DatadogPosted 1mo ago
Senior Product Manager - Business Intelligence at Datadog scores 15 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.
AI in this role
Own product strategy and execution for business intelligence capabilities, including SQL and spreadsheet tools, at Datadog.
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.
What you'll do:
- Own the strategy, roadmap, and success metrics for business intelligence across Datadog, including the initial customer wedge and sequence of investments
- Lead SQL and Sheets end to end, evolving them from individual tools into core ways customers analyze Datadog and third-party data
- Define how customers bring business data into Datadog and use it alongside operational data, including warehouse connections, joins, access controls, and performance
- Make analysis reusable and trustworthy through shared datasets, metrics, business definitions, and published work that teams can build on instead of recreating
- Create a coherent path from question to query to reusable analysis across Graphing, Dashboards, Notebooks, and adjacent Datadog products
- Partner closely with design to establish a high bar for information architecture, interaction design, and visual polish across complex analytical workflows
- Use customer research, product analytics, and competitive insight to identify what prevents teams from doing work in Datadog today, then improve discovery, onboarding, and repeat use
- Shape the positioning, packaging, pricing, and go-to-market strategy, and identify the next capabilities and user groups Datadog should pursue
Who you are:
- You have built customer-facing business intelligence, analytics, notebook, spreadsheet, visualization, or other data-intensive products
- You have strong UI and UX judgment across information architecture, interaction patterns, progressive disclosure, and the edge cases that make complex tools feel simple
- You are hands-on with data analysis tools and use them to answer your own product questions
- You are game to lead ambiguous, zero-to-one work
- You can work with engineers on query engines, schemas, joins, storage, performance, and access controls
- You communicate clearly and build alignment across engineering, design, go-to-market teams, and executives
- 7+ years of product management experience
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:$156,000—$195,000 USDAbout 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.
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Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where business intelligence was part of your work. What did you do?
- Tell me about a project where data analytics was part of your work. What did you do?
- What's a project where you used Sql hands-on?
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- List these exact terms on your resume: Product Management, Business Intelligence, Data Analytics, and Sql. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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