Artificial Intelligence Lead, StackOne
£90-120k
Offers bonus and employee share options plan
1+ day a week in office
Integration infrastructure for AI agents
Job no longer available
Integration infrastructure for AI agents
21-100 employees
Job no longer available
£90-120k
Offers bonus and employee share options plan
1+ day a week in office
21-100 employees
Company mission
To build the integration infrastructure that lets AI agents act — securely, reliably, across any system.
Role
Who you are
- 5+ years of software engineering experience with 2+ years in AI/ML leadership roles
- 2+ 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)
- 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.)
- 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
- 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)
What the job involves
- You'll help build a world where users of any agents can integrate with the tool of their choice in one click thanks to StackOne
- 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 Leading Tool Calling Model, Tool reinforcement & reflexive learning, proprietary planner-executor system
- Lead and scale a small team of AI engineers & Researchers focused on Model Fine-tuning, Reinforcement learning & AI agent development
- Drive technical architecture decisions for fine-tuning models & RL
- Own the development of our AI ToolSet SDK (TypeScript/Python) and agent frameworks
- Leads R&D of our proprietary tool-calling related models & data pipelines
- 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 & Researchers
- Foster culture of innovation and rapid experimentation
- Establish engineering best practices for AI agent development
- Drive technical excellence while maintaining rapid delivery pace
Salary benchmarks
Our take
The explosion of SaaS tools has created an integration nightmare for companies. More and more B2B customers are expecting their SaaS tools to integrate with each other natively. But building and managing API connections in-house as a software vendor is time-consuming and costly, diverting teams from their core roadmap and stopping sales teams from selling.
As the next-generation integration platform, StackOne is solving the challenge of building SaaS integrations at scale once and for all. Founded in 2023 by ex-Google and Oracle executives, StackOne has seen exceptionally fast growth since its launch. With its best-in-class security and real-time architecture, the company is well-positioned to become a category leader in the API integration solutions market.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Apr 2025
$20m
Series A
Nov 2023
$3.6m
Seed
Total funding: $23.9m
Company benefits
- Meaningful share options (EMI) - share in the company's success as we grow
- 25 days holiday + 1 additional day per year of tenure
- Hybrid working friendly - typically 2 days/week in our London office. We’re open to discussing flexible arrangements—please share any preferences in your application
- Private health insurance - including dental & optical
- £15/day lunch budget when working from our London office, up to £120/month
- £1,000 for your home office set up + £500/year top-up
- Health, fitness and gift card discounts
- Cycle2Work and Electric Car Scheme
- Monthly in-person socials
- Annual team offsite to sunny spots (last ones were in Spain and Portugal!)
Company HQ
Central London
Articles
Leadership
Romain Sestier
(Co-Founder & CEO)Previously worked for Google as co-founder and Product Lead of Area120, VP of Product and Sales at Yieldify, co-founder and CEO of Upper.ai and Head of UK Professional Services at ContentSquare.
Guillaume Lebedel
(Co-Founder & CTO)Previously VP of Engineering at Yieldify until its acquisition by Epsilon/Publicis. Also co-founded another start-up and worked at Maxymiser (acq. by Oracle) as a developer.
Diversity, Equity & Inclusion at StackOne
Yasmin Chalmers (Head of People)
- Women @ StackOne community
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