Product Manager, Forge

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

Product Manager to define and execute the strategy for Forge, a product enabling customers to build, fine-tune, and deploy custom AI models at scale. This role involves translating cutting-edge research into enterprise-ready capabilities, focusing on model fine-tuning, reinforcement learning, and post-training workflows.

What you'd actually do

  1. Set the vision: Shape and evangelize a compelling product strategy for Forge ensuring alignment with company goals and market opportunities.
  2. Lead market and UX research to uncover unmet needs, competitive whitespaces, and emerging trends in SOTA AI post-training capabilities.
  3. Drive end-to-end product development, from ideation to launch and iteration—balancing speed, quality, and user delight.
  4. Partner with design and research to craft intuitive, high-impact experiences, using data and feedback to refine continuously.
  5. Collaborate with marketing and sales to launch products successfully, including pricing, positioning, and adoption strategies.

Skills

Required

  • Product Management Experience (5+ years)
  • AI/ML or infrastructure solutions
  • Training pipelines
  • RL loops
  • Model deployment architectures
  • AI model lifecycle management
  • Fine-tuning
  • Evaluation
  • Serving
  • Infrastructure as Code (IaC)
  • Containerization
  • Scalable deployment modes
  • User obsession
  • Cross-functional influence
  • Problem-solving
  • Communication
  • Adaptability
  • Collaboration
  • Autonomy

Nice to have

  • Kubernetes
  • Slurm
  • Proficient coding skills
  • Kubernetes know-how
  • Product-led growth strategies
  • Founder or early-stage PM experience
  • Technical depth to prototype/hack/dive into code

What the JD emphasized

  • 5+ years of relevant experience in new, competitive, fast-paced and ambiguous environments with a track record of building and scaling complex AI/ML or infrastructure solutions
  • Very good understanding of training pipelines, RL loops, and model deployment architectures
  • Expertise in AI model lifecycle management, including fine-tuning, evaluation, and serving
  • Experience with Infrastructure as Code (IaC), containerization, and scalable deployment modes
  • Balance big-picture thinking with hands-on problem-solving
  • Ability to distill complex technical concepts (e.g., RL, LoRA, SFT) into clear narratives

Other signals

  • Product Manager for AI platform
  • Define and execute strategy for a product enabling customers to build, fine-tune, and deploy custom AI models
  • Translates frontier techniques into scalable and reliable solutions
  • 0-1 product with significant business impact