StackAI (by Asana) 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. An Asana Company, we're building the foundational platform for the AI-driven future of work
Every large enterprise that adopts StackAI 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 StackAI with confidence.
This is foundational work for enterprise adoption. Strong identity is what lets a large organization roll StackAI 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.
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.
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.
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.
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.
StackAI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
","descriptionPlain":"ABOUT THE COMPANY\n\nStackAI (by Asana) 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. An Asana Company, we're building the foundational platform for the AI-driven future of work\n\n \n\n\nTHE ROLE\n\nEvery large enterprise that adopts StackAI 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 StackAI with confidence.\n\nThis is foundational work for enterprise adoption. Strong identity is what lets a large organization roll StackAI 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.\n\n \n\n\nWHAT YOU'LL DO\n\n - Own enterprise sign-on. Deliver SSO across OIDC and SAML so customers onboard with their own identity provider.\n\n - Own authorization and RBAC. Build role-based access control with fine-grained, query-time enforcement across the product.\n\n - Own provisioning and lifecycle. Deliver SCIM provisioning and directory sync so user and group management stays in step with the customer's directory.\n\n - 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.\n\n - Own access governance. Build the entitlements, session and token management, and controls that keep access clean and auditable at scale.\n \n \n\n\nWHAT WE'RE LOOKING FOR\n\n - 4+ years building backend systems, with significant time spent on identity, authentication, or authorization.\n\n - Real depth in OIDC, OAuth2, SAML, token exchange, and multi-tenant RBAC.\n\n - You've built or owned enterprise SSO and identity systems, with a strong grasp of identity-provider architecture and enterprise auth patterns.\n\n - Strong in Python and modern backend frameworks (FastAPI or similar).\n\n - You care about clean, well-architected access control and the experience of the administrators who manage it.\n \n \n\nIdentity 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.\n\n \n\n\nBONUS POINTS\n\n - SCIM and directory sync at scale.\n\n - Authorization frameworks and policy engines (OPA, Cedar, or Zanzibar-style systems).\n\n - Entitlements, usage-based metering, or billing systems.\n\n - Multi-tenant SaaS at scale.\n\n - Startup or growth-stage experience.\n \n \n\n\nWHY STACKAI\n\nYou'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.\n\nStackAI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.","compensation":{"compensationTierSummary":"PLN 430K – PLN 440K • Offers Equity","scrapeableCompensationSalarySummary":"PLN 430K - PLN 440K","compensationTiers":[{"id":"dc8150b9-526a-42fa-a322-d17d0c3d7eee","tierSummary":"PLN 430K – PLN 440K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"5cf30452-5c56-414b-b686-947e15c533c6","summary":"PLN 430K – PLN 440K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"PLN","minValue":430000,"maxValue":440000},{"id":"179f956f-58ff-40de-802d-8bb263c88163","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"PLN","minValue":430000,"maxValue":440000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"34c86ee2-789d-4eee-b433-df65fab23d72","title":"Forward Deployed Engineer (Spain)","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Spain","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-06-16T21:47:27.027+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"Madrid","addressCountry":"Spain","addressLocality":"Salamanca"}},"jobUrl":"https://jobs.ashbyhq.com/stack-ai/34c86ee2-789d-4eee-b433-df65fab23d72","applyUrl":"https://jobs.ashbyhq.com/stack-ai/34c86ee2-789d-4eee-b433-df65fab23d72/application","descriptionHtml":"We’re seeking an experienced engineer to deploy enterprise-grade AI solutions, focusing on Retrieval-Augmented Generation (RAG) pipelines and large language model (LLM) workflows. This role is vital to expanding our reach with Fortune 500 and enterprise clients across various industries, as well as with clients headquartered in or operating in Spanish-speaking nations.
Role Overview:
You will integrate large language models into enterprise operations, working with strategic accounts to align solutions and technical approaches. Using the Stack AI platform, you'll also partner with clients to co-design solutions for emerging needs.
Responsibilities:
Optimize and support solutions within strategic accounts on the Stack AI platform.
Map requirements and relationships within target enterprise customer offices.
Pursue opportunities and provide feedback on our go-to-market strategy.
Contribute directly to the StackAI codebase, translating customer feedback into platform improvements across the Python backend and React/Next.js TypeScript frontend.
Forecast and close high-value opportunities.
Write proposals, pitch stakeholders, and lead product demos.
Evangelize Stack AI at enterprise events.
Requirements:
3+ years of experience in data science, software development, or generative AI.
Fluent in Spanish (professional/business level)
Experience with strategic enterprise accounts, preferably Fortune 500.
Expertise in AI/ML, RAG pipelines, LLM workflows, and enterprise data analytics.
Eagerness to build a business in a fast-paced environment.
Ability to travel 10-20% of the time.
Stack AI is a no-code drag-and-drop tool to quickly design, test, and deploy AI workflows that leverage Large Language Models (LLMs), such as ChatGPT, to automate any business process.
Our core value is to make it extremely easy to build arbitrarily complex AI pipelines using a visual interface that allows you to connect different data sources with different AI models.
Our customers use Stack AI to build applications such as:
Chatbots and Assistants: AI agents that interact with users, answer questions, and complete tasks, using your internal data and APIs.
Document Processing: apps to answer questions, summarize, and extract insights from any document, no matter how long.
Answer Questions on Databases: connect GPT-like models to databases (such as Notion, Airtable, or Postgres) and ask questions about them.
Content Creation: generate tags, summaries, and transfer styles or formats between documents and data sources.
StackAI (by Asana) 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. An Asana Company, we're building the foundational platform for the AI-driven future of work
Every developer who builds on StackAI 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.
Help build the public API as a product. Design, version, and evolve the API and SDKs that StackAI 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.
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.
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.
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.
StackAI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
","descriptionPlain":"ABOUT THE COMPANY\n\nStackAI (by Asana) 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. An Asana Company, we're building the foundational platform for the AI-driven future of work\n\n \n\n\nTHE ROLE\n\nEvery developer who builds on StackAI 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.\n\nThis 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.\n\n \n\n\nWHAT YOU'LL DO\n\n - Help build the public API as a product. Design, version, and evolve the API and SDKs that StackAI customers build on, and keep the developer experience first-class.\n\n - 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.\n\n - 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.\n\n - Turn usage into analytics customers act on. Build the reporting that shows customers how their agents perform, what they cost, and where to improve.\n\n - Own the audit trail. Build the audit logging and team-scoped views enterprises rely on.\n \n \n\n\nWHAT WE'RE LOOKING FOR\n\n - 4+ years building backend services and public APIs in production.\n\n - Strong API craft: RESTful design, SDK ergonomics, and rate limiting.\n\n - You speak fluent OpenAPI — experience defining API standards and governance: versioning, deprecation, and consistency across services.\n\n - Fluency with observability and analytics: distributed tracing, metrics, and turning raw signals into data products people rely on.\n\n - Strong in Python and modern backend frameworks (FastAPI or similar), comfortable across TypeScript/Node.js on the product surfaces.\n\nPlatform 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.\n\n \n\n\nBONUS POINTS\n\n - OpenTelemetry or distributed tracing at scale.\n\n - Analytics datastores (ClickHouse, Druid, or similar).\n\n - Designing developer-facing SDKs used by external customers.\n\n - AI or LLM platform experience: token and cost accounting, agent-run tracing.\n\n - Startup or growth-stage experience.\n\n\nWHY STACKAI\n\nYou'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.\n\nStackAI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.","compensation":{"compensationTierSummary":"PLN 340K – PLN 350K • Offers Equity","scrapeableCompensationSalarySummary":"PLN 340K - PLN 350K","compensationTiers":[{"id":"508872c5-c730-4262-8175-c70fd8a7dcd5","tierSummary":"PLN 340K – PLN 350K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"ba471ce9-8fff-4ac4-9d94-12d8d9a48184","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"d09c95d0-faf0-4cb6-aa58-1bc1faf0eb69","summary":"PLN 340K – PLN 350K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"PLN","minValue":340000,"maxValue":350000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"PLN","minValue":340000,"maxValue":350000}]}},{"id":"7e49c7b0-93b7-4cd8-928c-9eb17f109e7c","title":"Digital Marketing Manager","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"NYC Office","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-06-23T17:55:34.975+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/stack-ai/7e49c7b0-93b7-4cd8-928c-9eb17f109e7c","applyUrl":"https://jobs.ashbyhq.com/stack-ai/7e49c7b0-93b7-4cd8-928c-9eb17f109e7c/application","descriptionHtml":"StackAI is the enterprise AI platform trusted by Fortune 500 companies, banks, healthcare providers, and government agencies to build, deploy, and scale AI-powered workflows, without requiring machine learning expertise.
Our no-code platform helps organizations automate document processing, knowledge retrieval, customer support, compliance operations, and other mission-critical workflows. Today, more than 200 enterprise customers use StackAI to run AI at scale across healthcare, financial services, legal, logistics, defense, and beyond.
Backed by Y Combinator and Google, StackAI recently joined forces with Asana to help define the future of AI-native work. Together, we're building the operating system for how enterprises deploy and manage AI agents across their organizations.
We're a small, highly ambitious team that moves fast, solves hard problems, and cares deeply about building exceptional products. If you're excited about shaping the future of AI while having outsized ownership and impact, we'd love to meet you.
We're looking for a Digital Marketing Manager to build and scale StackAI's growth engine.
This is not a traditional digital marketing role. We're looking for someone who understands that search, content, websites, paid acquisition, and AI-powered discovery are no longer separate functions, they're part of one integrated system that drives enterprise demand.
You will own how prospects discover StackAI across Google, AI assistants, and our website. You'll develop our SEO strategy, lead our approach to Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO), build high-performing demand generation programs, and continuously improve our website's ability to convert visitors into pipeline.
You'll work directly with our founders and partner closely with product, sales, and design to accelerate growth.
This role is ideal for someone who enjoys building from first principles, experimenting rapidly, and using AI to amplify execution.
Develop and execute StackAI's SEO strategy across technical SEO, content strategy, site architecture, authority building, and conversion optimization
Identify high-value search opportunities across enterprise AI, automation, knowledge management, customer support, compliance, and adjacent categories
Drive organic traffic growth, keyword rankings, domain authority, and organic pipeline generation
Partner cross-functionally to create content that ranks, converts, and establishes StackAI as a category leader
Continuously improve site structure, internal linking, metadata, schema markup, and technical performance
Define StackAI's strategy for visibility across ChatGPT, Claude, Gemini, Perplexity, and emerging AI search platforms
Conduct ongoing LLM visibility audits to understand how StackAI appears in AI-generated responses relative to competitors
Optimize content, structured data, citations, and digital authority signals that influence AI-generated recommendations
Partner with PR and content marketing to strengthen StackAI's presence across authoritative sources leveraged by AI systems
Develop repeatable frameworks for measuring and improving AI search visibility
Design and execute integrated demand generation campaigns across paid media, email, content, events, and social channels
Build account-based and persona-driven programs targeting senior enterprise buyers in the IT space
Launch and evaluate rapid growth experiments across channels, audiences, and messaging
Use performance insights to scale successful programs and sunset ineffective ones
Treat the StackAI website as a revenue-generating asset
Drive conversion rate optimization through landing page development, experimentation, and A/B testing
Improve visitor-to-pipeline conversion across product pages, content experiences, and campaign destinations
Own website analytics, attribution, tracking, and reporting infrastructure
Manage and evolve paid programs across Google, LinkedIn, and other relevant channels
Leverage AI-native advertising capabilities to improve targeting, creative performance, and conversion efficiency
Monitor campaign performance, budget allocation, attribution, and ROI
Continuously test messaging, audiences, creative concepts, and landing page experiences
5+ years of experience in digital marketing, growth marketing, demand generation, or SEO-focused marketing roles within B2B SaaS
Demonstrated success growing organic traffic, search visibility, and pipeline through SEO initiatives
Strong understanding of technical SEO, content strategy, keyword research, site architecture, and search analytics
Experience developing and executing integrated demand generation campaigns
Hands-on experience with website optimization, conversion rate optimization, and marketing analytics
Familiarity with AEO, GEO, AI search optimization, or a strong interest in how AI is transforming search and discovery
Experience with HubSpot, Salesforce, Google Analytics, Search Console, and modern marketing technology stacks
Strong analytical skills and comfort using data to drive decision-making
Excellent communication and copywriting skills, particularly for technical and enterprise audiences
Experience using AI tools and automation to increase productivity and scale execution
Entrepreneurial mindset with the ability to operate independently and thrive in ambiguity
Experience marketing AI, developer, infrastructure, workflow automation, or enterprise software products
Deep expertise in SEO and content-led growth
Experience building account-based marketing or account-based experience programs
Familiarity with healthcare, financial services, legal, government, or other regulated industries
Experience designing AI-powered marketing workflows and automation systems
Help shape the future of enterprise AI at a pivotal moment in our growth
Direct access to leadership and meaningful ownership from day one
Build foundational growth systems that will influence the trajectory of the company
Join a small, talented team that moves quickly and values great ideas over hierarchy
Competitive compensation, meaningful equity, comprehensive medical, dental, and vision coverage, daily meal allowance, and commuter benefits
Hybrid work environment based in San Francisco
StackAI (by Asana) 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. An Asana Company, we're building the foundational platform for the AI-driven future of work
Enterprises run real work on AI agents, and at StackAI 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.
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.
5+ years building backend systems in production, with real depth in distributed systems.
Hands-on experience with durable execution or workflow orchestration (Temporal, Cadence, 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.
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.
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.
StackAI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
","descriptionPlain":"ABOUT THE COMPANY\n\nStackAI (by Asana) 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. An Asana Company, we're building the foundational platform for the AI-driven future of work\n\n\n\n\nTHE ROLE\n\nEnterprises run real work on AI agents, and at StackAI 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.\n\nThis 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.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own the execution engine. The runtime, scheduling, and sub-agent parallelization that run every agent on the platform.\n\n - Make long-running work durable. Build checkpointing, resumption, and recovery so agents survive failures and restarts and pick up exactly where they left off.\n\n - 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.\n\n - 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.\n\n - Keep the engine open to the ecosystem. Make it straightforward to bring new agent harnesses, orchestration frameworks, and model capabilities into the runtime.\n \n \n\n\nWHAT WE'RE LOOKING FOR\n\n - 5+ years building backend systems in production, with real depth in distributed systems.\n\n - Hands-on experience with durable execution or workflow orchestration (Temporal, Cadence, or equivalent), with a way of thinking rooted in idempotency, state machines, and failure recovery.\n\n - Strong command of concurrency, queueing, retries, and fault tolerance under load.\n\n - Strong in Python and modern backend frameworks (FastAPI or similar), with sound database fundamentals (Postgres or similar).\n\n - You're drawn to the correctness problems that everything else quietly depends on.\n\nDistributed 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.\n\n\n\n\nBONUS POINTS\n\n - Operating Temporal at scale.\n\n - Event-driven architectures and message queues.\n\n - Experience with PydanticAI, LangGraph, or similar.\n\n - AI or agent runtimes: tool-calling, sub-agent orchestration, streaming.\n\n - Performance and cost optimization of high-throughput backends.\n\n - Startup or growth-stage experience.\n \n \n\n\nWHY STACKAI\n\nYou'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.\n\nStackAI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.","compensation":{"compensationTierSummary":"$202K – $230K • Offers Equity","scrapeableCompensationSalarySummary":"$202K - $230K","compensationTiers":[{"id":"06226c3b-3fb5-427a-b40e-231592e8db1f","tierSummary":"$202K – $230K • Offers Equity","title":"SF / NYC","additionalInformation":null,"components":[{"id":"d1c197d0-aeae-4328-885b-7f1526b5529f","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"31523a68-dbde-4bbb-81e2-8029c8b350c7","summary":"$202K – $230K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":202000,"maxValue":230000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":202000,"maxValue":230000}]}},{"id":"9cf7747c-ad29-444e-890d-d3d6abc0ff53","title":"Senior Software Engineer, Identity & Access","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"SF Office","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"NYC Office","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-06-19T04:30:10.921+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/stack-ai/9cf7747c-ad29-444e-890d-d3d6abc0ff53","applyUrl":"https://jobs.ashbyhq.com/stack-ai/9cf7747c-ad29-444e-890d-d3d6abc0ff53/application","descriptionHtml":"StackAI (by Asana) 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. An Asana Company, we're building the foundational platform for the AI-driven future of work
Every large enterprise that adopts StackAI 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 StackAI with confidence.
This is foundational work for enterprise adoption. Strong identity is what lets a large organization roll StackAI 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.
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.
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.
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.
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.
StackAI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
","descriptionPlain":"ABOUT THE COMPANY\n\nStackAI (by Asana) 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. An Asana Company, we're building the foundational platform for the AI-driven future of work\n\n\n\n\nTHE ROLE\n\nEvery large enterprise that adopts StackAI 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 StackAI with confidence.\n\nThis is foundational work for enterprise adoption. Strong identity is what lets a large organization roll StackAI 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.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own enterprise sign-on. Deliver SSO across OIDC and SAML so customers onboard with their own identity provider.\n\n - Own authorization and RBAC. Build role-based access control with fine-grained, query-time enforcement across the product.\n\n - Own provisioning and lifecycle. Deliver SCIM provisioning and directory sync so user and group management stays in step with the customer's directory.\n\n - 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.\n\n - Own access governance. Build the entitlements, session and token management, and controls that keep access clean and auditable at scale.\n \n \n\n\nWHAT WE'RE LOOKING FOR\n\n - 4+ years building backend systems, with significant time spent on identity, authentication, or authorization.\n\n - Real depth in OIDC, OAuth2, SAML, token exchange, and multi-tenant RBAC.\n\n - You've built or owned enterprise SSO and identity systems, with a strong grasp of identity-provider architecture and enterprise auth patterns.\n\n - Strong in Python and modern backend frameworks (FastAPI or similar).\n\n - You care about clean, well-architected access control and the experience of the administrators who manage it.\n \n \n\nIdentity 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.\n\n\n\n\nBONUS POINTS\n\n - SCIM and directory sync at scale.\n\n - Authorization frameworks and policy engines (OPA, Cedar, or Zanzibar-style systems).\n\n - Entitlements, usage-based metering, or billing systems.\n\n - Multi-tenant SaaS at scale.\n\n - Startup or growth-stage experience.\n \n \n\n\nWHY STACKAI\n\nYou'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.\n\nStackAI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.","compensation":{"compensationTierSummary":"$202K – $230K • Offers Equity","scrapeableCompensationSalarySummary":"$202K - $230K","compensationTiers":[{"id":"8d6aaa86-0f4e-4329-964d-50f40a1c2853","tierSummary":"$202K – $230K • Offers Equity","title":"SF / NYC","additionalInformation":null,"components":[{"id":"97db80a2-1bc5-4705-a6b4-912d9fffd681","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"288836e6-2fb1-420e-abf7-2fe82962999b","summary":"$202K – $230K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":202000,"maxValue":230000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":202000,"maxValue":230000}]}},{"id":"9d769730-9329-4392-916f-0c1bc84be713","title":"Product Security Engineer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"SF Office","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"Spain","address":{"postalAddress":{"addressRegion":"Madrid","addressCountry":"Spain","addressLocality":"Salamanca"}}},{"location":"NYC Office","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}}},{"location":"United States","address":{"postalAddress":{"addressCountry":"","addressLocality":"United States"}}}],"publishedAt":"2026-06-09T21:38:01.676+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/stack-ai/9d769730-9329-4392-916f-0c1bc84be713","applyUrl":"https://jobs.ashbyhq.com/stack-ai/9d769730-9329-4392-916f-0c1bc84be713/application","descriptionHtml":"StackAI (by Asana) 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. An Asana Company, we're building the foundational platform for the AI-driven future of work
At StackAI, security is how we earn the trust of the enterprises building AI assistants on our platform. We're hiring a hands-on (Senior) Product Security Engineer to design, build, and harden the secure architecture at the core of the product, working as a technical partner to our Core engineering lead.
This is a hands-on engineering role. You'll write production code and own the security-critical systems the whole platform depends on: encryption and key management, customer data protection, and how security is built into the way every team ships.
If you want deep ownership of these systems and the chance to harden and scale them as the platform grows, we'd love to meet you.
Own encryption and signing. Take ownership of our KMS, key management, BYOK, envelope encryption, and signing pipeline across both cloud and on-prem deployments—operating, hardening, and evolving them as the platform scales.
Protect the most sensitive customer data. Extend our PHI/PII scrubbing and strengthen the data-protection foundations that regulated enterprises already rely on.
Secure the storage layer. Own encryption at rest and tenant isolation.
Keep security the default in how we ship. Maintain and expand the secure-by-default templates and reference implementations embedded in our SDLC—the ones engineers actually want to adopt.
Threat-model the platform. Lead threat modeling on the seams between systems (the execution engine, connector trust boundaries, and multi-tenant isolation), using modern, AI-assisted threat-modeling tooling.
Raise the bar on tooling. Push our scanning further on coverage, signal, and CI enforcement, so critical findings never reach production.
Be the technical point of contact for security standards. Translate audit, compliance, and incident-response requirements into real implementation in our codebase.
4+ years building security-critical systems in production, with significant time spent implementing, not only reviewing or assessing.
Practical depth in cryptography and key management: encryption, KMS, secrets handling, and signing in real systems.
Secure architecture judgment: you can design and reason about secure systems and hold your own as a technical peer with senior engineers.
Multi-tenant SaaS isolation experience, including the data-isolation guarantees regulated customers require.
Strong secure-coding skills in our stack: Python on the backend, TypeScript/Node.js on the product surfaces.
Comfortable wiring security checks and gates into CI/CD so security is enforced automatically in the pipeline.
Security 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
Cloud and API security fundamentals on GCP, Azure, or AWS.
Securing on-prem, self-hosted, or air-gapped deployments.
Experience in regulated domains (healthcare/PHI, finance, etc.).
Familiarity with AI/LLM platform security: agent execution, connector trust boundaries, prompt and tool-call risk.
Startup or growth-stage experience.
StackAI is the enterprise AI platform trusted by Fortune 500 companies, banks, healthcare providers, and government agencies to build, deploy, and scale AI-powered workflows, without requiring machine learning expertise.
Our no-code platform helps organizations automate document processing, knowledge retrieval, customer support, compliance operations, and other mission-critical workflows. Today, more than 200 enterprise customers use StackAI to run AI at scale across healthcare, financial services, legal, logistics, defense, and beyond.
Backed by Y Combinator and Google, StackAI recently joined forces with Asana to help define the future of AI-native work. Together, we're building the operating system for how enterprises deploy and manage AI agents across their organizations.
We're a small, highly ambitious team that moves fast, solves hard problems, and cares deeply about building exceptional products. If you're excited about sha
We are looking for a Product Marketing Manager to accelerate StackAI’s go-to-market engine via product positioning, competitive intelligence, and sales enablement. This is a critical leadership role where you will define and execute growth strategies to scale product launches, market research, customer understanding and use cases, and more. 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.
Competitive intelligence:
Track competitors' positioning, pricing, and product moves
Build and maintain sales battlecards and internal briefings
Write external-facing comparison/breakdown content (blog posts, decks, etc.)
Analyst relations:
Build and maintain relationships with industry analysts
Manage briefings, advisories, and inquiries
Represent the company in relevant reports and rankings
Use cases and customer knowledge:
Partner with Sales and Customer Success to identify and document high-value use cases and customer stories
Scale that knowledge into reusable assets across web, video, social, and interactive clickable demos
Keep use case content current as the product and customer base evolve
Launches:
Plan and execute cross-functional launches (large and small)
Coordinate web, social, content, press, and sales readiness for each launch
Ensure consistent messaging and timing across all launch workstreams
Content and campaigns:
Partner with content teams on campaigns and web copy
Ensure messaging accuracy and consistency across assets
Tie campaign and content work back to real customer use cases
• 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.
• Be part of a YC-backed company 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.
","descriptionPlain":"ABOUT STACKAI\n\nStackAI is the enterprise AI platform trusted by Fortune 500 companies, banks, healthcare providers, and government agencies to build, deploy, and scale AI-powered workflows, without requiring machine learning expertise.\n\nOur no-code platform helps organizations automate document processing, knowledge retrieval, customer support, compliance operations, and other mission-critical workflows. Today, more than 200 enterprise customers use StackAI to run AI at scale across healthcare, financial services, legal, logistics, defense, and beyond.\n\nBacked by Y Combinator and Google, StackAI recently joined forces with Asana to help define the future of AI-native work. Together, we're building the operating system for how enterprises deploy and manage AI agents across their organizations.\n\nWe're a small, highly ambitious team that moves fast, solves hard problems, and cares deeply about building exceptional products. If you're excited about sha\n\n\n\n\nTHE ROLE\n\nWe are looking for a Product Marketing Manager to accelerate StackAI’s go-to-market engine via product positioning, competitive intelligence, and sales enablement. This is a critical leadership role where you will define and execute growth strategies to scale product launches, market research, customer understanding and use cases, and more. You will collaborate closely with our founders, product, and sales teams to turn StackAI into the category-defining platform for AI workflows.\n\n\n\nWe 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.\n\n\n\n\nWHAT YOU’LL DO\n\nCompetitive intelligence:\n\n - Track competitors' positioning, pricing, and product moves\n\n - Build and maintain sales battlecards and internal briefings\n\n - Write external-facing comparison/breakdown content (blog posts, decks, etc.)\n\nAnalyst relations:\n\n - Build and maintain relationships with industry analysts\n\n - Manage briefings, advisories, and inquiries\n\n - Represent the company in relevant reports and rankings\n\nUse cases and customer knowledge:\n\n - Partner with Sales and Customer Success to identify and document high-value use cases and customer stories\n\n - Scale that knowledge into reusable assets across web, video, social, and interactive clickable demos\n\n - Keep use case content current as the product and customer base evolve\n\nLaunches:\n\n - Plan and execute cross-functional launches (large and small)\n\n - Coordinate web, social, content, press, and sales readiness for each launch\n\n - Ensure consistent messaging and timing across all launch workstreams\n\nContent and campaigns:\n\n - Partner with content teams on campaigns and web copy\n\n - Ensure messaging accuracy and consistency across assets\n\n - Tie campaign and content work back to real customer use cases\n \n\n\nWHAT WE’RE LOOKING FOR\n\n• 5+ years experience in growth, marketing, or go-to-market strategy at high-growth B2B SaaS companies.\n\n• Proven track record of scaling revenue and user adoption through structured growth playbooks.\n\n• Strong analytical and data-driven mindset; comfortable with funnel metrics, experimentation, and attribution.\n\n• Experience collaborating with product-led growth models or self-serve SaaS.\n\n• Bonus: Experience in AI, dev tools, or productivity platforms.\n\n• Excellent storytelling and communication skills, you can inspire internal teams and external audiences alike.\n\n• Preference for candidates based in the Bay Area or New York, though we are open to exceptional remote talent.\n\n\n\n\nWHY JOIN US\n\n• Be part of a YC-backed company building the foundational layer for enterprise AI adoption.\n\n• Work directly with MIT PhD founders and early team members to shape company strategy and culture.\n\n• Have massive ownership over growth strategy and execution.\n\n• Competitive compensation, meaningful equity, and the chance to define the future of AI-powered workflows.","compensation":{"compensationTierSummary":"$170K – $210K • Offers Equity","scrapeableCompensationSalarySummary":"$170K - $210K","compensationTiers":[{"id":"cbb0d654-af29-4999-a5eb-41d79fcfa7ab","tierSummary":"$170K – $210K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"72c55b3c-8f2a-441f-8b29-01513393b268","summary":"$170K – $210K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":170000,"maxValue":210000},{"id":"542f7bc3-a91a-4e3f-ba87-7971b3598f40","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":170000,"maxValue":210000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"a6cce4bc-1fc6-4c69-82cf-6593a37c31c6","title":"Senior Software Engineer, Engine & Distributed Systems","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Poland - Warsaw Office","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-06-29T15:19:55.676+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"01-211","addressRegion":"Warsaw","streetAddress":"Ul. Marcina Kasprzaka 6, Warsaw, 01-211","addressCountry":"Poland","addressLocality":"Warsaw"}},"jobUrl":"https://jobs.ashbyhq.com/stack-ai/a6cce4bc-1fc6-4c69-82cf-6593a37c31c6","applyUrl":"https://jobs.ashbyhq.com/stack-ai/a6cce4bc-1fc6-4c69-82cf-6593a37c31c6/application","descriptionHtml":"StackAI (by Asana) 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. An Asana Company, we're building the foundational platform for the AI-driven future of work
Enterprises run real work on AI agents, and at StackAI 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.
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.
5+ years building backend systems in production, with real depth in distributed systems.
Hands-on experience with durable execution or workflow orchestration (Temporal, Cadence, 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.
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.
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.
","descriptionPlain":"ABOUT THE COMPANY\n\nStackAI (by Asana) 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. An Asana Company, we're building the foundational platform for the AI-driven future of work\n\n \n\n\nTHE ROLE\n\nEnterprises run real work on AI agents, and at StackAI 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.\n\nThis 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.\n\n \n\n\nWHAT YOU'LL DO\n\n - Own the execution engine. The runtime, scheduling, and sub-agent parallelization that run every agent on the platform.\n\n - Make long-running work durable. Build checkpointing, resumption, and recovery so agents survive failures and restarts and pick up exactly where they left off.\n\n - 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.\n\n - 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.\n\n - Keep the engine open to the ecosystem. Make it straightforward to bring new agent harnesses, orchestration frameworks, and model capabilities into the runtime.\n \n \n\n\nWHAT WE'RE LOOKING FOR\n\n - 5+ years building backend systems in production, with real depth in distributed systems.\n\n - Hands-on experience with durable execution or workflow orchestration (Temporal, Cadence, or equivalent), with a way of thinking rooted in idempotency, state machines, and failure recovery.\n\n - Strong command of concurrency, queueing, retries, and fault tolerance under load.\n\n - Strong in Python and modern backend frameworks (FastAPI or similar), with sound database fundamentals (Postgres or similar).\n\n - You're drawn to the correctness problems that everything else quietly depends on.\n\nDistributed 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.\n\n \n\n\nBONUS POINTS\n\n - Operating Temporal at scale.\n\n - Event-driven architectures and message queues.\n\n - Experience with PydanticAI, LangGraph, or similar.\n\n - AI or agent runtimes: tool-calling, sub-agent orchestration, streaming.\n\n - Performance and cost optimization of high-throughput backends.\n\n - Startup or growth-stage experience.\n \n \n\n\nWHY STACKAI\n\nYou'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.\n\nStack AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.","compensation":{"compensationTierSummary":"PLN 430K – PLN 440K • Offers Equity","scrapeableCompensationSalarySummary":"PLN 430K - PLN 440K","compensationTiers":[{"id":"0aa8b586-e882-4e18-9d14-9d62461a0abd","tierSummary":"PLN 430K – PLN 440K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"70d033fa-66a0-4ee1-839d-f9bd963ed50e","summary":"PLN 430K – PLN 440K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"PLN","minValue":430000,"maxValue":440000},{"id":"498bb1da-9d71-4443-a7bf-a4a1588351a0","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"PLN","minValue":430000,"maxValue":440000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"c4cc37f5-65a8-4df9-aef0-c150c352effc","title":"Platform Engineer, APIs & Observability","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"SF Office","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"NYC Office","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-06-19T04:27:01.097+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/stack-ai/c4cc37f5-65a8-4df9-aef0-c150c352effc","applyUrl":"https://jobs.ashbyhq.com/stack-ai/c4cc37f5-65a8-4df9-aef0-c150c352effc/application","descriptionHtml":"StackAI (by Asana) 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. An Asana Company, we're building the foundational platform for the AI-driven future of work
Every developer who builds on StackAI 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.
Help build the public API as a product. Design, version, and evolve the API and SDKs that StackAI 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.
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.
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.
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.
StackAI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
","descriptionPlain":"ABOUT THE COMPANY\n\nStackAI (by Asana) 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. An Asana Company, we're building the foundational platform for the AI-driven future of work\n\n\n\n\nTHE ROLE\n\nEvery developer who builds on StackAI 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.\n\nThis 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.\n\n\n\n\nWHAT YOU'LL DO\n\n - Help build the public API as a product. Design, version, and evolve the API and SDKs that StackAI customers build on, and keep the developer experience first-class.\n\n - 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.\n\n - 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.\n\n - Turn usage into analytics customers act on. Build the reporting that shows customers how their agents perform, what they cost, and where to improve.\n\n - Own the audit trail. Build the audit logging and team-scoped views enterprises rely on.\n \n \n\n\nWHAT WE'RE LOOKING FOR\n\n - 4+ years building backend services and public APIs in production.\n\n - Strong API craft: RESTful design, SDK ergonomics, and rate limiting.\n\n - You speak fluent OpenAPI — experience defining API standards and governance: versioning, deprecation, and consistency across services.\n\n - Fluency with observability and analytics: distributed tracing, metrics, and turning raw signals into data products people rely on.\n\n - Strong in Python and modern backend frameworks (FastAPI or similar), comfortable across TypeScript/Node.js on the product surfaces.\n\nPlatform 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.\n\n\n\n\nBONUS POINTS\n\n - OpenTelemetry or distributed tracing at scale.\n\n - Analytics datastores (ClickHouse, Druid, or similar).\n\n - Designing developer-facing SDKs used by external customers.\n\n - AI or LLM platform experience: token and cost accounting, agent-run tracing.\n\n - Startup or growth-stage experience.\n\n\nWHY STACKAI\n\nYou'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.\n\nStackAI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.","compensation":{"compensationTierSummary":"$171K – $190K • Offers Equity","scrapeableCompensationSalarySummary":"$171K - $190K","compensationTiers":[{"id":"babe9645-64cb-4e8c-bf7e-88c7fa2e5724","tierSummary":"$171K – $190K • Offers Equity","title":"SF / NYC","additionalInformation":null,"components":[{"id":"2233fa5b-72d3-46cb-b099-2e3ba5a4a030","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"182c0e49-bd2b-4d8c-b8de-7e1b7f1211c9","summary":"$171K – $190K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":171000,"maxValue":190000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":171000,"maxValue":190000}]}},{"id":"d65c8bc9-7b75-4fa9-b551-322fa822f657","title":"Forward Deployed AI Engineer","department":"Engineering","team":"Engineering - AI/ML","employmentType":"FullTime","location":"SF Office","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"NYC Office","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-05-01T03:49:33.692+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/stack-ai/d65c8bc9-7b75-4fa9-b551-322fa822f657","applyUrl":"https://jobs.ashbyhq.com/stack-ai/d65c8bc9-7b75-4fa9-b551-322fa822f657/application","descriptionHtml":"StackAI (by Asana) 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. An Asana Company, we're building the foundational platform for the AI-driven future of work
We’re seeking an experienced engineer to deploy enterprise-grade AI solutions, focusing on Retrieval-Augmented Generation (RAG) pipelines and large language model (LLM) workflows. This role is vital to expanding our reach with Fortune 500 and enterprise clients across various industries.
Role Overview:
You will integrate large language models into enterprise operations, working with strategic accounts to align solutions and technical approaches. Using the Stack AI platform, you'll also partner with clients to co-design solutions for emerging needs.
Responsibilities:
Optimize and support solutions within strategic accounts on the Stack AI platform.
Map requirements and relationships within target enterprise customer offices.
Pursue opportunities and provide feedback on our go-to-market strategy.
Contribute directly to the StackAI codebase, translating customer feedback into platform improvements across the Python backend and React/Next.js TypeScript frontend.
Forecast and close high-value opportunities.
Write proposals, pitch stakeholders, and lead product demos.
Evangelize Stack AI at enterprise events.
Requirements:
3+ years of experience in data science, software development, or generative AI.
Experience with strategic enterprise accounts, preferably Fortune 500.
Expertise in AI/ML, RAG pipelines, LLM workflows, and enterprise data analytics.
Eagerness to build a business in a fast-paced environment.
Ability to travel 10-20% of the time.
Stack AI is a no-code drag-and-drop tool to quickly design, test, and deploy AI workflows that leverage Large Language Models (LLMs), such as ChatGPT, to automate any business process.
Our core value is to make it extremely easy to build arbitrarily complex AI pipelines using a visual interface that allows you to connect different data sources with different AI models.
Our customers use Stack AI to build applications such as:
Chatbots and Assistants: AI agents that interact with users, answer questions, and complete tasks, using your internal data and APIs.
Document Processing: apps to answer questions, summarize, and extract insights from any document, no matter how long.
Answer Questions on Databases: connect GPT-like models to databases (such as Notion, Airtable, or Postgres) and ask questions about them.
Content Creation: generate tags, summaries, and transfer styles or formats between documents and data sources.
StackAI is the enterprise AI platform trusted by Fortune 500 companies, banks, healthcare providers, and government agencies to build, deploy, and scale AI-powered workflows, without requiring machine learning expertise.
Our no-code platform helps organizations automate document processing, knowledge retrieval, customer support, compliance operations, and other mission-critical workflows. Today, more than 200 enterprise customers use StackAI to run AI at scale across healthcare, financial services, legal, logistics, defense, and beyond.
Backed by Y Combinator and Google, StackAI recently joined forces with Asana to help define the future of AI-native work. Together, we're building the operating system for how enterprises deploy and manage AI agents across their organizations.
We're a small, highly ambitious team that moves fast, solves hard problems, and cares deeply about building exceptional products. If you're excited about sha
At Stack AI, we’re democratizing access to large language models, enabling anyone to build AI-powered applications that drive meaningful impact in the real world. As one of our first AI Strategists, you’ll partner directly with customers to design, deploy, and scale AI workflows that transform their operations.
You’ll wear many hats: part consultant, part product strategist, part operator. You’ll engage senior executives to define AI strategy, collaborate with technical stakeholders to deliver solutions, and guide organizations through adoption and change management. You’ll also bring back customer insights to influence Stack AI’s product roadmap, helping us scale a platform used by hundreds of large enterprises globally.
This is an ideal role for someone who thrives in ambiguity, enjoys blending strategy with execution, and is excited to help shape both our customers’ AI transformation and Stack AI’s future.
What You’ll Do
Executive Engagement: Partner with business leaders and technical teams to scope high-value AI use cases and align on success metrics.
End-to-End Ownership: Lead customer engagements from ideation through delivery, ensuring long-term adoption and measurable business outcomes.
AI Strategy & Value Discovery: Identify opportunities where AI workflows can deliver ROI, efficiency, and competitive advantage.
Customer Enablement: Train and empower customer teams to build and iterate on AI workflows using Stack AI’s no-code platform.
Change Management: Drive onboarding and adoption so that solutions become an integral part of customers’ day-to-day operations.
Product Feedback Loop: Act as the voice of the customer, surfacing needs, patterns, and insights that inform our roadmap.
Thought Leadership: Contribute to playbooks, case studies, and best practices that help scale Stack AI’s impact across industries.
What We’re Looking For
Customer-Centric Mindset: Deep empathy for users and ability to connect technical capabilities with business value.
Strategic Communication: Comfortable engaging both technical stakeholders and senior executives, translating between the two.
Enterprise & Startup Experience: Experience delivering solutions in complex organizations, while being comfortable operating in a startup environment.
Technical Acumen: Familiarity with AI/ML concepts and tools; experience with Python, SQL, or data analysis is a plus (but not required).
Builder Mentality: Bias for action, comfort with ambiguity, and ability to create structure where none exists.
Passion for AI: Strong conviction in AI’s transformative potential and excitement about making it accessible.
People Leadership (nice to have): Experience leading cross-functional initiatives or teams.
Why Join Stack AI
Massive impact: Shape how organizations adopt LLMs at scale, from startups to Fortune 500s.
Early team member: Join a YC-backed company founded by MIT PhDs, with 35,000+ users and growing fast.
Builder’s playground: Work at the intersection of strategy, product, and execution — helping define a new category of AI-powered workflows.
Values-driven culture: We value action, transparency, boldness, and curiosity.
Travel: Flexibility to travel occasionally for customer engagements (~10–40%).
","descriptionPlain":"ABOUT STACKAI\n\nStackAI is the enterprise AI platform trusted by Fortune 500 companies, banks, healthcare providers, and government agencies to build, deploy, and scale AI-powered workflows, without requiring machine learning expertise.\n\nOur no-code platform helps organizations automate document processing, knowledge retrieval, customer support, compliance operations, and other mission-critical workflows. Today, more than 200 enterprise customers use StackAI to run AI at scale across healthcare, financial services, legal, logistics, defense, and beyond.\n\nBacked by Y Combinator and Google, StackAI recently joined forces with Asana to help define the future of AI-native work. Together, we're building the operating system for how enterprises deploy and manage AI agents across their organizations.\n\nWe're a small, highly ambitious team that moves fast, solves hard problems, and cares deeply about building exceptional products. If you're excited about sha\n\n\n\n\nABOUT THE ROLE\n\nAt Stack AI, we’re democratizing access to large language models, enabling anyone to build AI-powered applications that drive meaningful impact in the real world. As one of our first AI Strategists, you’ll partner directly with customers to design, deploy, and scale AI workflows that transform their operations.\n\nYou’ll wear many hats: part consultant, part product strategist, part operator. You’ll engage senior executives to define AI strategy, collaborate with technical stakeholders to deliver solutions, and guide organizations through adoption and change management. You’ll also bring back customer insights to influence Stack AI’s product roadmap, helping us scale a platform used by hundreds of large enterprises globally.\n\nThis is an ideal role for someone who thrives in ambiguity, enjoys blending strategy with execution, and is excited to help shape both our customers’ AI transformation and Stack AI’s future.\n\nWhat You’ll Do\n\n - Executive Engagement: Partner with business leaders and technical teams to scope high-value AI use cases and align on success metrics.\n\n - End-to-End Ownership: Lead customer engagements from ideation through delivery, ensuring long-term adoption and measurable business outcomes.\n\n - AI Strategy & Value Discovery: Identify opportunities where AI workflows can deliver ROI, efficiency, and competitive advantage.\n\n - Customer Enablement: Train and empower customer teams to build and iterate on AI workflows using Stack AI’s no-code platform.\n\n - Change Management: Drive onboarding and adoption so that solutions become an integral part of customers’ day-to-day operations.\n\n - Product Feedback Loop: Act as the voice of the customer, surfacing needs, patterns, and insights that inform our roadmap.\n\n - Thought Leadership: Contribute to playbooks, case studies, and best practices that help scale Stack AI’s impact across industries.\n\nWhat We’re Looking For\n\n - Customer-Centric Mindset: Deep empathy for users and ability to connect technical capabilities with business value.\n\n - Strategic Communication: Comfortable engaging both technical stakeholders and senior executives, translating between the two.\n\n - Enterprise & Startup Experience: Experience delivering solutions in complex organizations, while being comfortable operating in a startup environment.\n\n - Technical Acumen: Familiarity with AI/ML concepts and tools; experience with Python, SQL, or data analysis is a plus (but not required).\n\n - Builder Mentality: Bias for action, comfort with ambiguity, and ability to create structure where none exists.\n Passion for AI: Strong conviction in AI’s transformative potential and excitement about making it accessible.\n\n - People Leadership (nice to have): Experience leading cross-functional initiatives or teams.\n\nWhy Join Stack AI\n\n - Massive impact: Shape how organizations adopt LLMs at scale, from startups to Fortune 500s.\n\n - Early team member: Join a YC-backed company founded by MIT PhDs, with 35,000+ users and growing fast.\n\n - Builder’s playground: Work at the intersection of strategy, product, and execution — helping define a new category of AI-powered workflows.\n\n - Values-driven culture: We value action, transparency, boldness, and curiosity.\n\nTravel: Flexibility to travel occasionally for customer engagements (~10–40%).\n\n","compensation":{"compensationTierSummary":"$134K – $227K • Offers Equity • Offers Commission","scrapeableCompensationSalarySummary":"$134K - $227K","compensationTiers":[{"id":"e5fcf441-ec8f-4c21-850d-00c6a3f80532","tierSummary":"$134K – $227K • Offers Equity • Offers Commission","title":null,"additionalInformation":null,"components":[{"id":"1f17ddcd-17ac-490b-b473-5a79a9e87676","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"93c88c6b-333c-48f9-9d72-75038a0d7b5f","summary":"Offers Commission","compensationType":"Commission","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"4ff49685-d3fb-46a0-898c-0006b46f5bbe","summary":"$134K – $227K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":134000,"maxValue":227000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Commission","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":134000,"maxValue":227000}]}},{"id":"e3a37f89-28d9-4717-9c18-3b4e95068d5c","title":"Solution Engineer","department":"Sales","team":"Sales","employmentType":"FullTime","location":"NYC Office","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-07-01T17:06:31.455+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/stack-ai/e3a37f89-28d9-4717-9c18-3b4e95068d5c","applyUrl":"https://jobs.ashbyhq.com/stack-ai/e3a37f89-28d9-4717-9c18-3b4e95068d5c/application","descriptionHtml":"StackAI (by Asana) 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. An Asana Company, we're building the foundational platform for the AI-driven future of work
We are looking for a Solutions Engineer to partner with our account executives 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.
We prefer candidates in New York City or San Francisco, but we are open to exceptional remote talent.
Partner closely with Account Executives to execute account strategies that expand ARR.
Own all pre-sales technical activities, including technical discovery, solution architecture, live demonstrations, and custom proof-of-concept builds.
Identify high-value enterprise use cases and design workflows to position StackAI’s Intelligence as a critical, strategic layer for the enterprise.
Package successful solution designs into structured, repeatable plays and demo assets to enable and scale the broader field engineering organization.
Navigate and influence complex enterprise organizations by translating deep technical AI capabilities into clear business value for C-suite sponsors, IT security gatekeepers, and PMO champions.
Run bootcamps and workshops for customers and prospects to deepen adoption and understanding.
Lead responses to RFPs and security assessments, articulating StackAI’s technical differentiation and platform architecture with precision.
Develop reusable workflow templates that can be shared across customer teams and back into our product library.
Collaborate cross-functionally with internal Product, Engineering, and Marketing teams to feed real-world client signals back into our product roadmap.
2+ years of experience in a Solutions Engineer, or similar technical customer-facing role within a SaaS or enterprise technology environment.
Hands-on fluency with Large Language Models (e.g., OpenAI, Anthropic, Gemini), prompt engineering, and their practical application to enterprise software workflows.
Proven capability to architect custom technical solutions or wire together APIs, prompts, and platform logic on the fly to address ambiguous client pain points.
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
Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them.
Bachelor’s degree in computer science, Engineering, Information Technology, or a related field (or equivalent practical experience).
Shape the customer-facing technical foundation of an AI company.
Work directly with high-speed sales on high-impact customer engagements
Mental health, wellness & fitness benefits; career coaching & support; inclusive family building benefits; long-term savings/retirement plans; in-office culinary options.
Competitive compensation and meaningful equity.
The opportunity to shape repeatable sales motions at the intersection of enterprise AI and workflow management, across 13+ global offices.
We’re hiring a Sales Development Representative (SDR) to generate qualified pipeline through outbound prospecting and inbound follow-ups. As an early non-engineering hire, you’ll help shape our go-to-market motion and messaging, and play a fundamental role in onboarding potential customers.
Prospect & outreach: Identify and engage target accounts via email, LinkedIn, cold calling, organizing events (led by you), and attending conferences.
Qualify & coordinate: Run first-call discovery, identify decision makers, book meetings for AEs, and identify potential use cases for prospects.
Build relationships: Nurture champions and connect with decision makers.
2+ years in BDR/SDR or sales (B2B SaaS; AI/GenAI a plus). Strong track record sourcing pipeline; enterprise experience preferred.
Comfortable learning technical concepts and translating GenAI into clear business value.
Proactive, organized, iterative, creative, adaptable, and enjoy testing messaging and improving processes.
Existing Fortune 500 network is a plus, not required.
Stack AI is a no-code drag-and-drop tool to quickly design, test, and deploy AI workflows that leverage Large Language Models (LLMs), such as ChatGPT, to automate any business process.
Our core value is to make it extremely easy to build arbitrarily complex AI pipelines using a visual interface that allows you to connect different data sources with different AI models.
Our customers use Stack AI to build applications such as:
Chatbots and Assistants: AI agents that interact with users, answer questions, and complete tasks, using your internal data and APIs.
Document Processing: apps to answer questions, summarize, and extract insights from any document, no matter how long.
Answer Questions on Databases: connect GPT-like models to databases (such as Notion, Airtable, or Postgres) and ask questions about them.
Content Creation: generate tags, summaries, and transfer styles or formats between documents and data sources.
StackAI (by Asana) 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. An Asana Company, we're building the foundational platform for the AI-driven future of work
We're looking for a senior frontend engineer who is incredible at execution. This is not about building flashy new features from scratch—it's about optimizing, refining, and incrementally improving what we've already built. You'll work closely with our Product Design pod to turn detailed visual specs into clean, production-ready code.
Main Mission: Remove the bottleneck in our Product Design pod by taking ownership of incremental UX/UI improvements to existing features and code.
Optimize and refine existing frontend code and features
Implement incremental UX/UI improvements from detailed design specs (no design skills required)
Work autonomously with minimal code review needed—your code should be clean enough that our other Front Enders can trust it blindfolded
Collaborate with Product Designers, Design Engineers, and Front End Engineers on execution
Focus on high-impact improvements that elevate our product quality and user experience
Clean up and improve legacy code
Must-haves:
Exceptional code quality: Clean, maintainable, trustworthy code that requires minimal review
Strong execution: You ship fast and ship well
Senior-level experience: 5+ years with React, TypeScript, Next.js, and modern frontend stack
Accountability: You own your decisions and respond when needed
Autonomy: You can own features end-to-end without hand-holding
Pragmatism: You are willing to engage with detail-oriented and iterative work that is essential to the product's success
Technical excellence: Someone who can teach us, not someone we have to teach
Nice-to-haves:
Experience with Tailwind CSS
Understanding of UI fundamentals (but design skills are NOT required)
Experience cleaning up and optimizing existing codebases
Comfort working across the stack when needed
React, Next.js, TypeScript, Tailwind CSS, TanstackQuery
High bar: We only hire people who wow us technically—someone better than us
Trust: We've learned that even \"boring tasks\" require exceptional engineers, because poor execution takes more time to review than to do right the first time
Execution over excitement: You're motivated by doing excellent work, not just working on the newest, shiniest features
The Product Design pod has ambitious plans in the roadmap, and we need a frontend engineer who can execute flawlessly to keep pace. You'll be critical to ensuring our product quality and velocity.
This role description captures the team's emphasis on exceptional technical quality, execution, and pragmatism over design skills or working on only the most exciting features.
","descriptionPlain":"ABOUT THE COMPANY\n\nStackAI (by Asana) 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. An Asana Company, we're building the foundational platform for the AI-driven future of work\n\n\nTHE ROLE\n\nWe're looking for a senior frontend engineer who is incredible at execution. This is not about building flashy new features from scratch—it's about optimizing, refining, and incrementally improving what we've already built. You'll work closely with our Product Design pod to turn detailed visual specs into clean, production-ready code.\n\nMain Mission: Remove the bottleneck in our Product Design pod by taking ownership of incremental UX/UI improvements to existing features and code.\n\n\nWHAT YOU'LL DO\n\n - Optimize and refine existing frontend code and features\n\n - Implement incremental UX/UI improvements from detailed design specs (no design skills required)\n\n - Work autonomously with minimal code review needed—your code should be clean enough that our other Front Enders can trust it blindfolded\n\n - Collaborate with Product Designers, Design Engineers, and Front End Engineers on execution\n\n - Focus on high-impact improvements that elevate our product quality and user experience\n\n - Clean up and improve legacy code\n\n\nWHAT WE'RE LOOKING FOR\n\nMust-haves:\n\n - Exceptional code quality: Clean, maintainable, trustworthy code that requires minimal review\n\n - Strong execution: You ship fast and ship well\n\n - Senior-level experience: 5+ years with React, TypeScript, Next.js, and modern frontend stack\n\n - Accountability: You own your decisions and respond when needed\n\n - Autonomy: You can own features end-to-end without hand-holding\n\n - Pragmatism: You are willing to engage with detail-oriented and iterative work that is essential to the product's success\n\n - Technical excellence: Someone who can teach us, not someone we have to teach\n\nNice-to-haves:\n\n - Experience with Tailwind CSS\n\n - Understanding of UI fundamentals (but design skills are NOT required)\n\n - Experience cleaning up and optimizing existing codebases\n\n - Comfort working across the stack when needed\n\n\nOUR TECH STACK\n\nReact, Next.js, TypeScript, Tailwind CSS, TanstackQuery\n\n\nWHAT WE VALUE\n\n - High bar: We only hire people who wow us technically—someone better than us\n\n - Trust: We've learned that even \"boring tasks\" require exceptional engineers, because poor execution takes more time to review than to do right the first time\n\n - Execution over excitement: You're motivated by doing excellent work, not just working on the newest, shiniest features\n\n\nWHY THIS ROLE MATTERS\n\nThe Product Design pod has ambitious plans in the roadmap, and we need a frontend engineer who can execute flawlessly to keep pace. You'll be critical to ensuring our product quality and velocity.\n\nThis role description captures the team's emphasis on exceptional technical quality, execution, and pragmatism over design skills or working on only the most exciting features.","compensation":{"compensationTierSummary":"€89K – €127K • Offers Bonus","scrapeableCompensationSalarySummary":"€89K - €127K","compensationTiers":[{"id":"856746cb-bbf2-445b-9b49-9d4fc9061578","tierSummary":"€89K – €127K • Offers Bonus","title":"Europe","additionalInformation":null,"components":[{"id":"a1e8ae7c-1877-4a0d-abf9-80d5ff3934b9","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"EUR","minValue":null,"maxValue":null},{"id":"e8c218f1-0efe-468e-a3e8-9e892a7ad7ab","summary":"€89K – €127K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"EUR","minValue":89000,"maxValue":127000}]}],"summaryComponents":[{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"EUR","minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"EUR","minValue":89000,"maxValue":127000}]}},{"id":"f533f0d8-bc44-48ed-9f1d-59cb3b1cde54","title":"Product Security Engineer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Poland - Warsaw Office","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-06-30T21:52:42.313+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"01-211","addressRegion":"Warsaw","streetAddress":"Ul. Marcina Kasprzaka 6, Warsaw, 01-211","addressCountry":"Poland","addressLocality":"Warsaw"}},"jobUrl":"https://jobs.ashbyhq.com/stack-ai/f533f0d8-bc44-48ed-9f1d-59cb3b1cde54","applyUrl":"https://jobs.ashbyhq.com/stack-ai/f533f0d8-bc44-48ed-9f1d-59cb3b1cde54/application","descriptionHtml":"StackAI (by Asana) 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. An Asana Company, we're building the foundational platform for the AI-driven future of work
At StackAI, security is how we earn the trust of the enterprises building AI assistants on our platform. We're hiring a hands-on (Senior) Product Security Engineer to design, build, and harden the secure architecture at the core of the product, working as a technical partner to our Core engineering lead.
This is a hands-on engineering role. You'll write production code and own the security-critical systems the whole platform depends on: encryption and key management, customer data protection, and how security is built into the way every team ships.
If you want deep ownership of these systems and the chance to harden and scale them as the platform grows, we'd love to meet you.
Own encryption and signing. Take ownership of our KMS, key management, BYOK, envelope encryption, and signing pipeline across both cloud and on-prem deployments—operating, hardening, and evolving them as the platform scales.
Protect the most sensitive customer data. Extend our PHI/PII scrubbing and strengthen the data-protection foundations that regulated enterprises already rely on.
Secure the storage layer. Own encryption at rest and tenant isolation.
Keep security the default in how we ship. Maintain and expand the secure-by-default templates and reference implementations embedded in our SDLC—the ones engineers actually want to adopt.
Threat-model the platform. Lead threat modeling on the seams between systems (the execution engine, connector trust boundaries, and multi-tenant isolation), using modern, AI-assisted threat-modeling tooling.
Raise the bar on tooling. Push our scanning further on coverage, signal, and CI enforcement, so critical findings never reach production.
Be the technical point of contact for security standards. Translate audit, compliance, and incident-response requirements into real implementation in our codebase.
4+ years building security-critical systems in production, with significant time spent implementing, not only reviewing or assessing.
Practical depth in cryptography and key management: encryption, KMS, secrets handling, and signing in real systems.
Secure architecture judgment: you can design and reason about secure systems and hold your own as a technical peer with senior engineers.
Multi-tenant SaaS isolation experience, including the data-isolation guarantees regulated customers require.
Strong secure-coding skills in our stack: Python on the backend, TypeScript/Node.js on the product surfaces.
Comfortable wiring security checks and gates into CI/CD so security is enforced automatically in the pipeline.
Security 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
Cloud and API security fundamentals on GCP, Azure, or AWS.
Securing on-prem, self-hosted, or air-gapped deployments.
Experience in regulated domains (healthcare/PHI, finance, etc.).
Familiarity with AI/LLM platform security: agent execution, connector trust boundaries, prompt and tool-call risk.
Startup or growth-stage experience.
About the role
We’re seeking an experienced engineer to deploy enterprise-grade AI solutions, focusing on Retrieval-Augmented Generation (RAG) pipelines and large language model (LLM) workflows. This role is vital to expanding our reach with strategic healthcare accounts, especially across provider, payer, and adjacent healthcare sectors. Experience with healthcare enterprise accounts, especially in payer/provider environments, including EHR integrations, claims workflows, and working with PHI securely. Life sciences or medical device experience is a plus.
Role Overview
You will integrate large language models into healthcare enterprise operations, working with strategic accounts to align solutions and technical approaches. Using the StackAI platform, you’ll partner with clients to co-design solutions for operational and clinical-adjacent workflows. We’re looking for someone with experience in the payer/provider space, including EHR integrations, claims processing, and working with PHI securely. Experience in life sciences or medical devices is a strong plus, especially in workflows such as CAPA, complaints, quality, and regulatory operations.
Responsibilities
Optimize and support solutions within strategic healthcare accounts on the StackAI platform
Work directly with payer, provider, and healthcare customers to understand workflows, systems, and implementation requirements
Design and deploy AI workflows for use cases such as claims processing, prior authorization, clinical documentation, patient operations, and knowledge retrieval
Support integrations with EHRs, healthcare data systems, APIs, and enterprise tools
Help customers build solutions that account for PHI, HIPAA, access controls, and auditability requirements
Map requirements and relationships within target customer organizations
Pursue opportunities and provide feedback on go-to-market strategy for healthcare accounts
Contribute directly to the StackAI codebase, translating customer feedback into platform improvements across the Python backend and React/Next.js TypeScript frontend
Write proposals, pitch stakeholders, and lead product demos
Evangelize StackAI at enterprise events and customer meetings
Requirements
3+ years of experience in data science, software development, solutions engineering, or generative AI
Experience working with strategic enterprise accounts, preferably in healthcare
Experience in the payer/provider space, especially with EHR integrations, claims workflows, revenue cycle, or payer/provider operations
Familiarity with handling PHI and sensitive healthcare data in production environments
Experience with strategic enterprise accounts, preferably Fortune 500.
Expertise in AI/ML, RAG pipelines, LLM workflows, and enterprise data analytics
Strong communication skills and ability to work across technical and business stakeholders
Eagerness to build in a fast-paced environment
Ability to travel 10–20% of the time
Preferred Qualifications
Experience with healthcare interoperability standards such as FHIR, HL7, X12, or EDI
Experience with provider or payer platforms such as Epic, Cerner, athenahealth, or similar systems
Background in life sciences or medical devices
Familiarity with workflows such as CAPA, complaint handling, quality systems, or regulatory documentation
About StackAI
Stack AI is a no-code drag-and-drop tool to quickly design, test, and deploy AI workflows that leverage Large Language Models (LLMs), such as ChatGPT, to automate any business process.
Our core value is to make it extremely easy to build arbitrarily complex AI pipelines using a visual interface that allows you to connect different data sources with different AI models.
Our customers use Stack AI to build applications such as:
Chatbots and Assistants: AI agents that interact with users, answer questions, and complete tasks, using your internal data and APIs.
Document Processing: apps to answer questions, summarize, and extract insights from any document, no matter how long.
Answer Questions on Databases: connect GPT-like models to databases (such as Notion, Airtable, or Postgres) and ask questions about them.
Content Creation: generate tags, summaries, and transfer styles or formats between documents and data sources.