About the role
As a Manager I in Applied AI, you will lead a team of engineers and applied scientists working on one of these challenges. You will define technical direction, run short feedback loops, make deliberate decisions about what to pursue or stop, and work closely with product managers, research teams, and cross-functional partners to ship AI capabilities that matter.
Responsibilities, requirements, fit, evidence and preparation are organized here. The original posting stays available for final verification.
What they’re looking for
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- A people-focused manager with experience leading and mentoring engineers, able to develop strong engineering talent in a fast-moving domain
- A technical leader with deep expertise in one or more areas of AI or machine learning: large language models, retrieval-augmented generation (RAG), semantic search, agentic systems, deep learning, or NLP
- Well-versed in evaluation methodologies for AI systems, both offline benchmarks and online metrics
- A strong product instinct: able to anchor early-stage work in concrete customer problems, define success criteria before writing code, and actively contribute to shaping product direction alongside product and research partners
- Experience taking AI products from 0 to 1 is strongly valued: able to bring structure to early-stage work by scoping clear hypotheses, moving quickly toward signal, and making deliberate decisions about what to pursue, pivot, or stop
- BS/MS/PhD in Machine Learning, Computer Science, Engineering, or related field, or equivalent professional experience
- #LI-Hybrid
How they work
- At Datadog, we place value in our office culture, the relationships and collaboration it builds and the creativity it brings.
- We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
- Participate in hiring and help shape the future team as the organization grows Who You Are A people-focused manager with experience leading and mentoring engineers, able to develop strong engineering talent in a fast-moving domain A technical leader with deep expertise in one or more areas of AI or machine learning: large language models, retrieval-augmented generation (RAG), semantic search, agentic systems, deep learning, or NLP Well-versed in evaluation methodologies for AI systems, both offline benchmarks and online metrics A strong product instinct: able to anchor early-stage work in concrete customer problems, define success criteria before writing code, and actively contribute to shaping product direction alongside product and research partners Experience taking AI products from 0 to 1 is strongly valued: able to bring structure to early-stage work by scoping clear hypotheses, moving quickly toward signal, and making deliberate decisions about what to pursue, pivot, or stop BS/MS/PhD in Machine Learning, Computer Science, Engineering, or related field, or equivalent professional experience #LI-Hybrid About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale.
How to apply
- Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
About Datadog
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