Applied AI Engineering Manager—Scale & Impact

Datadog, Inc.

New York (NY)

Hybrid

USD 192,000 - 240,000

Full time

14 days+
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Benefits offered by this job

New hire stock equity
Employee stock purchase plan
Continuous professional development
Inclusive culture
Spring Health benefits
Competitive global benefits
Giving programs

Job summary

Datadog, Inc. is seeking an Engineering Manager I in Applied AI to lead a team of engineers and applied scientists building AI foundations and agentic systems at scale.

You will collaborate with product managers, researchers, and cross-functional partners to shape bets, define success criteria, and drive end-to-end delivery from research to production. The role emphasizes quality, latency, cost, and safety considerations.

Qualifications

  • Proven ability to lead and mentor engineers in fast-moving AI domains.
  • Strong technical leadership in AI/ML areas such as LLMs, RAG, semantic search, or NLP.
  • Experience designing and evaluating AI systems with offline and online metrics.
  • Clear product instinct and ability to frame problems and drive direction with stakeholders.

Responsibilities

  • Lead and develop a team of engineers and applied scientists focused on building scalable AI foundations.
  • Shape bets from framing through adoption with cross-functional partners; define success criteria at each stage.
  • Own end-to-end delivery of AI systems from research to production-grade reliability and performance.

Skills

People management
AI/ML leadership
Evaluation methodologies
Product strategy
AI product lifecycle

Education

BS/MS/PhD in ML, CS, Eng or related

Job description

Datadog, Inc. is seeking an Engineering Manager I in Applied AI to lead a team of engineers and applied scientists building AI foundations and agentic systems at scale.

You will collaborate with product managers, researchers, and cross-functional partners to shape bets, define success criteria, and drive end-to-end delivery from research to production. The role emphasizes quality, latency, cost, and safety considerations.

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