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Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms.
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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
We are expanding our Product Operations function to help our product organisation scale. As a Product Operations Manager, you will design processes, tools and data infrastructure that improve alignment between Product, Engineering and Go‑To‑Market teams. You will enable seamless collaboration, accelerate feedback loops and coordinate launches, reporting to Gianna Lengyel. The role is based in Paris with a global scope.
Drive data and analytics – Ensure transparent reporting on customer engagements and product usage; work with Data Science to develop dashboards and insights for product decisions.
Manage feedback loops and discovery – Build structured processes to collect and analyse product feedback; run early access programmes and design partner tests.
Coordinate launches – Orchestrate product releases and enterprise launches, aligning product managers, marketers, engineers and legal teams.
Build product rituals – Shape planning, review and OKR routines; introduce tooling to streamline documentation and knowledge sharing.
Maintain product catalogue and documentation – Partner with technical writers to keep documentation current and accessible.
Standardise release cycles – Coordinate with Engineering and Science teams to manage release timelines and ensure reliability.
5+ years in product operations, product management or strategy/operations roles (e.g., chief of staff, consulting) in deep‑tech or AI environments.
Comfortable working with data and analytics; able to turn usage data and feedback into actionable insights.
Strong cross‑functional collaborator; experienced in aligning product, engineering, marketing and sales teams around shared priorities.
Process‑oriented mindset; skilled at building repeatable workflows and release processes.
Excellent communication skills and ability to influence stakeholders at all levels.
Fluency in English; French is a plus.
Bonus: experience with AI/ML products, pricing and packaging strategies, or consulting/finance backgrounds.
Our recruitment process is designed to assess your fit for the role and give you a sense of our culture:
Introduction call – 30 min
Hiring manager interview – 30 min
Interview with the product management team – 30 min
Interview with the Solutions team – 30 min
Deep‑dive interview with case study presentation – 60 min
Culture‑fit discussion – 30 min
Reference checks
Location & Remote
The position is based in our Paris HQ offices and we encourage going to the office as much as we can (at least 3 days per week) to create bonds and smooth communication. Our remote policy aims to provide flexibility, improve work-life balance and increase productivity. Each manager can decide the amount of days worked remotely based on autonomy and a specific context (e.g. more flexibility can occur during summer). In any case, employees are expected to maintain regular communication with their teams and be available during core working hours.
By applying, you agree to our Applicant Privacy Policy.
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page.
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.