Manager I, Engineering - APM Retrieval

The APM Retrieval team is a strategic platform team shaping how APM data is queried, surfaced, and used in the age of AI. This engineering leader will guide a team responsible for the query path for traces and spans search that powers the Datadog UI, while also leading the evolution of the APM MCP Toolset that enables agentic workflows with access to APM telemetry and intelligence, including metrics, spans, traces, service health, and related capabilities. This role offers the opportunity to lead a future-facing API platform at the intersection of distributed systems, developer experience, and AI-powered product development. The person in this role will help define how Datadog exposes APM intelligence across MCP tools, skills, CLI interfaces, and other emerging surfaces as the ecosystem evolves. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead and develop a team building and operating core APM retrieval services that power traces and spans search in the Datadog UI Define technical direction and execution priorities for the APM MCP Toolset and related interfaces that support internal and external agentic workflows Drive cross-functional alignment with platform, storage, frontend, and AI-focused teams to prioritize high-impact platform capabilities Establish and measure success through operational and product KPIs such as token efficiency, discoverability, usage, performance, and downstream task outcomes Own the reliability, deployment, and operational excellence of critical APM services, including services running in ITAR-compliant environments Mentor engineers through hands-on technical leadership, clear accountability, and a strong culture of execution, learning, and continuous improvement Who You Are: You have experience managing engineering teams building backend or platform systems at scale You bring strong technical depth in distributed systems, APIs, service operations, and production reliability You have experience working with observability platforms and operating services with clear availability, performance, and quality goals You are comfortable leading in fast-evolving technical spaces and can translate emerging AI or platform trends into pragmatic team direction You have a track record of driving cross-team prioritization across multiple stakeholders and downstream consumers You are an inclusive people leader who supports engineer growth across experience levels through coaching, feedback, and high standards Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply. To conform to US export control regulations, candidates should be eligible for any required authorizations from the US government. This job is available in various departments within our company; to conform to US export control regulations, some of these roles may require candidates to be eligible for any required authorizations from the US government. #LI-Hybrid Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $187,000 $240,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of gr ... (truncated, view full listing at source)