StackAI

Build and own enterprise access layer including authentication, authorization, and access control. | 4+ years backend experience with identity protocols (OIDC, OAuth2, SAML) and Python/FastAPI proficiency required. | About Stack AI Stack AI is a no-code platform for designing, testing, and deploying AI workflows powered by large language models. Our visual, drag-and-drop interface lets teams connect their data to AI models and ship production applications — from chatbots to document-processing pipelines to database Q&A tools — without writing code. The role Every large enterprise that adopts Stack AI needs to control precisely who can do what, on whose behalf, across their whole organization. We're hiring a Senior Software Engineer, Identity & Access to build the access layer that makes that possible: the authentication, authorization, and access control that let our largest and most regulated customers adopt Stack AI with confidence. This is foundational work for enterprise adoption. Strong identity is what lets a large organization roll Stack AI out across many teams, and lets their administrators manage all of it cleanly. You'll own that layer across the platform, from sign-on to fine-grained permissions. What you'll do Own enterprise sign-on. Deliver SSO across OIDC and SAML so customers onboard with their own identity provider. Own authorization and RBAC. Build role-based access control with fine-grained, query-time enforcement across the product. Own provisioning and lifecycle. Deliver SCIM provisioning and directory sync so user and group management stays in step with the customer's directory. Own delegated and machine identity. Build token exchange, on-behalf-of flows, service accounts, and domain-wide delegation so agents and services act with scoped authority. Own access governance. Build the entitlements, session and token management, and controls that keep access clean and auditable at scale. What we're looking for 4+ years building backend systems, with significant time spent on identity, authentication, or authorization. Real depth in OIDC, OAuth2, SAML, token exchange, and multi-tenant RBAC. You've built or owned enterprise SSO and identity systems, with a strong grasp of identity-provider architecture and enterprise auth patterns. Strong in Python and modern backend frameworks (FastAPI or similar). You care about clean, well-architected access control and the experience of the administrators who manage it. Identity is broad. If you're strong on most of this and excited to grow into the rest, we'd like to hear from you, even if you don't check every box. Bonus points SCIM and directory sync at scale. Authorization frameworks and policy engines (OPA, Cedar, or Zanzibar-style systems). Entitlements, usage-based metering, or billing systems. Multi-tenant SaaS at scale. Startup or growth-stage experience. Why Stack AI You'll join a lean, high-impact team and own the access layer that lets the largest enterprises adopt Stack AI. Your work ships fast and is felt across the whole product. Stack AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Design and evolve public APIs and SDKs, build observability and analytics tools for autonomous agent transparency. | 4+ years backend and public API experience with Python, OpenAPI, distributed tracing, and familiarity with TypeScript/Node.js. | About Stack AI Stack AI is a no-code platform for designing, testing, and deploying AI workflows powered by large language models. Our visual, drag-and-drop interface lets teams connect their data to AI models and ship production applications — from chatbots to document-processing pipelines to database Q&A tools — without writing code. The role Every developer who builds on Stack AI works through your API, and every customer who wants to understand what their agents are doing relies on the analytics you build. We're hiring a Platform Engineer, APIs & Observability to own both: the public API the ecosystem builds on, and the observability and analytics that make a platform full of autonomous agents understandable. This is high-leverage, highly visible work. The API is the contract every integration depends on, and observability for multi-step, multi-model agent runs is a hard, interesting problem. You'll own the surfaces developers and customers use every day. What you'll do Help build the public API as a product. Design, version, and evolve the API and SDKs that Stack AI customers build on, and keep the developer experience first-class. Set our API standards. Help define the conventions, versioning and deprecation policy, and review bar that keep every API across the platform consistent and predictable. Make agent runs observable. Build tracing and instrumentation that let anyone follow a single agent run end to end, across its models, tools, and sub-agents. Turn usage into analytics customers act on. Build the reporting that shows customers how their agents perform, what they cost, and where to improve. Own the audit trail. Build the audit logging and team-scoped views enterprises rely on. What we're looking for 4+ years building backend services and public APIs in production. Strong API craft: RESTful design, SDK ergonomics, and rate limiting. You speak fluent OpenAPI — experience defining API standards and governance: versioning, deprecation, and consistency across services. Fluency with observability and analytics: distributed tracing, metrics, and turning raw signals into data products people rely on. Strong in Python and modern backend frameworks (FastAPI or similar), comfortable across TypeScript/Node.js on the product surfaces. Platform engineering is broad. If you're strong on most of this and excited to grow into the rest, we'd like to hear from you, even if you don't check every box. Bonus points OpenTelemetry or distributed tracing at scale. Analytics datastores (ClickHouse, Druid, or similar). Designing developer-facing SDKs used by external customers. AI or LLM platform experience: token and cost accounting, agent-run tracing. Startup or growth-stage experience. Why Stack AI You'll join a lean, high-impact team and own the surfaces developers and customers touch every day. Your work ships fast and is felt across the whole product. Stack AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Design and maintain public APIs and observability tools for AI platform users. | 4+ years backend and API experience, strong API design, observability, Python and TypeScript skills. | About Stack AI Stack AI is a no-code platform for designing, testing, and deploying AI workflows powered by large language models. Our visual, drag-and-drop interface lets teams connect their data to AI models and ship production applications — from chatbots to document-processing pipelines to database Q&A tools — without writing code. The role Every developer who builds on Stack AI works through your API, and every customer who wants to understand what their agents are doing relies on the analytics you build. We're hiring a Platform Engineer, APIs & Observability to own both: the public API the ecosystem builds on, and the observability and analytics that make a platform full of autonomous agents understandable. This is high-leverage, highly visible work. The API is the contract every integration depends on, and observability for multi-step, multi-model agent runs is a hard, interesting problem. You'll own the surfaces developers and customers use every day. What you'll do • Help build the public API as a product. Design, version, and evolve the API and SDKs that Stack AI customers build on, and keep the developer experience first-class. • Set our API standards. Help define the conventions, versioning and deprecation policy, and review bar that keep every API across the platform consistent and predictable. • Make agent runs observable. Build tracing and instrumentation that let anyone follow a single agent run end to end, across its models, tools, and sub-agents. • Turn usage into analytics customers act on. Build the reporting that shows customers how their agents perform, what they cost, and where to improve. • Own the audit trail. Build the audit logging and team-scoped views enterprises rely on. What we're looking for • 4+ years building backend services and public APIs in production. • Strong API craft: RESTful design, SDK ergonomics, and rate limiting. • You speak fluent OpenAPI — experience defining API standards and governance: versioning, deprecation, and consistency across services. • Fluency with observability and analytics: distributed tracing, metrics, and turning raw signals into data products people rely on. • Strong in Python and modern backend frameworks (FastAPI or similar), comfortable across TypeScript/Node.js on the product surfaces. Platform engineering is broad. If you're strong on most of this and excited to grow into the rest, we'd like to hear from you, even if you don't check every box. Bonus points • OpenTelemetry or distributed tracing at scale. • Analytics datastores (ClickHouse, Druid, or similar). • Designing developer-facing SDKs used by external customers. • AI or LLM platform experience: token and cost accounting, agent-run tracing. • Startup or growth-stage experience. • Why Stack AI You'll join a lean, high-impact team and own the surfaces developers and customers touch every day. Your work ships fast and is felt across the whole product. Stack AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Own and build durable execution engine systems focusing on runtime, scheduling, and parallelization for AI agents. | 5+ years building production backend systems with expertise in distributed systems, Python, FastAPI, and Postgres. | About Stack AI Stack AI is a no-code platform for designing, testing, and deploying AI workflows powered by large language models. Our visual, drag-and-drop interface lets teams connect their data to AI models and ship production applications — from chatbots to document-processing pipelines to database Q&A tools — without writing code. The role Enterprises run real work on AI agents, and at Stack AI that work runs on a single engine. Some agents finish in a second. Others run for days, fan out into dozens of sub-agents, pause, resume, and recover from failures without losing a step. We're hiring a Senior Software Engineer, Engine & Distributed Systems to own that engine: the durable runtime at the core of the platform that has to be correct every time, at any scale. This is deep systems work at the heart of the product. When the engine is solid, agents simply run — and getting it there is one of the more interesting distributed-systems problems in AI today. You'll own it end to end, from the execution model to how it behaves in production. What you'll do Own the execution engine. The runtime, scheduling, and sub-agent parallelization that run every agent on the platform. Make long-running work durable. Build checkpointing, resumption, and recovery so agents survive failures and restarts and pick up exactly where they left off. Shape the execution model. Decide how work is scheduled, queued, and moved from synchronous to asynchronous, so the platform stays correct and responsive as load grows. Engineer for scale and reliability. Hold the engine to strict health targets for worker freshness, deploy safety, and drain time, and keep latency and throughput strong as volume grows. Keep the engine open to the ecosystem. Make it straightforward to bring new agent harnesses, orchestration frameworks, and model capabilities into the runtime. What we're looking for 5+ years building backend systems in production, with real depth in distributed systems. Hands-on experience with durable execution or workflow orchestration (Temporal, Cadence, Airflow, or equivalent), with a way of thinking rooted in idempotency, state machines, and failure recovery. Strong command of concurrency, queueing, retries, and fault tolerance under load. Strong in Python and modern backend frameworks (FastAPI or similar), with sound database fundamentals (Postgres or similar). You're drawn to the correctness problems that everything else quietly depends on. Distributed systems is broad. If you're strong on most of this and excited to grow into the rest, we'd like to hear from you, even if you don't check every box. Bonus points Operating Temporal at scale. Event-driven architectures and message queues. Experience with PydanticAI, LangGraph, or similar. AI or agent runtimes: tool-calling, sub-agent orchestration, streaming. Performance and cost optimization of high-throughput backends. Startup or growth-stage experience. Why Stack AI You'll join a lean, high-impact team and own the engine that every customer's agents run on. Your work ships fast and is felt across the whole product. Stack AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Define and own the product roadmap, collaborate with engineering and design teams, drive product development from discovery to launch, and ensure product-market fit for AI workflow platform. | 5+ years product management experience in B2B SaaS or AI/ML, strong technical literacy, user research expertise, and excellent cross-team communication skills. | About StackAI StackAI is a no-code AI workflow platform that empowers companies to build, deploy, and scale AI-powered workflows without needing deep ML expertise. With thousands of users and rapidly growing enterprise adoption, our mission is to democratize access to LLMs and put AI into the hands of every business operator, not just developers. Backed by Y Combinator and leading investors, we’re building the foundational platform for the AI-driven future of work. The Role We are looking for a Senior Product Manager to drive the next phase of StackAI’s growth. As one of our first product hires, you’ll have a foundational impact on how we build, prioritize, and scale our product. You will work closely with the founders, engineering, design, sales, and customers to define the roadmap, shape product strategy, and ensure that we’re delivering best-in-class AI workflows that solve real problems for businesses. This is a high-ownership role in a fast-moving startup where you’ll need to wear many hats, from user research to product strategy to launch execution. You’ll be responsible for turning our mission into an actionable product roadmap and delivering features that delight users while supporting rapid enterprise adoption. Responsibilities In this role, you will… Define and own the product roadmap, prioritizing initiatives that drive adoption, retention, and revenue growth. Partner closely with engineering and design to ship high-quality features on time, balancing speed with scalability. Translate customer insights and market trends into product requirements and long-term strategy. Drive end-to-end product development, from discovery and design to launch, measurement, and iteration. Collaborate with sales and customer success to understand enterprise needs and ensure product-market fit. Establish clear metrics and KPIs for product performance, communicating progress and insights to the leadership team. Advocate for a user-centric approach while balancing technical feasibility and business priorities. Help shape StackAI’s product culture and processes as we scale. Required Skills and Qualifications You will be a great fit if you have… 5+ years of product management experience, ideally in B2B SaaS, developer tools, or AI/ML platforms. A proven track record of shipping impactful products in fast-paced environments. Strong technical literacy, able to work with engineers on APIs, workflows, and integrations without needing to code. Deep experience in user research, product discovery, and data-driven decision making. Excellent communication and collaboration skills, with the ability to influence across teams. Strong organizational and prioritization skills, balancing short-term needs with long-term vision. Preferred Qualifications You will be an exceptional fit if you also have… Experience working in early-stage startups where you’ve built product processes from scratch. Familiarity with AI models, LLM applications, or workflow automation platforms. Background in technical products (APIs, infrastructure, or developer tools). Passion for AI and a belief in its potential to transform the future of work.

| About StackAI StackAI is a no-code AI workflow platform that empowers companies to build, deploy, and scale AI-powered workflows easily. With thousands of users and rapidly growing enterprise adoption, our mission is to democratize access to LLMs and bring AI into the hands of every business operator, not just developers. Backed by Y Combinator and leading investors, we’re building the foundational platform for the AI-driven future of work. The Role We are looking for a Sales Engineer to partner with our sales team and customers to unlock the power of StackAI’s platform. This role sits at the intersection of technical expertise and customer-facing execution—you’ll be the go-to resource for demonstrating value, building workflows, and ensuring prospects and customers succeed with StackAI. The ideal candidate has startup experience, thrives in fast-paced environments, and has solved these challenges before: helping customers understand emerging technology, separating good use cases from bad ones, and accelerating adoption through hands-on engagement. What You’ll Do Conduct demos of StackAI for prospective customers, tailoring to their use cases. Design and build workflows inside StackAI to show customers how their problems can be solved with our platform. Evaluate customer use cases alongside the sales team, identifying high-value opportunities versus low-fit scenarios. Answer technical questions during the sales cycle, ensuring customers have confidence in our platform. Run bootcamps and workshops for customers and prospects to deepen adoption and understanding. Develop reusable workflow templates that can be shared across customer teams and back into our product library. Serve as a bridge between sales, product, and engineering , sharing customer insights that inform roadmap decisions. What We’re Looking For 2+ years of experience in a Sales Engineer, Solutions Engineer, or similar technical customer-facing role. Proven success at a high-growth SaaS startup ; experience in AI or developer tools is a strong plus. Strong technical acumen with the ability to quickly learn and apply new technologies. Excellent communication and storytelling skills—you can simplify complex concepts for any audience. Comfortable building in front of customers and running live demos/workshops. A problem-solver who enjoys collaborating with sales, product, and customers alike. We prefer candidates in New York City , but we are open to exceptional remote talent. Why Join Us Shape the customer-facing technical foundation of a YC-backed Series A AI company. Work directly with founders and early team members on high-impact customer engagements. Have massive ownership in building repeatable playbooks for growth and customer success. Competitive compensation, meaningful equity, and the opportunity to define the future of AI-powered workflows.

| About StackAI StackAI is a no-code AI workflow platform that empowers companies to build, deploy, and scale AI-powered workflows easily. With thousands of users and rapidly growing enterprise adoption, our mission is to democratize access to LLMs and bring AI into the hands of every business operator, not just developers. Backed by Y Combinator and leading investors, we’re building the foundational platform for the AI-driven future of work. The Role We are looking for a Head of Growth to accelerate StackAI’s go-to-market engine across marketing, product-led growth, and sales enablement. This is a critical leadership role where you will define and execute growth strategies to scale customer acquisition, conversion, and expansion. You will collaborate closely with our founders, product, and sales teams to turn StackAI into the category-defining platform for AI workflows. We want someone who thrives at the intersection of B2B SaaS growth strategy and hands-on execution. Experience in AI or developer tools is a plus, but strong fundamentals in SaaS growth are most important. What You’ll Do Own and scale growth strategy across acquisition, activation, retention, and monetization. Drive GTM experiments across channels (paid, organic, partnerships, content, community, events) to uncover scalable growth levers. Build and lead the growth team , hiring across demand generation, marketing operations, and lifecycle marketing. Partner with product and engineering to design growth loops (free-to-paid conversion, viral workflows, usage expansion). Collaborate with sales leadership on pipeline growth, lead qualification, and campaign ROI. Define and track KPIs (CAC, LTV, funnel conversion, churn) and implement data-driven optimizations. Represent StackAI externally at events, panels, and thought leadership opportunities. What We’re Looking For 5+ years experience in growth, marketing, or go-to-market strategy at high-growth B2B SaaS companies. Proven track record of scaling revenue and user adoption through structured growth playbooks. Strong analytical and data-driven mindset; comfortable with funnel metrics, experimentation, and attribution. Experience collaborating with product-led growth models or self-serve SaaS. Bonus: Experience in AI, dev tools, or productivity platforms. Excellent storytelling and communication skills, you can inspire internal teams and external audiences alike. Preference for candidates based in the Bay Area or New York, though we are open to exceptional remote talent. Why Join Us Be part of a YC-backed Series A startup building the foundational layer for enterprise AI adoption. Work directly with MIT PhD founders and early team members to shape company strategy and culture. Have massive ownership over growth strategy and execution. Competitive compensation, meaningful equity, and the chance to define the future of AI-powered workflows.