Senior Product Manager, SQL & Sheets Growth at Datadog in New York, NY

Datadog SQL (DDSQL) and Sheets are two of the newest products in Graphing (Datadog's most-used product area). Both have early traction and strong conviction behind them, but neither has reached its full audience yet. This role owns both products and has one primary job: figure out what drives their growth, and make it happen.

That means understanding who uses these products today, who should be using them but isn't, and what's standing in the way. You'll own the end-to-end adoption funnel, and you'll have the latitude to pull whatever levers are needed: improving onboarding, bringing in new data sources, redesigning discovery, expanding where and how these products surface across Datadog, or building entirely new capabilities.

As you develop a deep understanding of what makes these products grow, you'll also be expected to identify new bets for the broader Graphing suite. The person closest to how users adopt and get value from analytical tools is in the best position to see what's missing: new products, new personas, new use cases that Datadog isn't serving today.

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:

• Own DDSQL and Sheets end to end: roadmap, adoption, and growth strategy
• Define and execute the strategy for bringing third-party data into Datadog: from market research and use-case definition through pricing
• Understand and improve the adoption funnel for both products: instrument key flows, analyze where users activate or drop off, run experiments, and ship product changes that measurably grow usage
• Expand Datadog SQL from a standalone editor into a platform-wide query capability on all graphs
• Identify and pitch net-new investment areas — adjacent products, new personas, or expansion opportunities — that grow Graphing's footprint beyond its current scope
• 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

Who you are:

• You're comfortable with 0→1 and expansion work at the same time, and can context-switch between market research, UI definition, and deep backend collaboration
• You're data-driven and analytically independent. You can pull your own funnel data, cohort analyses, and experiment results — and translate them into product decisions without waiting on a data team
• You're entrepreneurial. 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
• 5+ years product experience

Benefits & Growth:

• New hire stock equity(RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intra-departmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds
• Access to Inclusion Talks, our Internal panel discussions
• Free, global Spring Health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#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:

$187,000—$240,000 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.

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.

Privacy and AI Guidelines:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.