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