of how we work, not a side experiment, and we treat investing in our shared context library, prompts, and process as part of the job. To be clear: we're a spec-driven shop, not a vibe-coding shop. AI lets us move faster on real architecture and real engineering; it doesn't replace the thinking.

    ","descriptionBodyPlain":"About the Role\nWe're hiring a full stack engineer to help us ship a next-generation analytics product for the gaming and hospitality industry. You'll join a small, senior team building a unified reporting and insights platform from the ground up, with a Beta release this summer and GA later in the year.\nYou'll work across our TypeScript stack with embeddable React components on the frontend and TypeScript Lambda backends on AWS to deliver dashboards, drill-throughs, and the operational machinery (CI/CD, observability, query performance, distribution) that turns features into a production-grade product. We use Cube.dev as our semantic layer and Embeddable for our customer-facing analytics surfaces.\nThe team is small and the surface area is wide. In the next twelve months, the work spans live-data integration, dashboard configuration, query performance and pre-aggregation, and enterprise security. You should expect to own features end-to-end, from technical design through deploy and validation.\nWe build with AI-first development practices. Claude Code is a core part of how we work, not a side experiment, and we treat investing in our shared context library, prompts, and process as part of the job. To be clear: we're a spec-driven shop, not a vibe-coding shop. AI lets us move faster on real architecture and real engineering; it doesn't replace the thinking.\n","hostedUrl":"https://jobs.lever.co/casino-cash-trac/3886b26c-3f7a-490d-b7f6-acc9eb45522f","applyUrl":"https://jobs.lever.co/casino-cash-trac/3886b26c-3f7a-490d-b7f6-acc9eb45522f/apply"},{"additionalPlain":"About CCT \nCCT is the creator of Casino Insight™, the award-winning platform trusted by more than 350 casinos worldwide to automate cage operations, revenue audits, and operational analysis. Since 2012, Casino Insight has helped casinos replace manual work with streamlined workflows, improving accuracy, compliance, and profitability. \nHeadquartered in Tulsa, Oklahoma, CCT integrates seamlessly with leading casino management, hospitality, and financial systems—delivering measurable ROI and empowering teams to work smarter at every level. \n","additional":"
    \n

    About CCT 

    \n
    \n
    \n

    CCT is the creator of Casino Insight™, the award-winning platform trusted by more than 350 casinos worldwide to automate cage operations, revenue audits, and operational analysis. Since 2012, Casino Insight has helped casinos replace manual work with streamlined workflows, improving accuracy, compliance, and profitability. 

    \n
    \n
    \n

    Headquartered in Tulsa, Oklahoma, CCT integrates seamlessly with leading casino management, hospitality, and financial systems—delivering measurable ROI and empowering teams to work smarter at every level. 

    \n
    ","categories":{"department":"Product & Technology","location":"Tulsa","team":"Technology","allLocations":["Tulsa"]},"createdAt":1772563498668,"descriptionPlain":"Summary\n \nWe’re looking for a Machine Learning Engineer to design, deploy, and operate production ML systems on Amazon Web Services. You’ll own the full lifecycle in a real-world, high-stakes environment — from training and packaging through deployment, monitoring, retraining, security, and cost control.\n \nThis role sits at the intersection of ML engineering and MLOps and is core to CCT’s analytics strategy. You’ll partner closely with data scientists, engineers, and product stakeholders to turn complex time-series and transactional data into reliable, observable, and cost-effective ML services that our customers can trust.\n \nYou’ll thrive here if you naturally dig into why models behave the way they do, enjoy tracing issues to their root cause, and like collaborating across disciplines to ship robust systems that are built to last.\n","description":"

    Summary

    \n
     
    \n
    We’re looking for a Machine Learning Engineer to design, deploy, and operate production ML systems on Amazon Web Services. You’ll own the full lifecycle in a real-world, high-stakes environment — from training and packaging through deployment, monitoring, retraining, security, and cost control.
    \n
     
    \n
    This role sits at the intersection of ML engineering and MLOps and is core to CCT’s analytics strategy. You’ll partner closely with data scientists, engineers, and product stakeholders to turn complex time-series and transactional data into reliable, observable, and cost-effective ML services that our customers can trust.
    \n
     
    \n
    You’ll thrive here if you naturally dig into why models behave the way they do, enjoy tracing issues to their root cause, and like collaborating across disciplines to ship robust systems that are built to last.
    ","id":"7f5e4860-423a-47f4-bd64-c61dd8f36603","lists":[{"text":"What You'll Do","content":"\n
  • Build and maintain reproducible model training workflows on AWS (SageMaker, S3, Glue, etc.), making retraining, rollback, and experimentation routine rather than heroic.
    • \n
  • Deploy and operate real-time and batch inference services with full CI/CD pipelines, versioning, and safe rollout strategies (canary, shadow, A/B) so changes are deliberate and observable.
    • \n
  • Instrument production models for performance, data drift, latency, and errors — and automate retraining triggers when models drift out of tolerance.
    • \n
  • Maintain model lineage, auditability, and traceability to meet the compliance, governance, and reporting needs of the regulated gaming industry.
    • \n
  • Enforce least-privilege IAM, encryption, and secure data access patterns across the entire ML platform.
    • \n
  • Treat cost as a first-class engineering metric — right-size infrastructure, balance batch vs. real-time workloads, and continually reduce platform spend without sacrificing reliability.
    • \n
  • Collaborate with engineers, data scientists, and product teams to translate business problems into ML solutions, communicate tradeoffs clearly, and iterate based on feedback.
    • \n
  • Continuously explore new AWS services, ML frameworks, and deployment patterns to improve reliability, observability, and developer velocity on the ML platform.
    • \n"},{"text":"Requirements","content":"\n
  • 3+ years of experience in machine learning engineering, MLOps, or a closely related discipline.
    • \n
  • Hands-on experience with AWS ML and data services — SageMaker (training, endpoints, pipelines), S3, Lambda, Step Functions, CloudWatch, MWAA (Apache Airflow).
    • \n
  • Experience working with time series data, including feature engineering, seasonality handling, and temporal train/test splits.
    • \n
  • Strong Python skills and familiarity with common ML frameworks (scikit-learn, PyTorch, XGBoost, or equivalent).
    • \n
  • Experience building and maintaining CI/CD pipelines for ML systems.
    • \n
  • Demonstrated ability to monitor and debug production ML systems — latency, drift, errors, and data quality — and drive issues to root cause.
    • \n
  • Comfort with SQL and working with structured data at scale.
    • \n
  • Able to work collaboratively across teams, assume positive intent, and communicate clearly with both technical and non-technical stakeholders.
    • \n
  • Track record of self-directed learning and technical growth in areas like AWS, ML frameworks, or deployment patterns.
    • \n\n
    Certified Banana Picker 
    \n
     
    "},{"text":"Nice to Have","content":"\n
  • Experience in a regulated industry (gaming, finance, healthcare) where auditability, explainability, and compliance are first-class concerns.
    • \n
  • Familiarity with feature stores, model registries, or ML metadata tools (e.g., MLflow, SageMaker Model Registry).
    • \n
  • Experience with infrastructure-as-code (Terraform, CDK, or CloudFormation).
    • \n
  • Exposure to data drift detection libraries or custom drift monitoring implementations.
    • \n"},{"text":"Success Looks Like","content":"\n
  • Production models run reliably with clear, measurable business impact for casino operators.
    • \n
  • Failures are observable, recoverable, and explainable — with logs, metrics, and traces that tell the full story.
    • \n
  • ML systems scale predictably with usage and data volume, without runaway cost.
    • \n
  • The ML platform becomes a trusted, well-understood part of CCT’s product ecosystem — for both internal teams and external customers.
    • \n"}],"text":"Machine Learning Engineer (AWS)","country":"US","workplaceType":"remote","opening":"","openingPlain":"","descriptionBody":"

    Summary

    \n
     
    \n
    We’re looking for a Machine Learning Engineer to design, deploy, and operate production ML systems on Amazon Web Services. You’ll own the full lifecycle in a real-world, high-stakes environment — from training and packaging through deployment, monitoring, retraining, security, and cost control.
    \n
     
    \n
    This role sits at the intersection of ML engineering and MLOps and is core to CCT’s analytics strategy. You’ll partner closely with data scientists, engineers, and product stakeholders to turn complex time-series and transactional data into reliable, observable, and cost-effective ML services that our customers can trust.
    \n
     
    \n
    You’ll thrive here if you naturally dig into why models behave the way they do, enjoy tracing issues to their root cause, and like collaborating across disciplines to ship robust systems that are built to last.
    ","descriptionBodyPlain":"Summary\n \nWe’re looking for a Machine Learning Engineer to design, deploy, and operate production ML systems on Amazon Web Services. You’ll own the full lifecycle in a real-world, high-stakes environment — from training and packaging through deployment, monitoring, retraining, security, and cost control.\n \nThis role sits at the intersection of ML engineering and MLOps and is core to CCT’s analytics strategy. You’ll partner closely with data scientists, engineers, and product stakeholders to turn complex time-series and transactional data into reliable, observable, and cost-effective ML services that our customers can trust.\n \nYou’ll thrive here if you naturally dig into why models behave the way they do, enjoy tracing issues to their root cause, and like collaborating across disciplines to ship robust systems that are built to last.\n","hostedUrl":"https://jobs.lever.co/casino-cash-trac/7f5e4860-423a-47f4-bd64-c61dd8f36603","applyUrl":"https://jobs.lever.co/casino-cash-trac/7f5e4860-423a-47f4-bd64-c61dd8f36603/apply"},{"additionalPlain":"","additional":"
    \n
    \n

    About CCT 

    \n
    \n
    \n

    CCT is the creator of Casino Insight™, the award-winning platform trusted by more than 350 casinos worldwide to automate cage operations, revenue audits, and operational analysis. Since 2012, Casino Insight has helped casinos replace manual work with streamlined workflows, improving accuracy, compliance, and profitability. 

    \n
    \n
    \n

    Headquartered in Tulsa, Oklahoma, CCT integrates seamlessly with leading casino management, hospitality, and financial systems—delivering measurable ROI and empowering teams to work smarter at every level. 

    \n
    \n
    ","categories":{"commitment":"Client Solutions","department":"Product & Technology","location":"Tulsa","team":"Technology","allLocations":["Tulsa"]},"createdAt":1781707391242,"descriptionPlain":"","description":"

    Summary

    \n
    At CCT, we build software that changes how casinos operate. More than 350 properties worldwide run on our Casino Insight platform, trading manual processes for intelligent automation and turning mountains of data into clarity. We're evolving that platform, and the product thinking behind Insight Cash is where you come in.
    \n

    As Product Manager for Insight Cash, you'll own the strategy, roadmap, and day-to-day execution of our core cage management and cash operations software, used by cage, vault, audit, and accounting teams across our entire client portfolio.
    \n

    This role is built for someone who has been a product manager in a startup or early-growth-stage environment. You've worn many hats, built process from scratch, and driven outcomes without waiting for perfect infrastructure. You move easily between strategy and hands-on execution. We're also building AI into how we work and what we ship, and you'll engage with that effort directly, whether through prior experience or the drive to develop that fluency quickly.
    ","id":"59066c71-706e-4f27-b95c-bf0ac8cbed8a","lists":[{"text":"What You'll Do","content":"\n
  • Own the Insight Cash roadmap, balancing customer commitments, platform migration, and longer-term strategic investments
    • \n
  • Maintain a clear prioritization framework and surface tradeoffs so stakeholders understand how decisions get made
    • \n
  • Translate business goals and customer needs into a product vision the team can rally around
    • \n
  • Lead ongoing discovery through customer conversations, interviews, field visits, and feedback from Client Solutions and Support
    • \n
  • Become the internal authority on casino cage and cash operations workflows
    • \n
  • Partner with Engineering and QA to define, refine, and deliver features, writing clear requirements and maintaining a healthy backlog
    • \n
  • Drive release planning across Product, Engineering, QA, and Client Solutions
    • \n
  • Evaluate where AI capabilities can create real value in Insight Cash, and champion AI tooling across the development lifecycle
    • \n"},{"text":"What Makes You a Great Fit","content":"\n
  • 4 to 7 years of product management, including meaningful time at a startup or early-growth-stage company with broad scope and high ownership
    • \n
  • A track record of owning a product end to end, from discovery through delivery and go-to-market
    • \n
  • Strong discovery and research skills: interviews, synthesis, and translating insight into prioritized decisions
    • \n
  • Close partnership with engineering teams, writing crisp requirements and navigating tradeoffs with clarity and respect
    • \n
  • Excellent written and verbal communication, from requirements to customer-facing release notes
    • \n
  • Self-directed and comfortable with ambiguity
    • \n
  • A genuine orientation toward AI as both a product capability and a way of working
    • \n\n
     
    \n
    \n

    Nice to have:

    \n\n
  • Building or scaling a PM function in an early-stage environment
    • \n
  • Responsible AI practices (accuracy, auditability, trust) in regulated settings
    • \n
  • B2B SaaS in operational or back-office workflows
    • \n
  • Supporting a desktop-to-web migration
    • \n
  • Background in, or curiosity about, the gaming and casino industry
    • \n\n
    "}],"text":"Product Manager, Insight Cash","country":"US","workplaceType":"remote","opening":"","openingPlain":"","descriptionBody":"

    Summary

    \n
    At CCT, we build software that changes how casinos operate. More than 350 properties worldwide run on our Casino Insight platform, trading manual processes for intelligent automation and turning mountains of data into clarity. We're evolving that platform, and the product thinking behind Insight Cash is where you come in.
    \n

    As Product Manager for Insight Cash, you'll own the strategy, roadmap, and day-to-day execution of our core cage management and cash operations software, used by cage, vault, audit, and accounting teams across our entire client portfolio.
    \n

    This role is built for someone who has been a product manager in a startup or early-growth-stage environment. You've worn many hats, built process from scratch, and driven outcomes without waiting for perfect infrastructure. You move easily between strategy and hands-on execution. We're also building AI into how we work and what we ship, and you'll engage with that effort directly, whether through prior experience or the drive to develop that fluency quickly.
    ","descriptionBodyPlain":"","hostedUrl":"https://jobs.lever.co/casino-cash-trac/59066c71-706e-4f27-b95c-bf0ac8cbed8a","applyUrl":"https://jobs.lever.co/casino-cash-trac/59066c71-706e-4f27-b95c-bf0ac8cbed8a/apply"}]