Product Manager, Context & Search

Mistral; Paris; Sur place; EUR 70 000 - 90 000; Plein temps

Résumé du poste

Mistral in Paris is seeking an experienced Product Manager to shape and build the future of AI‑agent interactions. This role involves defining product strategy, conducting market research, and driving the end-to-end product development lifecycle, ensuring alignment with B2B enterprise needs.

The ideal candidate will possess 5+ years in product management, particularly in Search/Context/Connectors areas, and a strong ability to evaluate technical choices. Join us at Mistral to create impactful AI solutions.

Qualifications

• 5+ years of hands-on experience with a focus on Search/Context/Connectors products in the B2B/Enterprise space.
• Ability to understand technical trade-offs for large-scale AI-agent platforms.

Responsabilités

• Define product strategy for Context & Search approach, ensuring market alignment.
• Drive end-to-end product development from ideation to launch.
• Collaborate with marketing and sales for successful product launches.

Connaissances

Product Management

Technical evaluation

Market research

Cross-functional collaboration

Description du poste

About Mistral

At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on‑premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.

We are a dynamic, collaborative team passionate about AI and its potential to transform society.

Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low‑ego and team‑spirited.

Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.

Role summary

We’re seeking a strategic and execution‑driven Product Manager to define and build the future of AI‑agent interactions. Designing highly capable agents requires access to the right context & environments (data, tools, MCP servers, Search Platform, RAG, etc). This is a highly cross‑functional role, requiring alignment with engineering, research, design, and business teams to design a scalable platform approach that empower our agentic capabilities while ensuring seamless adoption and alignment with Mistral’s broader product goals.

Reporting line: Product Director, AI Platform

Location: Paris or London

What you will do

• Define the Future
  • Set the vision: Shape and evangelize a compelling product strategy for our Context & Search approach, ensuring alignment with company goals and market opportunities.
  • Spot the gaps: Lead market and UX research to uncover unmet needs, competitive whitespaces, and emerging trends enterprise product management.
• Build & Ship
  • Own the lifecycle: Drive end-to-end product development, from ideation to launch and iteration—balancing speed, quality, and user delight.
  • Champion the user: Partner with design and research to craft intuitive, high-impact experiences, using data and feedback to refine continuously.
• Scale & Execute
  • Go-to‑market: Collaborate with marketing and sales to launch products successfully, including pricing, positioning, and adoption strategies.
  • Align stakeholders: Rally engineering, design and business teams around priorities, trade‑offs and timelines.
  • Prioritize ruthlessly: Maintain a dynamic roadmap that delivers quick wins while advancing long‑term bets.

Required Qualifications

• Product Management: 5+ years of hands‑on experience with a focus on Search/Context/Connectors product areas in the B2B / Enterprise space.
• Technical skills: You understand technical trade‑offs and can evaluate architecture choices for large-scale AI‑agent platforms.