Research Operations Manager (Science Systems & Operations)

Mistral

Paris

Sur place

EUR 110 000 - 150 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Competitive cash salary and equity

Daily lunch vouchers

Gympass subsidy

Mobility pass subsidy

Full health insurance for you and your

Generous parental leave

Visa sponsorship

Résumé du poste

Mistral AI is hiring a Research Ops Manager to build and operate the shared systems that enable our science organization to move fast at scale. You’ll own the operational layer under research: designing clean systems, automating tasks, and ensuring researchers focus on science, not infrastructure.

You’ll combine coding, dashboards, and integrations to automate workflows, while partnering with Finance, Legal, Security, and Engineering to keep interfaces scalable and well‑documented.

Qualifications

4+ years of experience in research operations, technical operations, infrastructure program management, or 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.

Responsabilités

Build and operate the shared infrastructure that lets research run smoothly – resource systems, data systems, tooling, observability.
Use modern coding tools to build internal automations that make Science Ops leverage‑able – dashboards, integrations, self‑service tooling, alerts.
Own the operational side of growing the science organization – interview logistics, leveling consistency, onboarding experience.
Partner with Finance, Legal, Security, and Engineering on the systems where science intersects with the rest of the company.
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.

Connaissances

Strong systems thinking

Scripting & APIs

Written communication

Automation tooling

Infrastructure & cloud experience

Formation

Bachelor’s degree in Computer Science or Engineering

Outils

APIs

Dashboards

Automation tooling

Cloud platforms

Description du poste

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 as well as personal needs. Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute – a suite that brings frontier intelligence to end‑users.

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.

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Role Summary

We’re hiring a Research Ops Manager to build and operate the shared systems that let Mistral’s science organization move fast at scale. This role sits at the platform layer of Science Ops – the compute, data, access, vendor, and tooling systems that serve every research team. You’ll own the operational layer that sits underneath the research: designing clean systems, automating what should be automated, and ensuring researchers spend their time on science, not infrastructure overhead.

The ideal candidate is someone who is genuinely excited by problems at scale. You see a manual process and think about how to automate it. You’re fluent with modern coding tools – you vibe‑code your own dashboards, scripts, and integrations to multiply your leverage. You enjoy the operational puzzle of making complex systems feel simple to the people using them.

What you’ll 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.

About you

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.

Nice to have

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.

Benefits