Datadog
Manager, Internal Product Analytics
New York, New York, USA · Senior
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- The Internal Product Analytics (IPA) team is the analytics backbone of Datadog's Product organization.
- 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.
- Business reviews, feature request analysis, usage and adoption tracking, and pricing analysis.
Responsibilities
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Proven ability to partner directly with product managers as their analytics partner, turning product questions into analysis that informs decisions.
- 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.
- 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.
Requirements
- 6+ years in product analytics, data analytics, or a related field, with 2+ years managing or leading a team.
- A strong track record partnering across functions (Product, Finance, Engineering, Data) and aligning stakeholders with different priorities toward shared outcomes.
- You can go from raw data to a defensible answer yourself, not just direct others to do it.
Nice to have
- Experience supporting a product management org or working inside a Product function.
- Familiarity with the modern data stack (for example dbt, Snowflake, semantic layers) and with product data and CRM systems.
- A background in analytics engineering or data platform work.
- Experience with financial and revenue data (ARR, cohort analysis) and partnering closely with Finance.
- Familiarity with Datadog's products and services.
- Actual compensation is based on factors such as the candidate's skills, qualifications, and experience.
- Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence.
- Equal Opportunity at Datadog:
Skills
- Experience communicating with and presenting to senior leadership at the VP+ level, both in writing and in live settings.
Compensation
- $160,000 - $200,000 USD
Benefits
- Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Company info
- It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers.
- 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.
Visa & Work Authorization
- t 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
This listing is sourced directly from Datadog's careers page and normalized into a canonical job model.