Manager, Internal Product Analytics

About the role

The Internal Product Analytics (IPA) team is the analytics backbone of Datadog's Product organization. With over thirty products on a single platform, IPA gives PMs and leadership the data, tooling, platform, and analysis they need to make good decisions. The team owns the recurring analytical work the Product org runs on and builds the AI-first workflows that make that analysis faster and more consistent across the org. As Manager of the Internal Product Analytics team, you will directly manage a team of data analysts, partner closely with the PMs your team serves, and partner with the associated platform engineering teams.

What they're looking for

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• 6+ years in product analytics, data analytics, or a related field, with 2+ years managing or leading a team.
• A strong track record partnering across functions (Product, Finance, Engineering, Data) and aligning stakeholders with different priorities toward shared outcomes.
• Proven ability to partner directly with product managers as their analytics partner, turning product questions into analysis that informs decisions.
• Fluent in SQL and comfortable in a modern data warehouse and BI tooling. You can go from raw data to a defensible answer yourself, not just direct others to do it.
• Hands-on experience building or deploying AI-first analytics: AI-powered workflows, agents, or tooling that speed up real analytical work. Professional use of AI tools such as Claude, including prompt design and putting AI into day-to-day analysis.
• Experience communicating with and presenting to senior leadership at the VP+ level, both in writing and in live settings.
• Comfortable in ambiguous environments where you define the approach, prove value quickly, and iterate, rather than maintain an existing playbook.
• Able to lead through influence rather than authority, building trust and driving outcomes across teams you do not directly manage.
• Experience supporting a product management org or working inside a Product function.
• Familiarity with the modern data stack (for example dbt, Snowflake, semantic layers) and with product data and CRM systems.
• Experience building or deploying AI agents or automated analytical workflows using current frameworks.
• A background in analytics engineering or data platform work.
• Experience with financial and revenue data (ARR, cohort analysis) and partnering closely with Finance.
• Familiarity with Datadog's products and services.
• #LI-Hybrid
• The reasonably estimated yearly salary for this role at Datadog is:$160,000—$200,000 USD