Build AI-first analytics. Design and ship AI-powered workflows and agents that do the heavy lifting of analysis, from data querying to synthesis to reporting. Set the standard for how the team uses AI so analysis scales without simply adding headcount.
Partner across functions. Work with Finance, Data Platform, Engineering, and Revenue teams to align on definitions, source the right data, and turn raw signals into decisions. Build trust with partners who do not report to you.
Turn data into decisions for leadership. Query product, CRM, and financial data to surface the insights that matter, then present them clearly to PMs and senior leadership so they can act with confidence.
Set the standard for product analytics across the org. Define the metrics, definitions, and analytical frameworks that leadership and every PM rely on, and own them as the single source of truth the Product org trusts.
Who You Are
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.
Preferred Qualifications
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
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
$160,000—$200,000 USD
About Datadog
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
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