About StackOne

StackOne is the universal integration layer for modern SaaS products. We''ve raised $24m in 2 years, and we''re backed by top tier investors like Google Ventures and Workday Ventures.Our unified API platform lets vendors ship hundreds of native, white label integrations in days, not months, by abstracting away dozens of disparate third party APIs into a single, normalized interface. On top of those APIs, we provide AI Agent Actions so customers can build agentic workflows without wrangling OpenAPI specs.StackOne sits behind the scenes as an embedded iPaaS: SOC 2 compliant, multi-tenant, and invisible to end users powering integrations for future-of-work SaaS categories such as HR, Compliance, and AI Agents.Our customers are established B2B SaaS companies that:Sell to mid market and enterprise buyersAre building AI Agents in the near futureNeed deep, native integrations to win competitive deals and power their productValue time to integration over building connectors in houseWe typically close OEM and embedded licensing deals, multi-year (1 to 3 year) contracts, five to seven figure TCV, with a strong land and expand model. Key buyer personas are the CPO and CTO.

Role overview

We\''re seeking an exceptional AI Lead to spearhead our AI engineering team and drive the development of enterprise-grade AI agent tooling. This role combines technical leadership with product management responsibilities, requiring someone who can translate business vision into technical execution while leading a team of engineers.You\''ll be reporting directly to the CTO and collaborate on a daily basis with the founders. You will be responsible for delivering on our comprehensive AI agent strategy, including our AI ToolSet SDK, proprietary planner-executor system, and real-time integration capabilities across 200+ enterprise SaaS platforms.

Your responsibilities

Technical LeadershipLead and scale a team of AI engineers focused on AI agent development and AI toolingDrive technical architecture decisions for AI agent integrations and toolingOwn the development of our AI ToolSet SDK (TypeScript/Python) and agent frameworksLeads RandD of our proprietary planner-executor system maintains superior accuracy vs. off-the-shelf LLMsLead development of real-time AI agent capabilities with enterprise-grade securityProduct ManagementDefine and execute roadmap for AI agent internal and external toolingPrioritize feature development based on market needs and technical feasibilityCollaborate with customers, sales and customer success on enterprise AI agent deploymentsDrive adoption of open-source standards (MCP, A2ALangChain, OpenAI tools) in our platformStrategic ExecutionDeliver on AI agent capabilities outlined in our public strategyEnsure seamless integration with existing unified API infrastructureDrive token efficiency improvements and data normalization for LLM consumptionLead multi-tenant authentication and security implementations for AI agentsBuild and maintain integrations with major AI frameworks (OpenAI, LangChain, CrewAI, etc.)Team DevelopmentMentor, and develop world-class AI engineersFoster culture of innovation and rapid experimentationEstablish engineering best practices for AI agent developmentDrive technical excellence while maintaining rapid delivery pace

Core qualifications

Technical Leadership Experience7+ years of software engineering experience with 3+ years in AI/ML leadership roles3+ years leading engineering teamsProven track record of shipping customer-facing AI productsExperience in fast-growing B2B SaaS companies (Series A-B stage preferred)AI and ML ExpertiseDeep expertise in LLMs, AI agents, and enterprise AI applicationsStrong background in API design, particularly for AI tool-calling and integration platformsExperience with vector databases, RAG systems, and real-time data processingUnderstanding of enterprise authentication, security, and multi-tenancyKnowledge of AI agent frameworks and emerging standards (MCP, etc.)Infrastructure and Data EngineeringProficiency in TypeScript/Node.js and Python for AI developmentExperience with cloud infrastructure and services (AWS and/or Cloudflare preferred but not required)Experience with ETL, Databases / Data Warehouses (eg. Postgres, Databricks, Vector DBs...) and DAG orchestration tools like Airflow or DagsterProduct and Business SkillsStrong product intuition with ability to balance technical complexity and user needsExperience working directly with enterprise customers on AI implementationsDeep understanding of enterprise SaaS integration challengesExperience with APIs, webhook systems, and real-time data architecturesKnowledge of enterprise security requirements (SOC2, GDPR, HIPAA)Benefits

Join one of Europe\''s fastest-growing startupsWork with a veteran team of ex-employees of Google, Microsoft, Oracle, Coinbase, JP Morgan and moreParticipation in the company\''s employee share options plan25 days holiday + 1 additional day holiday per year of tenureFlexible work setup - we\''re hybrid-friendly£1,000 for your home office set up + £500/year top-upCycle2Work and Electric Cars schemePrivate health insurance (including dental and optical)Health, fitness and gift card discountsAnnual team offsite to sunny spots (last ones were in Spain and Portugal )Ready to help us change the game for SaaS integrations? Get in touch and let\''s chat!We believe diversity drives innovation. We encourage individuals from all backgrounds to apply. As an equal-opportunity employer, we celebrate diversity and are committed to creating an inclusive environment for all employees.

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