Research Operations Manager (Science Systems & Operations)

Mistral.ai · Parismid

En corto

▸Gestiona sistemas operativos para que los científicos de IA trabajen sin obstáculos.
▸Crea herramientas automatizadas y dashboards con código para escalar operaciones.
▸El rol clave para conectar la investigación con el despliegue real, a gran escala.

Strong written communication; able to design clear operational processes that other people

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¿Qué piden?

✓4+ años en operaciones de investigación, operaciones técnicas o gestión de infraestructura.
✓Titulación en Ciencias de la Computación, Ingeniería o experiencia equivalente.
✓Pensamiento sistémico: identificar procesos, dependencias y puntos de impacto.
✓Capacidad demostrada de crear herramientas y automatizaciones con scripting, APIs y herramientas modernas.
✓Experiencia con infraestructura en la nube o gestión de proveedores a gran escala.
✓Comunicación escrita clara para diseñar procesos operativos entendibles.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

scriptingAPIsdashboardsautomationscloud systemsvendor managementobservabilityself-service toolingintegrationslightweight data work

¿A quién escribirle en Mistral.ai?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

About Mistral 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. The Role 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 underneath the research: designing clean systems, automating what should be automated, and making sure 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 you 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 own leverage. You enjoy the operational puzzle of making complex systems feel simple to the people using them. 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. Nice to have criteria/ would be ideal if you have/are: 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?

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