Technical Program Manager, Science Operations - Paris

Mistral AI•Paris, ID 83223, US• Full Time

Posted 2 weeks ago• Business & Finance

Job Description

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.

Mistral AI participates in the E-Verify program

Role Summary

We are looking for a Technical Program Manager to build and drive the execution engine of our science organization.

In this role, you will design and operationalize the systems, workflows, and processes that turn research goals into measurable, coordinated execution. You will ensure projects move from idea to impact with clarity, discipline, and alignment - tracking workstreams precisely, surfacing dependencies early, and maintaining momentum across teams.

This role sits at the intersection of program management, technical operations, and research. You will partner closely with scientists and engineers to bring structure and visibility to complex initiatives, streamline delivery, and ensure our teams stay focused on what they do best - advancing the frontier of AI.

What you will do

• Execution & Release Operations: Design and own systems for tracking ongoing pretraining and posttraining releases - providing real-time visibility into readiness, trade-offs, and impact. Evolve ad-hoc efforts into systematic release operations that enable disciplined, high-velocity execution.

• Strategic Planning & Roadmapping: Partner with science leads to translate research goals into actionable, company-aligned roadmaps. Frame scientific capabilities in business-relevant terms and ensure that priorities are consistently communicated and understood across teams.

• Operational Unblocking & Coordination: Keep science moving - anticipate and clear roadblocks, streamline cross-functional coordination, and maintain momentum. Own GPU allocation and quota management to ensure compute resources are scaled and accessible when needed.

• Visibility & Communication Cadence: Drive structured communication loops - own the bi-weekly science updates, science all-hands, and company-wide digests. Synthesize inputs into clear, high-signal narratives that inform leadership and align the broader organization.

• Learning & Continuous Improvement: Run retrospectives after major sprints and releases, distilling insights into repeatable systems. Refine processes, templates, and feedback loops to strengthen organizational learning and operational excellence over time.

About you

• Experience in research-heavy or ML/AI organizations.

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.

• 3+ years of experience in technical program management, operations, or research coordination.

• Strong analytical and problem-solving skills with experience in structuring ambiguous projects into clear deliverables.

• Proven ability to drive cross-functional initiatives and manage complex stakeholder landscapes.

• Excellent written and verbal communication skills; ability to synthesize technical detail into clear, strategic updates.

Nice to have:

• Familiarity with model development pipelines (pretraining, posttraining, release readiness).

• Experience managing infrastructure workflows (API keys, quota, access).

• Track record of building systemic processes from the ground up.

• Comfort working in fast-paced, high-ambiguity environments where priorities shift quickly.