Most Loved Workplace® Certified Job

Manager, Internal Product Analytics

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92% of candidates apply because they are a Most Loved Workplace®

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, a Most Loved Workplace® certified employer in the Technology space, Observe, Secure, and Optimize Modern Cloud Infrastructure at Scale.

The Internal Product Analytics (IPA) team is the analytics backbone of Datadog's Product organization. With over thirty products on a single platform, IPA gives PMs and leadership the data, tooling, platform, and analysis they need to make good decisions. The team owns the recurring analytical work the Product org runs on and builds the AI-first workflows that make that analysis faster and more consistent across the org.

As Manager of the Internal Product Analytics team, you will directly manage a team of data analysts, partner closely with the PMs your team serves, and partner with the associated platform engineering teams. You will set the direction for how the team delivers analysis, builds AI-first tooling, and partners across functions. This is a role for someone who works well across teams, turning complex data and open questions into clear, trusted answers that PMs and leadership can act on.

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Guide and grow the Internal Product Analytics team. Manage, coach, and develop a team of data analysts. Set priorities, hold a high bar for quality, and make sure the team's output is trusted across the Product org.

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Partner directly with the PM org. Work side by side with the PMs your team serves to frame the questions that matter, shape the analysis, and make sure the answers reach them in a form they can act on.

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Own the recurring analytics the PM org runs on. Business reviews, feature request analysis, usage and adoption tracking, and pricing analysis. Make this work consistent, repeatable, and fast so PMs get answers when they need them.

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Build AI-first analytics. Design and ship AI-powered workflows and agents that do the heavy lifting of analysis, from data querying to synthesis to reporting. Set the standard for how the team uses AI so analysis scales without simply adding headcount.

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Partner across functions. Work with Finance, Data Platform, Engineering, and Revenue teams to align on definitions, source the right data, and turn raw signals into decisions. Build trust with partners who do not report to you.

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Turn data into decisions for leadership. Query product, CRM, and financial data to surface the insights that matter, then present them clearly to PMs and senior leadership so they can act with confidence.

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Set the standard for product analytics across the org. Define the metrics, definitions, and analytical frameworks that leadership and every PM rely on, and own them as the single source of truth the Product org trusts.

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6+ years in product analytics, data analytics, or a related field, with 2+ years managing or leading a team.

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A strong track record partnering across functions (Product, Finance, Engineering, Data) and aligning stakeholders with different priorities toward shared outcomes.

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Proven ability to partner directly with product managers as their analytics partner, turning product questions into analysis that informs decisions.

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Fluent in SQL and comfortable in a modern data warehouse and BI tooling. You can go from raw data to a defensible answer yourself, not just direct others to do it.

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Hands-on experience building or deploying AI-first analytics: AI-powered workflows, agents, or tooling that speed up real analytical work. Professional use of AI tools such as Claude, including prompt design and putting AI into day-to-day analysis.

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Experience communicating with and presenting to senior leadership at the VP+ level, both in writing and in live settings.

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Comfortable in ambiguous environments where you define the approach, prove value quickly, and iterate, rather than maintain an existing playbook.

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Able to lead through influence rather than authority, building trust and driving outcomes across teams you do not directly manage.

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<h4 data-local-id="4b660960f30f" data-renderer-start-pos="3808">Preferred Qualifications:</h4>

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Experience supporting a product management org or working inside a Product function.

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Familiarity with the modern data stack (for example dbt, Snowflake, semantic layers) and with product data and CRM systems.

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Experience building or deploying AI agents or automated analytical workflows using current frameworks.

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A background in analytics engineering or data platform work.

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Experience with financial and revenue data (ARR, cohort analysis) and partnering closely with Finance.

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Familiarity with Datadog's products and services.

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#LI-Hybrid<div class="content-pay-transparency"><div class="pay-input"><div class="description">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.</div><div class="title">The reasonably estimated yearly salary for this role at Datadog is:</div><div class="pay-range">$160,000&mdash;$200,000 USD</div></div></div><div class="content-conclusion"><hr>

About Datadog:&nbsp;

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 <a href="https://www.instagram.com/datadoghq/?hl=en" target="_blank">Instagram</a>, <a href="https://www.linkedin.com/company/Datadog" target="_blank">LinkedIn,</a> and <a href="https://learn.datadoghq.com/" target="_blank">Datadog Learning Center. </a>

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Equal Opportunity at Datadog:

Datadog is proud to offer <a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf" target="_blank">equal employment opportunity</a> 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 <a href="https://www.datadoghq.com/legal/candidate-legal-notices/" target="_blank">Candidate Legal Notices</a> for your reference.&nbsp;

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 <a href="https://docs.google.com/forms/d/e/1FAIpQLSeoJeduEZ2NdZF_65uZmWUrCM-zee7yADXX1s6Xr9zAGq8iKA/viewform" target="_blank">this form</a>. This form is for accommodation requests only and cannot be used to inquire about the status of applications.&nbsp;

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Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s&nbsp;<a class="c-link" href="https://www.datadoghq.com/legal/applicant-candidate-privacy/" target="_blank" data-stringify-link="https://www.datadoghq.com/legal/applicant-candidate-privacy/" data-sk="tooltip_parent">Applicant and Candidate Privacy Notice</a>. For information on our AI policy, please visit <a href="https://www.datadoghq.com/legal/interviewing-at-Datadog-ai-guidelines/" target="_blank">Interviewing at Datadog AI Guidelines</a>.</div>

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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 448 open positions. They are hiring across departments like Dev Eng, Enterprise Sales Engineering, Field Marketing. 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.