Product Manager, Mistral Vibe

Mistral AI Mistral AI · AI Frontier · Paris, France · Product

Product Manager for Mistral's GenAI-native coding assistant (Mistral Vibe), focusing on defining product strategy, GTM, and roadmap for enterprise and individual developers. Requires deep product leadership, business acumen, developer product expertise, and understanding of GenAI models.

What you'd actually do

  1. Set the vision: Shape and evangelize a compelling product strategy for Mistral’s GenAI-native coding assistant, ensuring alignment with company goals and market opportunities.
  2. Own the lifecycle: Drive end-to-end product development, from ideation to launch and iteration—balancing speed, quality, and user delight.
  3. Go-to-market: Collaborate with marketing and sales to launch products successfully, including pricing, positioning, and adoption strategies.
  4. Align stakeholders: Rally science, engineering, design and business teams around priorities, trade-offs and timelines.
  5. Prioritize ruthlessly: Maintain a dynamic roadmap that delivers quick wins while advancing long-term bets.

Skills

Required

  • Product strategy and roadmap definition
  • Market and user research
  • Data analysis
  • Prioritization
  • Experimentation and A/B testing
  • Performance metrics
  • Structured collaboration with engineering and science teams
  • Go-to-market strategies (positioning, pricing, packaging, promotion)
  • Product-led initiatives
  • Launching new products
  • 0 to 1 initiatives
  • Product-market fit
  • Developer tools
  • Understanding of GenAI and LLMs
  • Collaboration with AI/science teams

Nice to have

  • Previous experience as an engineer

What the JD emphasized

  • 10+ years of experience in product management
  • Deep mastery of best-in-class PM practices
  • Proven experience owning product vision and strategy for enterprise-focused products
  • Strong background launching new products, driving 0 to 1 initiatives, finding product-market fit
  • Deep understanding of developer-facing products
  • Solid understanding of how GenAI and large language models are built, trained and deployed
  • Experience working closely with AI or applied science teams

Other signals

  • GenAI-native coding assistant
  • product strategy for GenAI
  • developer-facing products
  • enterprise needs
  • scale adoption