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Product Manager

PrimisUnited Kingdom
£1352k · statedRemote · UKMid-Senior Level

Skills

  • AI PRODUCT MANAGEMENT
  • LLMS
  • RAG
  • NLP
  • INSIGHTS PLATFORMS
  • PRODUCT VISION
  • ROADMAP
  • MVP DELIVERY
  • VENDOR MANAGEMENT
  • CLOUD PLATFORMS
  • DATA PIPELINES
  • AI TOOLING

About the role

Product Manager (AI)

Remote

£650 per day

9 months

Are you an AI product Manager looking for an exciting new contract, then this one’s for you!

An established, scientist-led business in the healthcare sector that is investing heavily in AI. The business is building an AI-enabled insights platform, an external partner has built a cloud-based prototype. You'll be the bridge between the scientists and the build partners, taking the platform from prototype to a credible MVP.

What you'll do

  • Own the product vision and roadmap, from prototype to Implementation
  • Review and challenge the build spec, architecture and estimates, and agree a realistic MVP
  • Manage external build partners day to day on scope, quality and timelines
  • Turn the scientists' needs into clear requirements, user stories and priorities
  • Advise on technology choices, including cloud platforms, data pipelines and AI tooling
  • Make sure data is handled responsibly, in line with data protection and industry rules
  • Set up quality checks so the AI's outputs are accurate and trustworthy
  • Keep scientists, leadership and investors aligned, and report progress and risks clearly
  • Document the product and support the handover to, and hiring of, a permanent Product Manager

What you'll bring

  • 8+ years as a senior product manager
  • Hands-on experience launching AI or data products (LLMs, RAG, NLP or insights platforms)
  • A track record of getting from prototype to MVP on a fixed deadline
  • Experience managing external vendors and challenging their scope and estimates
  • Enough cloud, data and AI knowledge to challenge engineers credibly

Nice to have

  • Experience in pharma, life sciences, healthtech or another regulated industry
  • Knowledge of GDPR and industry compliance
  • Experience setting up safeguards against AI inaccuracy and hallucination
  • Experience in a private equity-backed, consultancy or agency environment


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