About Mistral

At Mistral AI, we believe in the power of AI to simplify tasks, save time and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.

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 France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.

Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.

Role summary

At Mistral AI, we are building cutting-edge large language models and AI solutions that push the boundaries of technology. Our team is growing, and we are looking for a Product Operations Manager to help us create structures and processes for long-term success and bridge the gap between our Product, Go-To-Market (GTM), Engineering, Science, and Finance/Legal teams. This role is critical to ensuring seamless collaboration, data-driven decision-making, and efficient product development processes.

The scope of the Product Operations Team is around four key pillars:

• GTM x Product Collaboration – Aligning what we build with how we sell.
• Product Development Processes – Optimizing how we build efficiently.
• Product Metrics & Analysis – Driving market and product insights.
• Pricing & Packaging – Defining frameworks and experiments for monetization.
  If you thrive in a fast-paced, collaborative environment and have a passion for operational excellence, we’d love to hear from you.

What you will do

Depending on your skills and field of expertise, you will be involved in key components of our technology, including:

GTM x Product Collaboration:

• Drive seamless collaboration between GTM and Product by ensuring data transparency (field engagements, customer deals, product performance)
• Establishing structured feedback loops to integrate GTM insights
• Leading product discovery
• Translating roadmaps into actionable GTM communications
• Coordinating releases (customer/revenue enablement)
• Managing early-access programs
• Optimizing collaboration processes (operating rhythms, tools, workflows)

Product Development Processes:

• Support creation of product rituals (planning, reviews, OKRs)
• Automate and optimize internal processes
• Ensure smooth release coordination between Product, Engineering, and Science teams

Product Metrics & Analysis:

• Partner with Data Science and Engineering to build dashboards and derive actionable product insights

Pricing & Packaging:

• Partner with GTM, Marketing and Finance to help define pricing frameworks
• Structure packaging strategies for market fit and align leadership on pricing decisions

About you

• 5+ years in Product Operations, Product Management, a Chief of Staff / Strategy / Operations Role (preferably in AI or deep tech) or Management Consulting.
• Strong analytical skills
• Process-driven mindset with a passion for creating workflows and tooling
• Exceptional communication skills – ability to translate complex ideas into clear, actionable insights.
• Collaborative spirit – comfortable working with Product, GTM, Engineering, Science, and Finance teams.
• Bias for action – proactive in identifying and solving operational challenges.
• Fluency in English (French is a plus).

Now, it would be ideal if you have :

• Ability to code / create.
• Experience in AI/ML, pricing strategy, or early-stage startup environments.
• Familiarity with Product Rituals, OKRs, and product analytics tools.
• Background in consulting, finance, or data science.

Hiring Process

• Introduction call - 45 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 a case study presentation - 60 min
• Culture-fit discussion - 30 min
• Reference checks