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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Product Manager II - SQL & Sheets Growth - **Company:** Datadog - **Location:** New York, NY, United States - **Experience:** Experienced - **Salary:** $156,000.0 - $195,000.0 - **Contract:** Permanent contract - **Skills:** Query Performance, Business Analytics Applications, Spreadsheets, Database Schema, Interaction Design, Raw Data, SQL Databases, Datadog, Storage Technologies - **Published:** August 9, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=1661e5ae38accf4b ## About the Role * You have experience building customer-facing analytics, BI, notebook, spreadsheet, visualization, or other data-intensive products * You have strong UI and UX judgment. You can reason through information architecture, interaction patterns, progressive disclosure, and the edge cases that make complex tools feel either 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're energized by ambiguity, comfortable forming a point of view with incomplete data, and excited to define problems * You have a strong technical background and can hold your own in conversations about query engines, data schemas, and storage architecture. * You have excellent verbal and written communication skills and the willingness to present and defend your ideas to technical stakeholders and executives alike * 4+ years product experience ## Description This role owns the product direction and user experience for both products. Your 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. Doing this well requires more than adding analytical features. Real-world analysis involves nuanced decisions about data models, joins, aggregations, time windows, missing data, query performance, and the transition from exploration to reusable work. You'll work closely with design and engineering to make these capabilities understandable without limiting their analytical power. You'll also help expand the data customers can analyze in Datadog, including third-party and business data alongside operational telemetry. This will make DDSQL and Sheets central analytical tools for a broader range of questions and users. What you'll do: * Own DDSQL and Sheets end to end: roadmap, adoption, and growth strategy * Partner closely with design to establish a high bar for information architecture, interaction design, and visual polish across complex analytical workflows * Use product analytics and customer research to identify friction, improve onboarding, and measure whether users are reaching useful answers faster * Define the experience for querying, transforming, visualizing, and sharing data, from query composition and results exploration to errors, performance feedback, and collaboration * Define and execute the strategy for bringing third-party data into Datadog: from market research and use-case definition through pricing * Expand Datadog SQL from a standalone editor into a platform-wide query capability on all graphs * Redesign how users discover and get started with Graphing products: rethink list pages, build onboarding flows, and create entry points that don't assume prior Datadog expertise * Identify and pitch net-new investment areas for the Graphing suite: new products, new personas, or new capabilities that emerge from what you learn scaling DDSQL and Sheets ## Related Videos - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Launching a marketplace on-time: A lesson in taking shortcuts using spreadsheets!](https://www.wearedevelopers.com/videos/477-launching-a-marketplace-on-time-a-lesson-in-taking-shortcuts-using-spreadsheets) - [Debugging in the Dark](https://www.wearedevelopers.com/videos/1658-debugging-in-the-dark) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [From Global Capability Centers to AI-Powered Command Centers](https://www.wearedevelopers.com/videos/100096-from-global-capability-centers-to-ai-powered-command-centers) - [The Innovation Formula: Fast Prototyping, Data Analysis, and Real User Insights](https://www.wearedevelopers.com/videos/1421-the-innovation-formula-fast-prototyping-data-analysis-and-real-user-insights) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Dev Digest 139 - Soft and hard queries](https://www.wearedevelopers.com/magazine/487-dev-digest-139-soft-and-hard-queries) - [What is product discovery and why do developers need it?](https://www.wearedevelopers.com/magazine/517-what-is-product-discovery-and-why-do-developers-need-it) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Why developer experience matters](https://www.wearedevelopers.com/magazine/514-why-developer-experience-matters)