Product Manager — Context & AI Platforms

Mistral

Greater London

On-site

GBP 70,000 - 90,000

Full time

45 hours ago
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Job summary

Mistral in London builds full-stack AI solutions and seeks a Product Manager for the Context team to define how AI agents access and use context, data, tools, platforms, and environments. You will bridge cutting-edge capabilities with real-world usability.

You’ll own the end-to-end lifecycle from ideation to launch, collaborate across engineering, design and business, and shape how users and enterprises interact with AI, unlocking automation and efficiency.

Qualifications

  • 5+ years of hands-on Product Management experience in enterprise AI.
  • Experience with Agentic AI, Context Engineering, data platforms, and semantic layers in B2B/Enterprise environments.
  • Strong cross-functional leadership and communication skills.

Responsibilities

  • Define and evangelize a clear product strategy for our Context & Search platform, aligning it with company goals and market opportunities.
  • Lead market and UX research to identify unmet needs, competitive gaps, and emerging trends in enterprise AI.
  • Own the end-to-end product lifecycle, from ideation to launch, balancing speed, quality, and user-centric design.
  • Collaborate with design and research teams to create intuitive, high-impact user experiences, iteratively refined by data and feedback.
  • Drive go-to-market efforts, including pricing, positioning, and adoption strategies, in partnership with marketing and sales.
  • Align engineering, design, and business teams around priorities, trade-offs, and timelines to ensure seamless execution.
  • Maintain a dynamic roadmap that delivers quick wins while advancing long-term strategic bets.

Skills

Agentic AI
Context Engineering
Data platforms
MCP/Connectors
Search
Ontology & semantics

Job description

Mistral in London builds full-stack AI solutions and seeks a Product Manager for the Context team to define how AI agents access and use context, data, tools, platforms, and environments. You will bridge cutting-edge capabilities with real-world usability.

You’ll own the end-to-end lifecycle from ideation to launch, collaborate across engineering, design and business, and shape how users and enterprises interact with AI, unlocking automation and efficiency.

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