Product Manager - AI

AI Product Manager - Hybrid - Cambridge - £55,000

I am working with a highly respected, long‑established professional services organisation that is investing in next‑generation AI solutions. They are modern, forward‑thinking and currently transforming how their teams deliver legal and operational services using automation, LLMs and responsible‑AI principles.

This is the kind of place where you're trusted to make an impact. You will join a collaborative environment with a strong people‑first culture, a genuinely supportive leadership team, and a clear appetite for innovation. They are building out an AI squad with real budget, real backing and real ambition.

You will Work With

• Supporting discovery, requirement gathering and value assessments for AI opportunities
• Mapping and analysing current legal workflows to identify AI‑driven efficiencies
• Creating user stories, process maps, acceptance criteria and documentation
• Supporting Agile planning, estimation, and backlog refinement with the Product Owner
• Monitoring sprint progress, tracking risks and maintaining RAID logs
• Supporting vendor evaluations, pilot programmes, testing and performance assessment
• Ensuring responsible‑AI practices, human‑in‑the‑loop processes and legal-risk considerations
• Communicating complex AI/ML concepts in simple, accessible language
• Continuously improving user journeys and workflow design across AI tools

Benefits

• 25 days holiday + Bank Holidays
• Long‑service holiday awards
• Private Healthcare
• Staff profit share & performance bonus scheme
• Salary sacrifice options
• Life Assurance (4x salary) & PHI
• Paid CSR day
• Enhanced maternity & paternity leave
• Hybrid working

Key Experience

• Business Analyst or Product Manager in a digital or technology-led environment
• Strong understanding of automation, workflow optimisation
• Experience working in Agile teams (Scrum or Kanban)
• Knowledge of AI technologies (LLMs, NLP, extraction/classification, summarisation, RAG pipelines, etc.)
• Experience in regulated environments or legal workflows (advantageous)
• Strong process-mapping and analytical skills (UML, BPM, modelling tools)
• Proficiency with tools such as Jira, Lucidchart, BPM tools
• Excellent communication and stakeholder‑engagement skills
• Ability to simplify and communicate complex AI/ML concepts
• Experience facilitating workshops and working closely with clients
• Confidence supporting Scrum ceremonies and Agile delivery processes
• A proactive, product‑focused mindset with strong problem‑solving ability