Technical Program Manager, Science Operations

Mistral.ai · Parismid

En corto

▸Gestiona la ejecución técnica de proyectos de investigación de IA con enfoque en lanzamientos y procesos sistemáticos.
▸Colabora con científicos y equipos técnicos para traducir metas de investigación en planes accionables y alineados con la empresa.
▸Destaca por crear sistemas operativos desde cero en entornos de alta incertidumbre y velocidad.

Excellent written and verbal communication skills; ability to synthesize technical detail

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¿Qué piden?

✓3+ años en gestión técnica de programas, operaciones o coordinación de investigación
✓Experiencia estructurando proyectos ambiguos en entregables claros
✓Habilidades analíticas y de resolución de problemas avanzadas
✓Capacidad probada para liderar iniciativas transversales y gestionar múltiples partes interesadas
✓Comunicación escrita y verbal excepcional para resumir detalles técnicos en mensajes estratégicos
✓Experiencia previa en organizaciones de IA o ML, idealmente con pipelines de desarrollo de modelos

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

Model development pipelinesPretrainingPosttrainingRelease readinessGPU allocationQuota managementAPI keysInfrastructure workflowsBi-weekly science updatesScience all-hands

¿A quién escribirle en Mistral.ai?

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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 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. We are currently hiring across a range of Technical Program Manager roles, varying in scope and seniority. Candidates will be evaluated and matched to the role that best aligns with their experience and strengths. What will you 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. Nice to have criteria/ would be ideal if you have/are: 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 pri

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