Description
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 Maria Lengyel. The role is based in Paris with a global scope.
Key responsibilities include:
- 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.
About you:
- 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.
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://jobs.lever.co/mistral/ef656934-7246-4d93-b341-c907c348c444