Product Manager, Mistral AI
Science
+ Equity
More information about location
Generative AI model developers
Open for applications
Generative AI model developers
501-1000 employees
Open for applications
+ Equity
More information about location
501-1000 employees
Company mission
To make frontier AI ubiquitous, and to provide tailor-made AI to all the builders.
Role
Who you are
- Product Management: 5+ years of relevant experience in new, competitive, fast-paced and ambiguous environments
- Technical foundations: Master’s degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field
- Technical skills: Hands-on experience with generative AI, LLMs or ML-driven products with a strong grasp of evaluation methods and curiosity for model training and iteration cycles. You understand technical trade-offs and can partner effectively with engineering teams
- Cross-functional influence: Proven ability to align and inspire engineering, design, and go-to-market teams without direct authority
- Problem-solving: Balance big-picture thinking with hands-on problem-solving. You’re equally comfortable crafting a roadmap and diving into metrics
- Communication: Crisp, persuasive storytelling for executives, teams, and users whether in docs, decks, or whiteboard sessions
- Adaptability: Thrive in high-velocity, dynamic settings where priorities shift quickly
- Collaboration: Low ego + high EQ. You build trust and drive decisions through clarity, not hierarchy
- Autonomy: Self-directed with a bias for action, you can navigate unknowns and own outcomes end-to-end
What the job involves
- We are looking for an experienced Product Manager to drive our efforts in shaping model behavior and enhancing the real-world impact and reliability of our models
- You will deeply understand how users, developers, and enterprises interact with our models and products, uncovering key usage patterns, pain points, and areas where model behavior falls short
- You will identify gaps and translate them into clear opportunities for improvement, while leading the development of rigorous evaluation frameworks that combine online signals (A/B tests, telemetry) with offline assessments, quantitative metrics, automated evaluations, curated query sets, and targeted human review
- Working closely with research, product, and forward-deployed engineering teams, you will drive fast-paced, data-driven iteration to ensure the product and underlying models evolve quickly and reliably to meet real-world needs
- This role involves close collaboration with fellow product managers, the science organization, GTM, and cross-functional teams across the company
- Engage with our internal business and solution teams, customers and users to gather feedback to understand how our models are used in production or for real world use cases
- Conduct research around new model capabilities
- You will dive into prompt generations, model evaluations and unit tests leveraging tools such as synthetic data pipeline, observability…
- Define and champion the vision and roadmap for our LLM model behavior
- Collaborate with cross-functional teams (science, GTM, product) to make sure our science strategy aligns with business objectives
- Make sure our model releases are well understood by stakeholders
- Build a robust data-flywheel to quickly launch evals on user and customer signals
- Own and support experiments that validate hypotheses around model behavior
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
$544.5m
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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