Research Operations Manager (Science Systems & Operations)
Standard baseline compensation
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Paris
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Job Description & Specifications
Official role breakdown, eligibility standards, and core responsibilities
Research Operations Manager (Science Systems & Operations) at Mistral.ai
📍 Paris
What will you do
- Systems for Scale: Build and operate the shared infrastructure that lets research run smoothly - resource systems, data systems, tooling, observability. Design the operational layer that lets science scale without drag.
- Automation & Tooling: Use modern coding tools to build the internal automations that make Science Ops itself leverage-able - dashboards, integrations, self-service tooling, alerts. You'll be expected to build rather than just specify.
- Hiring & Onboarding Operations: Own the operational side of growing the science organization - interview logistics, leveling consistency, onboarding experience. Make sure every new hire is productive on day one, not day sixty.
- Cross-Functional Systems Partner: Partner with Finance, Legal, Security, and Engineering on the systems where science intersects with the rest of the company. Keep these interfaces clean and scale them as the organization grows.
- Strategic Communication: Translate the team's work into clear, well-timed updates for leadership and adjacent teams - what's being built, what matters, what's coming next.
What We're Looking For
Nice to have criteria/ would be ideal if you have/are:
- 4+ years of experience in research operations, technical operations, infrastructure program management, or a comparable systems-oriented role
- Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience
- Strong systems thinking - you naturally see processes, dependencies, and leverage points
- Demonstrated ability to build your own tools and automations using modern coding assistants; comfortable with scripting, APIs, and lightweight data work
- Experience working with infrastructure, cloud systems, or vendor management at scale
- Strong written communication; able to design clear operational processes that other people can actually follow
- Experience in research-heavy or ML/AI organizations
- Background in platform engineering, site reliability, or infrastructure operations - with an operational rather than pure-engineering orientation
- Comfort working across Finance, Legal, Security, and People teams
- Track record of taking an ambiguous space and turning it into a small number of well-designed systems that compound over time
Why Join Us?
- Shape how frontier AI is built and released: You’ll design and operate the systems that connect scientific discovery to real-world deployment - ensuring our work scales with clarity, reliability, and speed
- Work inside the Science OS: Join a team building the operational backbone of Mistral’s science organization - where structure meets creativity and processes evolve through use, not bureaucracy
- Drive visible, high-leverage impact: Your work will sit at the intersection of research, engineering, and leadership - turning complexity into alignment and enabling confident, data-informed decisions across the company
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Required Skills / Keywords: Science
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