Product Manager, Mistral AI
Studio
relocation support
Generative AI model developers
Be an early applicant
Generative AI model developers
501-1000 employees
Be an early applicant
relocation support
501-1000 employees
Company mission
To make frontier AI ubiquitous, and to provide tailor-made AI to all the builders.
Role
Who you are
- Experience with AI products, including large language models or machine learning, and understanding of technical trade-offs
- Experience launching and scaling products, particularly in early-stage environments
- Commitment to solving real user problems, using data and qualitative insights
- Proven ability to align and inspire cross-functional teams without direct authority
- Balance between strategic thinking and hands-on problem-solving
- Strong communication skills for executives, teams, and users
- Ability to thrive in dynamic environments where priorities shift
- Self-directed, taking initiative to navigate unknowns and own outcomes
What the job involves
- As a Product Manager on the Studio team, you will define and execute the product strategy for one of our squads : Workflows, Observability, AI Registry & Spaces, Harness & Agent Platform, APIs & SDKs, and more
- This role exists to help enterprises build, evaluate, and operate AI systems reliably, safely, and at scale, turning prototypes into production-ready solutions
- Our Studio product provides the infrastructure enterprises need to move from prototypes to production, including comprehensive monitoring, reliable automation, and centralized tracking of AI assets. Your squad will focus on a specific area directly impacting how enterprises deploy and manage AI systems
- You will determine how enterprises observe AI behavior, run complex workflows, version and track assets, and deploy safely across hybrid and self-hosted environments. Your work will shape the standards, traceability, and continuous improvement that turn AI into a dependable operational capability
- Define and communicate a clear product strategy for AI tools, aligned with company goals and market opportunities
- Lead market and user research to uncover unmet needs and emerging trends
- Drive end-to-end product development, from concept to launch and iteration
- Partner with design and research to create effective user experiences
- Collaborate with marketing and sales to launch products, including pricing and positioning
- Align engineering, design, and business teams around priorities and trade-offs
- Maintain a roadmap that balances short-term results and long-term goals
Our take
Founded by Facebook AI researchers, Mistral AI focuses on developing open-source generative AI models to "make AI useful." It emerged in early 2023, quickly achieving a $260 million valuation.
Mistral features up to 176 billion parameters, and its open-source nature has sparked concerns about potential misuse. However, Mistral remains a formidable competitor in the AI landscape, challenging models from Google and Meta.
In 2025, Mistral secured a massive €1.7 billion funding round, raising its valuation to €11.7 billion. This Series B funding, led by European chip firm ASML, underscores significant interest in alternatives to ChatGPT and a push away from Silicon Valley dependence by European AI competitors.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 5 rounds)
Sep 2025
$2.0bn
SERIES C
Jun 2024
$544.7m
SERIES B
Total funding: $3.1bn
Company benefits
- Competitive bonus structure
- Equity
- Opportunities for professional growth and development
Company HQ
Villette, Paris, France
Leadership
Timothee Lacroix
(Co-Founder & CTO)Previously PhD and Software Engineer Intern at Facebook and Visiting Undergraduate at CAlab UCSD
Guillaume Lample
(Co-Founder & Chief Scientist)Research Student and Scientist at Facebook AI and Research Intern at Jane Street Capital
Arthur Mensch
(Co-Founder & CEO)Previously Staff Research Scientist at DeepMind, Post-doc researcher at École normale supérieure, Visiting Researcher at NYU Courant Institute of Mathematical Sciences and PhD Student at Inria
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