About the role

Technical Program Manager responsible for executing Mistral’s model release systems. Involves designing processes, managing communications, and ensuring operational effectiveness.

Responsibilities

Release Systems & Execution: Design, operate, and evolve the systems that power Mistral’s model releases - from pretraining to deployment. Ensure that dependencies, documentation, and communications flow seamlessly, transforming launches into a structured, high-velocity operational rhythm.
Process Design & Continuous Improvement: Own and refine the frameworks and tools that support release operations - from readiness checks to coordination templates. Run retrospectives after major launches and translate insights into system-level improvements that strengthen discipline and efficiency over time.
Operational Alignment & Momentum: Keep the release machine moving - anticipate and clear blockers, align stakeholders across science, engineering, and product, and ensure every launch stays coordinated, timely, and well-supported.
Model Provenance & Governance: Guarantee each model has a complete, auditable trail - from training lineage to deployment details. Maintain transparent documentation standards that enable trust, reproducibility, and accountability across teams.
Visibility & Communication Cadence: Own the release comms layer - driving structured updates that surface progress, trade-offs, and risks in real time, enabling clear and confident decision-making across the organization.

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