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Salary: USD 156,000 - 195,000 / annual
Datadog is seeking a Product Manager II to own the product direction and user experience for DDSQL and Sheets, two of the newest products within Graphing—Datadog's most-used product area. These products give customers flexible ways to query, combine, analyze, visualize, and share data across Datadog.
In this role, you will own the complete product lifecycle: roadmap, adoption, and growth strategy for both DDSQL and Sheets. Your primary goal is to help users move from raw data to trustworthy answers quickly, whether they prefer writing SQL, working in a spreadsheet, or building visual analyses.
Key responsibilities include:
- Partnering closely with design to establish high standards for information architecture, interaction design, and visual polish across complex analytical workflows
- Using product analytics and customer research to identify friction points, improve onboarding, and measure whether users are reaching useful answers faster
- Defining the end-to-end experience for querying, transforming, visualizing, and sharing data—from query composition and results exploration to error handling, performance feedback, and collaboration
- Developing and executing strategy for bringing third-party and business data into Datadog alongside operational telemetry
- Expanding DDSQL from a standalone editor into a platform-wide query capability available on all graphs
- Redesigning how users discover and get started with Graphing products, including rethinking list pages, building onboarding flows, and creating entry points for users new to Datadog
- Identifying and pitching net-new investment areas for the Graphing suite, including new products, personas, or capabilities
You should have 4+ years of product management experience, ideally building customer-facing analytics, BI, notebook, spreadsheet, visualization, or other data-intensive products. Strong UI/UX judgment is essential—you can reason through information architecture, interaction patterns, progressive disclosure, and the edge cases that make complex tools feel excellent or frustrating. You are analytically hands-on and comfortable using SQL, spreadsheets, BI tools, or notebooks to explore data and answer your own product questions. You have a strong technical background and can hold your own in conversations about query engines, data schemas, and storage architecture. You thrive in ambiguity, can form a point of view with incomplete data, and are excited to define problems. Excellent verbal and written communication skills are required, along with the willingness to present and defend your ideas to technical stakeholders and executives.
