At a Glance
- Tasks: Build and operate systems that streamline research processes and enhance efficiency.
- Company: Join Mistral AI, a pioneering company transforming the future of AI.
- Benefits: Competitive salary, equity, health insurance, and generous parental leave.
- Other info: Dynamic team culture with opportunities for growth and innovation.
- Why this job: Shape how frontier AI is built and make a real impact in research.
- Qualifications: 4+ years in research operations or technical roles; strong coding and systems thinking skills.
The predicted salary is between 60000 - 80000 £ per year.
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 democratise AI through high-performance, optimised, 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.
Role Summary
We're hiring a Research Ops Manager to build and operate the shared systems that let Mistral's science organisation 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 organisation - 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 organisation 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 criteria/ would be ideal if you have/are:
- Experience in research-heavy or ML/AI organisations
- 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 organisation - 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
- France 💰 Competitive cash salary and equity
- 🥕 Food : Daily lunch vouchers
- 🥎 Sport : Monthly contribution to a Gympass subscription
- 🚴 Transportation : Monthly contribution to a mobility pass
- 🧑 ⚕️ Health : Full health insurance for you and your family
- 🍼 Parental : Generous parental leave policy
- 🌎 Visa sponsorship
Research Operations Manager (Science Systems & Operations) in London employer: Mistral AI
At Mistral AI, we pride ourselves on being an exceptional employer that fosters a dynamic and collaborative work culture, where innovation thrives and every team member's contributions are valued. Located in France, we offer competitive salaries, generous benefits including full health insurance, daily lunch vouchers, and a supportive environment for personal and professional growth, making it an ideal place for those passionate about shaping the future of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Research Operations Manager (Science Systems & Operations) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Mistral AI. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve built any cool tools or automations, bring them up in conversations. It’s all about demonstrating how you can make life easier for the research teams.
✨Tip Number 3
Prepare for interviews by thinking about how you’d tackle operational challenges at scale. Mistral loves problem solvers, so come ready with ideas on how to streamline processes.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen and shows you’re genuinely interested in joining the Mistral team.
We think you need these skills to ace Research Operations Manager (Science Systems & Operations) in London
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI shine through! We want to see how excited you are about the potential of AI to transform society and simplify tasks. Share any relevant experiences or projects that highlight your passion.
Be Clear and Concise:We appreciate straightforward communication, so make sure your application is easy to read. Use clear language and avoid jargon where possible. Highlight your skills and experiences in a way that’s digestible and engaging for us.
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to the Research Operations Manager role. Mention specific skills and experiences that align with what we’re looking for, especially around systems thinking and automation.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Mistral AI
✨Know Your Systems
Familiarise yourself with the systems and tools mentioned in the job description. Understand how they integrate into research operations and be ready to discuss your experience with similar systems. This shows you’re not just a fit for the role, but that you can hit the ground running.
✨Showcase Your Automation Skills
Prepare examples of how you've automated processes in previous roles. Be specific about the tools you used and the impact it had on efficiency. Mistral values innovation, so demonstrating your ability to simplify complex tasks will resonate well.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. Since the role involves strategic communication, being able to convey complex ideas clearly will be crucial. Consider preparing a brief presentation or summary of a past project to showcase this skill.
✨Emphasise Collaboration
Highlight your experience working cross-functionally with teams like Finance, Legal, and Engineering. Mistral is looking for someone who can navigate these relationships smoothly, so share examples of how you’ve successfully collaborated in the past.
