Staff Product Designer - Metrics

We're looking for a Staff Product Designer to shape the next generation of Datadog Metrics—a foundational product that powers a range of core Datadog products from Dashboards to Infrastructure to Real User Monitoring. You'll lead design across the workflows customers use to see where their metrics come from, investigate cost and cardinality, and govern their telemetry at scale.

This role sits at the heart of a deeply technical platform. You'll partner with product managers, engineers, researchers, and designers across many of the teams that emit, consume, or depend on metrics. Your work will define how customers reason about, troubleshoot, and govern one of the highest-volume and most foundational data sets in observability.

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 the most ambiguous, 0-to-1 problems in the Metrics space — framing the problem, shipping early bets, and shaping new product surfaces from concept through launch

• Partner with engineering and product on deeply technical subject matter and translate that complexity into simple experiences that hold up across our diverse customers

• Design, prototype, and validate flows that scale across many variations of one user journey, accounting for how customers of vastly different sizes and tech stacks experience the product.

• Communicate your design work and support for your design decisions internally to your product teams, leadership, and the broader design organization

• Take a strategic role in shaping the direction of Metrics, advocating for design as a multiplier of engineering velocity and organizational alignment

• Advocate for systems thinking and champion design quality across the organization

Who You Are:

• You have 10+ years of experience in product design

• Your portfolio includes a proven track record of leading end-to-end design on ambiguous, technically deep problems, with clear evidence of decisions grounded in user data.

• You're fluent in the technical subject matter your product depends on — comfortable reasoning about data structures, system architectures, and the tradeoffs that come with scale — and you can collaborate as a peer with engineering on those tradeoffs.

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