AI Lead

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 buyers
• Are building AI Agents in the near future
• Need deep, native integrations to win competitive deals and power their product
• Value time to integration over building connectors in house

We 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 Leadership

• Lead and scale a team of AI engineers focused on AI agent development and AI tooling
• Drive technical architecture decisions for AI agent integrations and tooling
• Own the development of our AI ToolSet SDK (TypeScript/Python) and agent frameworks
• Leads R&D of our proprietary planner-executor system maintains superior accuracy vs. off-the-shelf LLMs
• Lead development of real-time AI agent capabilities with enterprise-grade security

Product Management

• Define and execute roadmap for AI agent internal and external tooling
• Prioritize feature development based on market needs and technical feasibility
• Collaborate with customers, sales and customer success on enterprise AI agent deployments
• Drive adoption of open-source standards (MCP, A2ALangChain, OpenAI tools) in our platform

Strategic Execution

• Deliver on AI agent capabilities outlined in our public strategy
• Ensure seamless integration with existing unified API infrastructure
• Drive token efficiency improvements and data normalization for LLM consumption
• Lead multi-tenant authentication and security implementations for AI agents
• Build and maintain integrations with major AI frameworks (OpenAI, LangChain, CrewAI, etc.)

Team Development

• Mentor, and develop world-class AI engineers
• Foster culture of innovation and rapid experimentation
• Establish engineering best practices for AI agent development
• Drive technical excellence while maintaining rapid delivery pace

Core qualifications

Technical Leadership Experience

• 7+ years of software engineering experience with 3+ years in AI/ML leadership roles
• 3+ years leading engineering teams
• Proven track record of shipping customer-facing AI products
• Experience in fast-growing B2B SaaS companies (Series A-B stage preferred)

AI & ML Expertise

• Deep expertise in LLMs, AI agents, and enterprise AI applications
• Strong background in API design, particularly for AI tool-calling and integration platforms
• Experience with vector databases, RAG systems, and real-time data processing
• Understanding of enterprise authentication, security, and multi-tenancy
• Knowledge of AI agent frameworks and emerging standards (MCP, etc.)

Infrastructure & Data Engineering

• Proficiency in TypeScript/Node.js and Python for AI development
• Experience 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 Dagster

Product & Business Skills

• Strong product intuition with ability to balance technical complexity and user needs
• Experience working directly with enterprise customers on AI implementations
• Deep understanding of enterprise SaaS integration challenges
• Experience with APIs, webhook systems, and real-time data architectures
• Knowledge of enterprise security requirements (SOC2, GDPR, HIPAA)

Benefits

• Join one of Europe's fastest-growing startups
• Work with a veteran team of ex-employees of Google, Microsoft, Oracle, Coinbase, JP Morgan and more
• Participation in the company's employee share options plan
• 25 days holiday + 1 additional day holiday per year of tenure
• Flexible work setup - we're hybrid-friendly
• £1,000 for your home office set up + £500/year top-up
• Cycle2Work and Electric Cars scheme
• Private health insurance (including dental & optical)
• Health, fitness and gift card discounts
• Annual 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!

Comp: £90,000 - 120,000 base salary + bonus

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.