Senior Product Manager - Business Data Analysis

New York, New York, USA

Product Management

This position may no longer be active.View all open positions at Datadog

About the Role

At Datadog in the Technology space, Observe, Secure, and Optimize Modern Cloud Infrastructure at Scale.

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.

<ul>

<li>Lead SQL and Sheets end to end, growing them into the main way customers query Datadog and warehouse data</li>

<li>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</li>

<li>Build reusable metrics and joins so teams can build on each other's work instead of starting over</li>

<li>Bring business data into our AI agent Bits so operational investigations can draw on customer and revenue context</li>

<li>Make analysis easy to organize and distribute, from folders and t

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What It's Like to Work at Datadog

What It's Like to Work Here

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Frequently Asked Questions About Working at Datadog

Common questions candidates ask about this role and Datadog's workplace

Datadog is a leading Cloud company that provides monitoring and analytics solutions. The company operates a global presence with headquarters in New York serving as the primary operational base for key executive leadership and corporate functions including engineering, product, sales, and executive leadership. Datadog maintains additional offices across the Americas in Boston, Denver, San Francisco, and throughout the USA, Canada, Mexico, and South America.

Please review the specific job listing or contact Datadog's recruiting team for details on remote or hybrid work options for this role.

Salary information may vary by role and location. Please check the specific job listing or discuss compensation during the interview process.

Datadog is an established organization in its industry. The company focuses on maintaining a supportive workplace culture for all employees.

Key benefit categories include: Financial Benefits, Health & Wellness, Work-Life Balance, Community & Growth. You can view more details on their CertCheck profile.

The day-to-day environment is guided by core values such as Collaborative Problem-Solving and Ownership Mentality and Continuous Learning Culture.

The company has committed to inclusive practices including: Empower Ownership and Accountability and Champion Diversity, Inclusion, and Belonging.

Datadog has a supportive and collaborative culture, recognized as a loved place to work by its team members.

Datadog currently has 433 open positions. They are hiring across departments like Finance, Dev Eng, Engineering Interns. You can view all current openings at certcheck.mostlovedworkplace.com/companies/datadog/jobs.

The interview process typically involves an initial recruiter screen followed by team interviews. Please contact Datadog's recruiting team for specific details on this role's process.