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Datadog's Applied AI team is building ambitious AI products that move from research to production at scale, including Bits Chat and updog. As Engineering Manager I, you will lead a team of engineers and applied scientists focused on one of the team's core challenges: building foundations for agentic systems that operate reliably in complex production environments.
You will define technical direction, run tight feedback loops, and make deliberate decisions about what to pursue, pivot, or stop. You'll work closely with product managers, research teams, and cross-functional partners to ship AI capabilities that matter to customers.
Key responsibilities include:
- Leading and developing a team of engineers and applied scientists focused on agents operating at scale
- Owning end-to-end delivery of high-quality AI systems from research exploration through production-grade reliability
- Navigating the unique challenges of shipping AI products: balancing quality, latency, cost, and safety
- Driving evaluation and iteration practices for AI systems, defining quality bars and building offline/online evaluation pipelines
- Supporting career growth through coaching, feedback, and fostering a culture of experimentation and learning
- Participating in hiring and shaping the team as the organization grows
You bring deep expertise in AI/ML (LLMs, RAG, semantic search, agentic systems, NLP, or deep learning), strong people-management skills, and experience taking AI products from 0 to 1. You're well-versed in evaluation methodologies for AI systems and have a strong product instinct for anchoring early-stage work in concrete customer problems. A BS/MS/PhD in ML, CS, Engineering, or equivalent professional experience is expected.
Datadog operates as a hybrid workplace, valuing office culture and collaboration while supporting work-life harmony. The company offers competitive equity (RSUs, ESPP), professional development, inclusive benefits including Spring Health, and giving programs.
