Product Manager – B2B SaaS, AI First Product Transformation – London / Hybrid (2 to 3 days a Month in the London office) – £80,000 to £100,000
We are on the hunt for a Product Manager to join a growing B2B SaaS scale-up. You will help build and evolve AI-driven SaaS products as the company transitions toward a more agentic and AI-first product development approach.
You will work closely with engineering, design, and stakeholders to deliver high-impact product features while adopting modern AI tools to accelerate discovery, delivery, and iteration.
This role is highly experimental and suited to someone comfortable working in fast-changing, technical environments.
Key responsibilities:
- Own delivery and execution of key product initiatives within their feature rich B2B SaaS platform aimed at enterprise customers
- Work closely with engineering to define, scope, and ship features
- Use data and experimentation to inform product decisions
- Help integrate AI tools and agent-based workflows into product development
- Contribute to product discovery using modern AI-assisted workflows
- Translate customer insights into actionable product improvements
- Support adoption of AI-driven product practices across teams
What we are looking for:
- Demonstrable experience within B2B SaaS product environments.
- Hands-on experience using AI to improve product management workflows. You should be able to demonstrate what you have built, automated, or enhanced using tools such as Claude Code, Cursor, n8n, LangChain, Langfuse, or similar.
- Strong technical fluency. You are comfortable discussing Git workflows, frontend and backend technologies, APIs, GraphQL, and can confidently assess whether an AI-generated architectural recommendation makes sense.
- Excellent product judgement combined with strong strategic, analytical, design, and technical thinking.
- An experimental mindset where you are comfortable creating the playbook as you go.
- Outstanding customer empathy. You regularly engage with users and senior stakeholders to understand their needs and translate insights into product decisions.
Nice to Have
- Experience evaluating prompts and LLM performance using tools such as Langfuse, with an understanding of how Product Managers contribute to AI output quality.
- Experience using AI agents and agentic workflows to run product discovery, validation, and PRD generation instead of relying solely on traditional documentation.
For more information, please get in touch with Michael Johnson at Hurren and Hope.
