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Manager I, Applied Science - Frontier Agentic Models

Datadog· Engineering
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New York, NY$192k - $240kfull-timePosted 6mo ago

About the role

Applied AI manager role leading a team of engineers and applied scientists to build and scale agentic AI capabilities, with end-to-end delivery from research to production in a hybrid work environment.

Responsibilities

  • Lead and develop a team of engineers and applied scientists focused on building the foundations for agents operating at scale
  • Work closely with product managers, research teams, and cross-functional partners to shape the team's bets from initial framing through to broader adoption, with a clear definition of success criteria at each stage
  • Own end-to-end delivery of high-quality AI systems, from early research exploration to production-grade reliability, with high standards for operational excellence, system reliability, and technical quality
  • Navigate the challenges of shipping AI-powered products: balancing quality, latency, cost, and safety considerations; drive evaluation and iteration practices for AI systems: define the quality bar and guide the team in building offline and online evaluation pipelines
  • Contribute to cross-team collaboration and knowledge sharing across the broader AI organization
  • Support career growth for engineers through coaching, feedback, and fostering a culture of experimentation, innovation, and learning; participate in hiring and help shape the future team as the organization grows

Qualifications

  • BS/MS/PhD in Machine Learning, Computer Science, Engineering, or related field, or equivalent professional experience
  • A people-focused manager with experience leading and mentoring engineers
  • Technical leader with deep expertise in AI/ML areas (LLMs, RAG, semantic search, agentic systems, deep learning, NLP)
  • Well-versed in evaluation methodologies for AI systems (offline benchmarks and online metrics)
  • Strong product instinct: ability to anchor early-stage work in customer problems and define success criteria
  • Experience taking AI products from 0 to 1 and moving quickly toward signal
  • Datadog values diverse backgrounds; willingness to apply even if not all qualifications are met

Skills

Required:People managementAI/ML leadershipEvaluation methodologies for AI systems

Benefits

  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
  • Continuous professional development, product training, and career pathing
  • Inclusive culture with Community Guilds
  • Free, global Spring Health benefits for employees and dependents age 6+
  • Competitive global benefits
  • Giving programs
  • Benefits may vary by country and employment type
Last updated Oct 22, 2026. Interested? Apply on the company site.

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