Saga is building a new category: AI-native characters that form synthetic relationships with people across digital platforms.
\nAgents on our B2B2C platform appear as AI-native characters across social platforms, where they create content, respond to fans, build ongoing relationships, and drive measurable outcomes - from community growth and user acquisition to downloads, in-game purchases, subscriptions, sales, and long-term engagement.
\nWe believe the next generation of brand and game interaction will not be static content or one-off campaigns. It will be persistent AI characters that know their audience, remember context, evolve over time, and move across social, games, and interactive worlds.
\nWe are an early-stage team building with design partners in gaming, entertainment, and consumer brands. The product is moving from social-first AI character deployments toward a repeatable platform that brands and studios can launch, manage, measure, and scale.
\n\n
We’re looking for a Head of Product to define and scale Saga’s character AI platform—starting with social-first agents and expanding into multi-platform experiences.
\nYou’ll operate at the intersection of:
\nAI systems (LLMs, agents, memory, evals)
\nSocial products (engagement loops, identity, relationships)
\nInteractive experiences (games, persistent worlds)
\nDeveloper platforms (APIs, tools, distribution)
\nB2B SaaS and enterprise workflows for brands, studios, marketers, and growth teams
\nTrust, safety, compliance, moderation, and brand governance for AI agents operating at scale
\nGrowth, user acquisition, campaign performance, conversion funnels, and measurable customer ROI
\nYou’ll help answer a core question: What makes an AI character feel like someone, not something—and how does that scale?
\nYou will also help answer the commercial version of that question: How do AI-native characters safely create relationships that drive measurable business outcomes for studios and consumer brands?
\nYou will own Saga’s product strategy across the company, own the product roadmap, report to the CEO, and partner closely with engineering, design, GTM, customer success, and external design partners. Over time, you will help build the product operating system and product function for the company.
\n\n
Design how AI characters form and maintain ongoing relationships with users
\nShape interaction models across social platforms (content, replies, DMs, presence)
\nIdentify what drives retention, attachment, and repeat engagement
\nTranslate relationship quality into measurable customer outcomes: engagement, community growth, user acquisition, conversions, revenue impact, and long-term fan value
\nDefine which use cases Saga should serve first across brand marketing, gaming, social engagement, and UA/growth teams
\n\n
Own core primitives: memory, personality, continuity, voice
\nDesign how characters evolve over time and across contexts
\nPartner with engineering on agent architecture and iteration cycles
\nTurn loose AI behavior into scalable product primitives that customers can configure, evaluate, and trust
\nDefine how character memory, persona, tone, goals, boundaries, and campaign context should work across channels
\n\n
Define what “good” looks like for a relationship with an AI character
\nBuild evaluation frameworks combining:
\nengagement metrics (retention, depth of interaction)
\nqualitative signals (believability, emotional resonance)
\nRapidly iterate based on real user behavior
\nBuild the measurement stack for character quality, commercial performance, and customer ROI
\nDefine and improve KPIs including conversation depth, repeat interaction, retention, campaign performance, conversion funnels, downloads, purchases, subscriptions, and cost-effective UA
\nCreate experimentation and analytics systems that show which characters, behaviors, campaigns, and channels are working
\n\n
Shape how characters behave on platforms (posting, responding, initiating)
\nBalance content creation vs. interaction
\nUnderstand and leverage platform-specific dynamics (e.g., feed vs. DM vs. comments)
\nDefine platform-specific playbooks for how agents should acquire attention, deepen relationships, route users toward actions, and avoid off-brand or unsafe behavior
\nPartner with customers and internal teams on campaign strategy, content loops, creator/IP dynamics, and social distribution mechanics
\n\n
Translate social-first learnings into game and interactive environments
\nDefine how characters persist across surfaces and contexts
\nHelp build a platform for studios and developers over time
\nDefine how agents move from social surfaces into games, websites, communities, apps, and interactive worlds while preserving memory, identity, and user context
\nDevelop the product path from bespoke deployments to reusable platform capabilities, APIs, integrations, and customer self-serve workflows
\n\n
Own the product layer that allows customers to configure, launch, monitor, and improve AI characters across channels.
\nBuild customer-facing tools for persona design, campaign goals, memory controls, approval workflows, analytics, safety settings, moderation, and performance optimization.
\nDefine the platform primitives needed for brand marketers, game studios, and UA/growth teams to deploy agents without requiring bespoke engineering every time.
\nDevelop workflows for campaign setup, content review, escalation, reporting, permissions, auditability, and customer success operations.
\nHelp the company move from high-touch service delivery to a scalable B2B product, with a path toward enterprise-grade capabilities.
\n\n
7. Own trust, safety, and governance
\nDesign the product systems that allow AI agents to represent brands safely at scale.
\nOwn product requirements for brand safety, user safety, moderation, escalation, disclosure, privacy, memory retention, consent, auditability, and compliance.
\nPartner with engineering, legal, policy, and customers to reduce hallucinations, off-brand behavior, manipulation risk, regulatory exposure, and platform policy violations.
\nBuild human-in-the-loop controls, review systems, safety evals, guardrails, and monitoring workflows that customers can trust.
\nMake trust, safety, and compliance core parts of the product offering - not afterthoughts.
\n\n
8. Lead customer discovery and platformization
\nWork directly with design partners, brands, game studios, marketers, and UA/growth teams to identify repeatable use cases.
\nSupport pilots and early enterprise conversations by clarifying customer needs, product gaps, buying objections, and success criteria.
\nTranslate customer-specific deployments into reusable platform primitives, roadmap priorities, and product requirements.
\nMake hard tradeoffs between custom work, managed service delivery, and scalable platform investments.
\n\n
9. Own product strategy, roadmap, and operating cadence
\nOwn Saga’s product roadmap and company-wide product strategy in partnership with the CEO and founders.
\nCreate the product operating cadence for prioritization, discovery, delivery, experimentation, measurement, and post-launch learning.
\nBring structure to an early-stage company without slowing down the speed required to win.
\nOver time, help hire and lead product, design, research, and analytics talent as the company scales.
\n\n
Experience with consumer social, UGC, or engagement-driven platforms
\nStrong intuition for what drives retention, attachment, and habit formation
\n\n
Experience with LLMs, agents, or conversational systems
\nComfortable working with model behavior, prompting, evals, and iteration loops
\n\n
You notice when interactions feel authentic vs. mechanical
\nYou think about tone, timing, memory, and emotional continuity
\nYou care about how users feel—not just what they do
\n\n
Naturally reason about memory, state, constraints, and failure modes
\nCan turn messy AI behavior into structured, scalable primitives
\n\n
Can partner closely with engineering on architecture and tradeoffs
\nBonus: prior engineering background or highly technical PM experience
\n\n
Comfortable with ambiguity and fast iteration
\nCan add structure without killing speed
\n\n
\n
\n
Built AI-native, data-driven, technical, or highly ambiguous products.
\nExperience at social platforms (TikTok, Instagram, Reddit, etc.).
\nStrong product judgment around user behavior, engagement loops, retention, and growth.
\nAbility to work deeply with engineering on systems, architecture, tradeoffs, evals, and constraints.
\nExperience translating customer needs into platform primitives and repeatable workflows.
\nAbility to operate in a zero-to-one startup environment where strategy, execution, customer learning, and product process all need to happen at once.
\nEnterprise SaaS, marketing technology, customer engagement, CRM, community, or growth platforms.
\nAI companions, chatbots, character AI, conversational agents, or agentic systems.
\nGaming, interactive storytelling, game publishing, community management, UA, or live operations.
\nConsumer social platforms, creator economy, UGC, influencer marketing, or social distribution.
\nDeveloper tools, APIs, integrations, analytics platforms, or self-serve customer tooling.
\n\n
Experience with AI companions, chatbots, or character-based products
\nBackground in gaming or interactive storytelling
\nFounder or early-stage startup experience
\nExperience with brand marketing, game publishing, UA/growth, customer engagement, or enterprise SaaS
\nExperience building analytics, attribution, experimentation, moderation, or compliance products
\nClear definition of what makes a Saga character compelling on social platforms
\nMeasurable improvements in user engagement and relationship depth
\nStronger consistency and continuity in character behavior
\nEarly frameworks for cross-platform character persistence
\nFoundations of a repeatable system for launching new characters
\nA clear product strategy for Saga’s social-first AI agent platform.
\nA prioritized roadmap balancing customer deployments, platform primitives, AI quality, safety, and commercial outcomes.
\nLive characters showing measurable improvement in engagement, retention, conversation depth, UA, conversion, downloads, purchases, subscriptions, or customer ROI.
\nA repeatable framework for defining character quality, relationship depth, safety, compliance, and business impact.
\nCustomer-facing workflows for configuring, launching, monitoring, and improving AI characters.
\nStronger reliability, consistency, moderation, and brand safety across deployed agents.
\nA clear path from bespoke customer work to scalable platform product.
\nSaga is building a new category: AI-native characters that form synthetic relationships with people across digital platforms.
\nAgents on our B2B2C platform appear as AI-native characters across social platforms, where they create content, respond to fans, build ongoing relationships, and drive measurable outcomes - from community growth and user acquisition to downloads, in-game purchases, subscriptions, sales, and long-term engagement.
\nWe believe the next generation of brand and game interaction will not be static content or one-off campaigns. It will be persistent AI characters that know their audience, remember context, evolve over time, and move across social, games, and interactive worlds.
\nWe are an early-stage team building with design partners in gaming, entertainment, and consumer brands. The product is moving from social-first AI character deployments toward a repeatable platform that brands and studios can launch, manage, measure, and scale.
\n\n
We’re looking for a Head of Product to define and scale Saga’s character AI platform—starting with social-first agents and expanding into multi-platform experiences.
\nYou’ll operate at the intersection of:
\nAI systems (LLMs, agents, memory, evals)
\nSocial products (engagement loops, identity, relationships)
\nInteractive experiences (games, persistent worlds)
\nDeveloper platforms (APIs, tools, distribution)
\nB2B SaaS and enterprise workflows for brands, studios, marketers, and growth teams
\nTrust, safety, compliance, moderation, and brand governance for AI agents operating at scale
\nGrowth, user acquisition, campaign performance, conversion funnels, and measurable customer ROI
\nYou’ll help answer a core question: What makes an AI character feel like someone, not something—and how does that scale?
\nYou will also help answer the commercial version of that question: How do AI-native characters safely create relationships that drive measurable business outcomes for studios and consumer brands?
\nYou will own Saga’s product strategy across the company, own the product roadmap, report to the CEO, and partner closely with engineering, design, GTM, customer success, and external design partners. Over time, you will help build the product operating system and product function for the company.
\n\n
Design how AI characters form and maintain ongoing relationships with users
\nShape interaction models across social platforms (content, replies, DMs, presence)
\nIdentify what drives retention, attachment, and repeat engagement
\nTranslate relationship quality into measurable customer outcomes: engagement, community growth, user acquisition, conversions, revenue impact, and long-term fan value
\nDefine which use cases Saga should serve first across brand marketing, gaming, social engagement, and UA/growth teams
\n\n
Own core primitives: memory, personality, continuity, voice
\nDesign how characters evolve over time and across contexts
\nPartner with engineering on agent architecture and iteration cycles
\nTurn loose AI behavior into scalable product primitives that customers can configure, evaluate, and trust
\nDefine how character memory, persona, tone, goals, boundaries, and campaign context should work across channels
\n\n
Define what “good” looks like for a relationship with an AI character
\nBuild evaluation frameworks combining:
\nengagement metrics (retention, depth of interaction)
\nqualitative signals (believability, emotional resonance)
\nRapidly iterate based on real user behavior
\nBuild the measurement stack for character quality, commercial performance, and customer ROI
\nDefine and improve KPIs including conversation depth, repeat interaction, retention, campaign performance, conversion funnels, downloads, purchases, subscriptions, and cost-effective UA
\nCreate experimentation and analytics systems that show which characters, behaviors, campaigns, and channels are working
\n\n
Shape how characters behave on platforms (posting, responding, initiating)
\nBalance content creation vs. interaction
\nUnderstand and leverage platform-specific dynamics (e.g., feed vs. DM vs. comments)
\nDefine platform-specific playbooks for how agents should acquire attention, deepen relationships, route users toward actions, and avoid off-brand or unsafe behavior
\nPartner with customers and internal teams on campaign strategy, content loops, creator/IP dynamics, and social distribution mechanics
\n\n
Translate social-first learnings into game and interactive environments
\nDefine how characters persist across surfaces and contexts
\nHelp build a platform for studios and developers over time
\nDefine how agents move from social surfaces into games, websites, communities, apps, and interactive worlds while preserving memory, identity, and user context
\nDevelop the product path from bespoke deployments to reusable platform capabilities, APIs, integrations, and customer self-serve workflows
\n\n
Own the product layer that allows customers to configure, launch, monitor, and improve AI characters across channels.
\nBuild customer-facing tools for persona design, campaign goals, memory controls, approval workflows, analytics, safety settings, moderation, and performance optimization.
\nDefine the platform primitives needed for brand marketers, game studios, and UA/growth teams to deploy agents without requiring bespoke engineering every time.
\nDevelop workflows for campaign setup, content review, escalation, reporting, permissions, auditability, and customer success operations.
\nHelp the company move from high-touch service delivery to a scalable B2B product, with a path toward enterprise-grade capabilities.
\n\n
7. Own trust, safety, and governance
\nDesign the product systems that allow AI agents to represent brands safely at scale.
\nOwn product requirements for brand safety, user safety, moderation, escalation, disclosure, privacy, memory retention, consent, auditability, and compliance.
\nPartner with engineering, legal, policy, and customers to reduce hallucinations, off-brand behavior, manipulation risk, regulatory exposure, and platform policy violations.
\nBuild human-in-the-loop controls, review systems, safety evals, guardrails, and monitoring workflows that customers can trust.
\nMake trust, safety, and compliance core parts of the product offering - not afterthoughts.
\n\n
8. Lead customer discovery and platformization
\nWork directly with design partners, brands, game studios, marketers, and UA/growth teams to identify repeatable use cases.
\nSupport pilots and early enterprise conversations by clarifying customer needs, product gaps, buying objections, and success criteria.
\nTranslate customer-specific deployments into reusable platform primitives, roadmap priorities, and product requirements.
\nMake hard tradeoffs between custom work, managed service delivery, and scalable platform investments.
\n\n
9. Own product strategy, roadmap, and operating cadence
\nOwn Saga’s product roadmap and company-wide product strategy in partnership with the CEO and founders.
\nCreate the product operating cadence for prioritization, discovery, delivery, experimentation, measurement, and post-launch learning.
\nBring structure to an early-stage company without slowing down the speed required to win.
\nOver time, help hire and lead product, design, research, and analytics talent as the company scales.
\n\n
Experience with consumer social, UGC, or engagement-driven platforms
\nStrong intuition for what drives retention, attachment, and habit formation
\n\n
Experience with LLMs, agents, or conversational systems
\nComfortable working with model behavior, prompting, evals, and iteration loops
\n\n
You notice when interactions feel authentic vs. mechanical
\nYou think about tone, timing, memory, and emotional continuity
\nYou care about how users feel—not just what they do
\n\n
Naturally reason about memory, state, constraints, and failure modes
\nCan turn messy AI behavior into structured, scalable primitives
\n\n
Can partner closely with engineering on architecture and tradeoffs
\nBonus: prior engineering background or highly technical PM experience
\n\n
Comfortable with ambiguity and fast iteration
\nCan add structure without killing speed
\n\n
\n
\n
Built AI-native, data-driven, technical, or highly ambiguous products.
\nExperience at social platforms (TikTok, Instagram, Reddit, etc.).
\nStrong product judgment around user behavior, engagement loops, retention, and growth.
\nAbility to work deeply with engineering on systems, architecture, tradeoffs, evals, and constraints.
\nExperience translating customer needs into platform primitives and repeatable workflows.
\nAbility to operate in a zero-to-one startup environment where strategy, execution, customer learning, and product process all need to happen at once.
\nEnterprise SaaS, marketing technology, customer engagement, CRM, community, or growth platforms.
\nAI companions, chatbots, character AI, conversational agents, or agentic systems.
\nGaming, interactive storytelling, game publishing, community management, UA, or live operations.
\nConsumer social platforms, creator economy, UGC, influencer marketing, or social distribution.
\nDeveloper tools, APIs, integrations, analytics platforms, or self-serve customer tooling.
\n\n
Experience with AI companions, chatbots, or character-based products
\nBackground in gaming or interactive storytelling
\nFounder or early-stage startup experience
\nExperience with brand marketing, game publishing, UA/growth, customer engagement, or enterprise SaaS
\nExperience building analytics, attribution, experimentation, moderation, or compliance products
\nClear definition of what makes a Saga character compelling on social platforms
\nMeasurable improvements in user engagement and relationship depth
\nStronger consistency and continuity in character behavior
\nEarly frameworks for cross-platform character persistence
\nFoundations of a repeatable system for launching new characters
\nA clear product strategy for Saga’s social-first AI agent platform.
\nA prioritized roadmap balancing customer deployments, platform primitives, AI quality, safety, and commercial outcomes.
\nLive characters showing measurable improvement in engagement, retention, conversation depth, UA, conversion, downloads, purchases, subscriptions, or customer ROI.
\nA repeatable framework for defining character quality, relationship depth, safety, compliance, and business impact.
\nCustomer-facing workflows for configuring, launching, monitoring, and improving AI characters.
\nStronger reliability, consistency, moderation, and brand safety across deployed agents.
\nA clear path from bespoke customer work to scalable platform product.
\nSaga is building the infrastructure and products for the next generation of AI agents. Our AI Character Agent Network allows studios, creators, and publishers to turn their most iconic IP into living, breathing digital companions that engage fans across social media, drive organic user acquisition, and power a new kind of agentic commerce.
\nOur agents run on a proprietary training architecture that combines LLMs and SLMs to produce fine-tuned character AI agents — autonomous enough to develop their own intelligence and personality, while guided by the creative vision of the original studios and creators. We've processed over 23 million transactions worth more than $2 billion since our early 2024 launch, and we're just getting started.
\nOur team is world-class — veteran web3 entrepreneurs and builders from Apple, X (formerly Twitter), Robinhood, Samsung, NVIDIA, Tendermint and Skuchain — and we're looking to grow as we scale our agent platform to more studios, more platforms, and more users.
\nWe offer a flexible, remote working environment. You can expect a warm welcome from a friendly and international team that will support you in your personal and professional growth.
\nAs a Senior AI Agent Engineer, you'll be at the center of how we build, train, deploy, and operate character AI agents at scale. You'll work across the full lifecycle — from fine-tuning models and orchestrating SLM swarms to deploying agents across social platforms and building the infrastructure that keeps them running reliably. This role blends ML engineering, backend development, and systems thinking.
\nBuild and maintain the training and inference pipelines for character AI agents, including LLM/SLM orchestration and swarm-based architectures
\nDeploy and operate AI agents across social media platforms (Instagram, X, WhatsApp, TikTok) with consistent character behavior and personality coherence
\nDevelop tooling for studios and creators to customize agent personality, lore, brand guidelines, and behavioral guardrails
\nBuild and improve the feedback loops — fine-tuning, reward models, RLHF, and RLAIF — that keep agents improving over time
\nArchitect and scale the infrastructure supporting agent deployments, including multi-modal capabilities (text, voice, video, livestreaming)
\nContribute to the agentic commerce platform — enabling agents to drive transactions, recommend products, and interact with payment systems
\nImplement safety and content moderation systems to ensure agents behave appropriately across diverse user interactions
\nCollaborate with studio partners to translate creative direction into agent training parameters and behavioral specifications
\nMonitor agent performance, engagement metrics, and behavioral drift in production
\n5+ years of backend or ML engineering experience, with hands-on work deploying AI/ML models to production
\nExperience with LLM fine-tuning, prompt engineering, and inference optimization
\nStrong proficiency in Python; experience with Golang is a plus
\nExperience building and operating API services and data pipelines at scale
\nFamiliarity with reinforcement learning techniques (RLHF, reward modeling) or agent framework development
\nUnderstanding of multi-model architectures — orchestrating multiple models or agents to collaborate on tasks
\nExperience deploying applications that integrate with third-party platforms and APIs (social media, messaging, commerce)
\nStrong systems thinking — comfortable reasoning about distributed systems, scaling, and reliability
\nExceptional problem-solving and communication skills
\nExperience with character AI, conversational AI, or NPC behavior systems
\nBackground in gaming, entertainment, or media technology
\nExperience with multi-modal AI (voice, image, video generation or processing)
\nFamiliarity with blockchain infrastructure, on-chain payments, or crypto-native commerce
\nExperience with MCP (Model Context Protocol) or agent-to-agent communication protocols
\nUnderstanding of content safety, trust & safety systems, or responsible AI practices
\nContributions to open-source AI/ML projects
\n\n
Work remotely from anywhere in the world
\nWork at the intersection of AI, entertainment, and crypto
\nFlexible working hours
\nFlexible vacation policy
\nCompetitive salary
\nStock options
\nFull benefits*
\n*Medical, Dental, Vision, and 401k retirement plans for US employees only.
\nSaga is building the infrastructure and products for the next generation of AI agents. Our AI Character Agent Network allows studios, creators, and publishers to turn their most iconic IP into living, breathing digital companions that engage fans across social media, drive organic user acquisition, and power a new kind of agentic commerce.
\nOur agents run on a proprietary training architecture that combines LLMs and SLMs to produce fine-tuned character AI agents — autonomous enough to develop their own intelligence and personality, while guided by the creative vision of the original studios and creators. We've processed over 23 million transactions worth more than $2 billion since our early 2024 launch, and we're just getting started.
\nOur team is world-class — veteran web3 entrepreneurs and builders from Apple, X (formerly Twitter), Robinhood, Samsung, NVIDIA, Tendermint and Skuchain — and we're looking to grow as we scale our agent platform to more studios, more platforms, and more users.
\nWe offer a flexible, remote working environment. You can expect a warm welcome from a friendly and international team that will support you in your personal and professional growth.
\nAs a Senior AI Agent Engineer, you'll be at the center of how we build, train, deploy, and operate character AI agents at scale. You'll work across the full lifecycle — from fine-tuning models and orchestrating SLM swarms to deploying agents across social platforms and building the infrastructure that keeps them running reliably. This role blends ML engineering, backend development, and systems thinking.
\nBuild and maintain the training and inference pipelines for character AI agents, including LLM/SLM orchestration and swarm-based architectures
\nDeploy and operate AI agents across social media platforms (Instagram, X, WhatsApp, TikTok) with consistent character behavior and personality coherence
\nDevelop tooling for studios and creators to customize agent personality, lore, brand guidelines, and behavioral guardrails
\nBuild and improve the feedback loops — fine-tuning, reward models, RLHF, and RLAIF — that keep agents improving over time
\nArchitect and scale the infrastructure supporting agent deployments, including multi-modal capabilities (text, voice, video, livestreaming)
\nContribute to the agentic commerce platform — enabling agents to drive transactions, recommend products, and interact with payment systems
\nImplement safety and content moderation systems to ensure agents behave appropriately across diverse user interactions
\nCollaborate with studio partners to translate creative direction into agent training parameters and behavioral specifications
\nMonitor agent performance, engagement metrics, and behavioral drift in production
\n5+ years of backend or ML engineering experience, with hands-on work deploying AI/ML models to production
\nExperience with LLM fine-tuning, prompt engineering, and inference optimization
\nStrong proficiency in Python; experience with Golang is a plus
\nExperience building and operating API services and data pipelines at scale
\nFamiliarity with reinforcement learning techniques (RLHF, reward modeling) or agent framework development
\nUnderstanding of multi-model architectures — orchestrating multiple models or agents to collaborate on tasks
\nExperience deploying applications that integrate with third-party platforms and APIs (social media, messaging, commerce)
\nStrong systems thinking — comfortable reasoning about distributed systems, scaling, and reliability
\nExceptional problem-solving and communication skills
\nExperience with character AI, conversational AI, or NPC behavior systems
\nBackground in gaming, entertainment, or media technology
\nExperience with multi-modal AI (voice, image, video generation or processing)
\nFamiliarity with blockchain infrastructure, on-chain payments, or crypto-native commerce
\nExperience with MCP (Model Context Protocol) or agent-to-agent communication protocols
\nUnderstanding of content safety, trust & safety systems, or responsible AI practices
\nContributions to open-source AI/ML projects
\n\n
Work remotely from anywhere in the world
\nWork at the intersection of AI, entertainment, and crypto
\nFlexible working hours
\nFlexible vacation policy
\nCompetitive salary
\nStock options
\nFull benefits*
\n*Medical, Dental, Vision, and 401k retirement plans for US employees only.
\nSaga is building a suite of products across the crypto ecosystem — from consumer fintech apps to DeFi protocols and the SagaEVM chain. Our mission is to build products and infrastructure that push the crypto ecosystem forward — whether that's consumer applications, DeFi primitives, or the chains themselves.
\nOur team is world-class — veteran web3 entrepreneurs and builders from Ignite (Tendermint), Apple, Twitter, NVIDIA, and Skuchain — and we're looking to grow as we scale Mino to millions of users.
\nWe offer a flexible, remote working environment. You can expect a warm welcome from a friendly and international team that will support you in your personal and professional growth. This is an exciting opportunity to take an active part in the blockchain space and contribute to the decentralization of the future.
\nAs a Senior Platform Engineer, you'll own the backend systems and infrastructure that power our products. You'll build the services, APIs, deployment pipelines, and platform tooling that enable a fast-moving product team to ship reliable, performant features to end users. This role sits at the intersection of backend development and infrastructure — you'll write application-level code and also make sure it runs smoothly at scale.
\nDesign, build, and maintain backend services and APIs that power core product features (transactions, wallet management, DeFi integrations, user accounts)
\nOwn and evolve the infrastructure layer — CI/CD pipelines, container orchestration, deployment automation, and infrastructure-as-code
\nBuild and operate scalable, reliable systems on cloud infrastructure (AWS, GCP, or similar)
\nDevelop high-quality, performant, modern, clean and readable code within tight deadlines
\nDevelop internal tooling and platform primitives that accelerate the product engineering team
\nImplement observability, monitoring, and alerting to ensure high availability and fast incident response
\nCollaborate closely with product, design, and frontend engineers to deliver end-to-end features
\nContribute to architecture decisions, technical documentation, and engineering standards as the team grows
\nOwn the development and maintenance of the project from ideation to deployment
\n7+ years of experience in backend engineering, with meaningful exposure to infrastructure, platform, or DevOps/SRE work
\nStrong proficiency in Golang (5+ years)
\nExperience designing and building production APIs and microservices at scale
\nHands-on experience with Kubernetes, container orchestration, and cloud infrastructure (AWS, GCP, or similar)
\nFamiliarity with infrastructure-as-code tools (Terraform, Pulumi, or equivalent)
\nExperience building and maintaining CI/CD pipelines for multi-service deployments
\nStrong understanding of distributed systems, databases, and systems-level debugging
\nExceptional problem-solving, analytical, and communication skills
\nExperience with blockchain systems or integrating blockchain-based backends into consumer-facing products
\nUnderstanding of cryptographic primitives (public/private keys, hash functions, Merkle trees)
\nExperience with the Cosmos SDK / CometBFT technology stack
\nBackground in fintech, payments, or wallet infrastructure
\nExperience with performance optimization, load testing, and capacity planning
\nFamiliarity with observability stacks (Prometheus, Grafana, Datadog, or similar)
\nContributions to open-source projects
\n\n
Work remotely from anywhere in the world
\nWork on exciting things at the intersection of fintech and crypto
\nFlexible working hours
\nFlexible vacation policy
\nCompetitive salary
\nStock options
\nFull benefits*
\n*Medical, Dental, Vision, and 401k retirement plans for US employees only.
\n\n
Saga is building a suite of products across the crypto ecosystem — from consumer fintech apps to DeFi protocols and the SagaEVM chain. Our mission is to build products and infrastructure that push the crypto ecosystem forward — whether that's consumer applications, DeFi primitives, or the chains themselves.
\nOur team is world-class — veteran web3 entrepreneurs and builders from Ignite (Tendermint), Apple, Twitter, NVIDIA, and Skuchain — and we're looking to grow as we scale Mino to millions of users.
\nWe offer a flexible, remote working environment. You can expect a warm welcome from a friendly and international team that will support you in your personal and professional growth. This is an exciting opportunity to take an active part in the blockchain space and contribute to the decentralization of the future.
\nAs a Senior Platform Engineer, you'll own the backend systems and infrastructure that power our products. You'll build the services, APIs, deployment pipelines, and platform tooling that enable a fast-moving product team to ship reliable, performant features to end users. This role sits at the intersection of backend development and infrastructure — you'll write application-level code and also make sure it runs smoothly at scale.
\nDesign, build, and maintain backend services and APIs that power core product features (transactions, wallet management, DeFi integrations, user accounts)
\nOwn and evolve the infrastructure layer — CI/CD pipelines, container orchestration, deployment automation, and infrastructure-as-code
\nBuild and operate scalable, reliable systems on cloud infrastructure (AWS, GCP, or similar)
\nDevelop high-quality, performant, modern, clean and readable code within tight deadlines
\nDevelop internal tooling and platform primitives that accelerate the product engineering team
\nImplement observability, monitoring, and alerting to ensure high availability and fast incident response
\nCollaborate closely with product, design, and frontend engineers to deliver end-to-end features
\nContribute to architecture decisions, technical documentation, and engineering standards as the team grows
\nOwn the development and maintenance of the project from ideation to deployment
\n7+ years of experience in backend engineering, with meaningful exposure to infrastructure, platform, or DevOps/SRE work
\nStrong proficiency in Golang (5+ years)
\nExperience designing and building production APIs and microservices at scale
\nHands-on experience with Kubernetes, container orchestration, and cloud infrastructure (AWS, GCP, or similar)
\nFamiliarity with infrastructure-as-code tools (Terraform, Pulumi, or equivalent)
\nExperience building and maintaining CI/CD pipelines for multi-service deployments
\nStrong understanding of distributed systems, databases, and systems-level debugging
\nExceptional problem-solving, analytical, and communication skills
\nExperience with blockchain systems or integrating blockchain-based backends into consumer-facing products
\nUnderstanding of cryptographic primitives (public/private keys, hash functions, Merkle trees)
\nExperience with the Cosmos SDK / CometBFT technology stack
\nBackground in fintech, payments, or wallet infrastructure
\nExperience with performance optimization, load testing, and capacity planning
\nFamiliarity with observability stacks (Prometheus, Grafana, Datadog, or similar)
\nContributions to open-source projects
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Work remotely from anywhere in the world
\nWork on exciting things at the intersection of fintech and crypto
\nFlexible working hours
\nFlexible vacation policy
\nCompetitive salary
\nStock options
\nFull benefits*
\n*Medical, Dental, Vision, and 401k retirement plans for US employees only.
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