Datadog is recruiting a Senior Product Manager - Business Analysis to join the team in New York. The job is full-time and office based. The advertised pay is $192,000 to $240,000 a year.
The description below comes from Datadog's own job posting.
Datadog helps technical teams understand their systems. Increasingly, those teams also need to connect operational data to business context, like customers, transactions, revenue, etc.
We are building business intelligence capabilities that let customers bring operational and business data together, explore it with SQL or a spreadsheet, turn repeated analysis into trusted datasets and metrics, and share the result through visualizations, dashboards, and notebooks.
This role owns the product strategy and execution for that initiative. You will lead Datadog SQL (DDSQL) and Sheets while shaping new bets in the broader system around them: how customers bring in data, model and reuse it, discover trusted analysis, and move from a question to an answer without leaving Datadog.
Success is not about recreating a traditional BI suite feature by feature. You will identify where Datadog has a distinct advantage, choose the right initial users and use cases, and work across product, design, and engineering to create a coherent experience from data access through analysis and sharing.
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: $192,000 to $240,000 USD
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.
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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Datadog advertises $192,000 to $240,000 a year for this role.
No, it is an on-site job in New York.
The posting mentions at least 7 years of relevant experience and skills such as SQL and Onboarding. Read the full description above for the complete list.
Use the apply button on this page. It takes you to Datadog's own application form, so your CV goes directly to their hiring team.
Datadog published the role on August 10, 2026. We check the employer's job board every day and take this page down when the role closes, so if you can read it, the job was still listed at our last check.
Source: Datadog careers page (careers.datadoghq.com). Applications go straight to the employer. We check the listing daily and remove it once it closes.
We tackle some of the hardest technical problems while delivering a product that "just works" for our customers. And we are backed by some of the best VCs in NYC and the world. Do you want to make a difference? Are you exceptional at your job, and intrinsically motivated by it? Do you eat hard problems for breakfast and find them beautifully simple solutions by lunchtime? Do you ever wish you were there in the early days of these startups everyone is talking about? If so, we want to hear…
Industry: Technology
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