Product Manager - AI
26 days ago
Cambridge
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, • 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, • 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