Applied AI Manager: Lead Efficient, Production‑Ready ML

Datadog

Paris

Sur place

EUR 120 000 - 180 000

Plein temps

14 jours+

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Résumé du poste

Datadog is seeking a people-focused leader to build and guide a team of engineers and applied scientists in cost-efficient AI models and security capabilities. You will collaborate with product managers, researchers, and cross-functional partners to shape bets from framing to broad adoption, with clear success criteria.

You will own end-to-end delivery of AI systems from research exploration to production-grade reliability, ensuring operational excellence, performance, and safety.

Qualifications

  • Experience leading engineers and applied scientists in fast-moving AI domains.
  • Deep expertise in AI/ML areas such as large language models, retrieval-augmented generation, semantic search, agentic systems, deep learning, or NLP.
  • Strong evaluation methodologies for AI systems, including offline benchmarks and online metrics.
  • Clear product intuition: framing hypotheses, defining success criteria, and guiding direction with partners.

Responsabilités

  • Lead and mentor a team of engineers and applied scientists focused on cost-efficient specialized models and AI security capabilities.
  • Shape team bets with product managers and research teams from initial framing to broad adoption, with measurable success criteria at each stage.
  • Own end-to-end delivery of AI systems from early research to production-grade reliability and operational excellence.
  • Contribute to hiring and career growth, fostering experimentation and learning across the AI organization.

Connaissances

People management
AI/ML expertise
Product instinct
Evaluation methodologies

Formation

BS/MS/PhD in Machine Learning, Computer Science, Engineering, or related field

Description du poste

Datadog is seeking a people-focused leader to build and guide a team of engineers and applied scientists in cost-efficient AI models and security capabilities. You will collaborate with product managers, researchers, and cross-functional partners to shape bets from framing to broad adoption, with clear success criteria.

You will own end-to-end delivery of AI systems from research exploration to production-grade reliability, ensuring operational excellence, performance, and safety.

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