Senior Product Manager - Business Data Analysis
Datadog is hiring a Senior Product Manager - Business Data Analysis in New York, United States. It pays $192k-$240k a year and Level rates it ; you can apply on Datadog.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- Some of the work can be done remotely, according to the posting.
- The posting mentions SQL, Sheets and AI agents among its tools and skills.
- Level classes it as a senior role.
- Datadog has 433 other open roles on Level.
AI in this role
Senior product manager to lead SQL, Sheets, and data integration products, incorporating business context into AI agent capabilities.
Datadog helps technical teams understand their systems. More and more, those teams want to know what a problem costs the business. Today the business context for that answer typically sits in a data warehouse. We want to equip customers to answer this question directly in Datadog.
We're bringing business data into Datadog. You'll start with owning the Datadog SQL (DDSQL) and Sheets products. DDSQL lets people query across their Datadog data in SQL, and Sheets gives them a spreadsheet to pivot, look up, and calculate on that data without writing a query.
Once you have a handle, you will grow into building out a strategy and execution plan for bringing business data into Datadog. This encompasses data warehouse connections, schema discovery, semantic encoding, and new visualization. As this initiative grows, you will explore new capabilities that can be built using both warehouse and telemetry data in one platform.
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:
- Lead SQL and Sheets end to end, growing them into the main way customers query Datadog and warehouse data
- Define how customers connect their warehouses and join that data to Datadog telemetry, with the access controls and performance that make it usable at scale
- Build reusable metrics and joins so teams can build on each other's work instead of starting over
- Bring business data into our AI agent Bits so operational investigations can draw on customer and revenue context
- Make analysis easy to organize and distribute, from folders and tags to scheduled reports
- Partner with design to set a high bar for information architecture and visual polish in complex analytical workflows
- Use customer research and product analytics to find what keeps teams from doing this work in Datadog today, then improve discovery and onboarding
Who you are:
- 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 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
- 5+ years of product management experience
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth:
- Product training to develop an in-depth understanding of our product and space
- Continuous career development and pathing opportunities for internal mobility
- Intradepartmental mentor and buddy program for in-house networking
- An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
- New hire stock equity (RSUs) and employee stock purchase plan
- Free global mental health benefit through Spring Health
- Generous 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:$192,000—$240,000 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.
How we rate this
Senior Product Manager - Business Data Analysis at Datadog rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where data warehousing was part of your work. What did you do?
- Tell me about a project where information architecture was part of your work. What did you do?
- Tell me about a project where schema discovery was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Product Management, Data Warehousing, Information Architecture, and Schema Discovery. 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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