AI Lead, StackOne
£90-120k
Offers bonus and employee share options plan
1+ day a week in office
Unified API for B2B SaaS
Be an early applicant
Unified API for B2B SaaS
21-100 employees
Be an early applicant
£90-120k
Offers bonus and employee share options plan
1+ day a week in office
21-100 employees
Company mission
To empower SaaS companies to build groundbreaking products that seamlessly connect with their customers’ stacks.
Role
Who you are
- 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)
- 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
- 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
- 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
- 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
- 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.)
- 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
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
Insights
Company
Employee endorsements
Hard working team
"Each team member is approachable and happy to help, contribute or answer questions. There's a great sense of unity toward a common goal, and I trust..."
Funding (last 2 of 3 rounds)
Apr 2025
$20m
Series A
Nov 2023
$3.6m
Seed
Total funding: $23.9m
Company benefits
- Participation in the company’s employee share options plan
- 25 days holiday + 1 additional day holiday per year of tenure
- Remote working friendly
- £1,000 for your home office set up + £500/year top-up
- Cycle2Work and Electric Car Scheme
- Multiple company offsites per year
- 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)
Company HQ
Waterloo, London, UK
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.
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