Technical Program Manager, Science Operations - Paris

Mistral AI Mistral AI · AI Frontier · Paris, France · Research

Technical Program Manager to build and drive the execution engine of Mistral AI's science organization. This role involves designing and operationalizing systems, workflows, and processes to translate research goals into measurable, coordinated execution, ensuring projects move from idea to impact with clarity and discipline. The role sits at the intersection of program management, technical operations, and research, partnering with scientists and engineers to bring structure and visibility to complex initiatives, streamline delivery, and manage GPU allocation.

What you'd actually do

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.

Skills

Required

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

What the JD emphasized

  • pretraining and posttraining releases
  • GPU allocation and quota management
  • structured communication loops
  • research coordination

Other signals

  • operationalize systems and workflows for research execution
  • track pretraining and posttraining releases
  • manage GPU allocation and quota
  • drive structured communication loops for science updates