Applied AI Manager - Distilled Models

Datadog, Inc.

Paris

Hybrid

EUR 120.000 - 180.000

Vollzeit

14 Tage+
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Benefits dieser Stelle

Hybrid work model

Zusammenfassung

Datadog is seeking a Manager I in Applied AI to lead engineers and applied scientists in building cost-efficient, secure AI capabilities. You will define direction, run rapid feedback loops, and collaborate with product managers, research teams, and cross-functional partners to ship impactful AI features.

You will mentor talent, help set hiring strategies, and steer projects from framing through broader adoption, ensuring high standards for quality, latency, and safety.

Qualifikationen

  • Experience leading engineers and applied scientists in fast-moving AI projects.
  • Strong expertise in one or more AI/ML areas like LLMs, RAG, semantic search, or NLP.
  • Proven ability to define direction, set success criteria, and ship AI capabilities.

Aufgaben

  • Lead and develop a team of engineers and applied scientists focused on cost-efficient models and AI security capabilities.
  • Collaborate with product managers, research teams, and cross-functional partners to frame bets and drive adoption.
  • Own end-to-end delivery of AI systems from research to production with high reliability and quality.
  • Define evaluation pipelines for offline and online quality to detect drift and measure performance.
  • Foster cross-team knowledge sharing and support career growth through coaching and hiring input.

Kenntnisse

People management
AI/ML expertise
Evaluation methodologies
Product instinct
Hiring & mentoring

Ausbildung

BS/MS/PhD in ML, CS, Eng

Jobbeschreibung

Datadog is seeking a Manager I in Applied AI to lead engineers and applied scientists in building cost-efficient, secure AI capabilities. You will define direction, run rapid feedback loops, and collaborate with product managers, research teams, and cross-functional partners to ship impactful AI features.

You will mentor talent, help set hiring strategies, and steer projects from framing through broader adoption, ensuring high standards for quality, latency, and safety.

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