---
title: 'Product Manager II - SQL & Sheets Growth at Datadog'
canonical: 'https://feeny.ai/job/product-manager-ii-sql-sheets-growth-datadog-new-york-new-york-0v8ccnn6v9xk'
type: 'job'
last_seen: '2026-09-12'
---

# Product Manager II - SQL & Sheets Growth at Datadog

- **Company:** Datadog
- **Location:** New York New York, United States
- **Compensation:** $156k–$195k
- **Posted:** 2026-08-10
- **Last confirmed live:** 2026-09-12
- **Apply:** https://careers.datadoghq.com/detail/8119973/?gh_jid=8119973

## Job description

Datadog SQL (DDSQL) and Sheets are two of the newest products within Graphing, Datadog’s most-used product area. Together, they give customers flexible ways to query, combine, analyze, visualize, and share data across Datadog.

This role owns the product direction and user experience for both products. Your goal is to help users move from raw data to trustworthy answers quickly—whether they prefer writing SQL, working in a spreadsheet, or building visual analyses.

Doing this well requires more than adding analytical features. Real-world analysis involves nuanced decisions about data models, joins, aggregations, time windows, missing data, query performance, and the transition from exploration to reusable work. You’ll work closely with design and engineering to make these capabilities understandable without limiting their analytical power.

You’ll also help expand the data customers can analyze in Datadog, including third-party and business data alongside operational telemetry. This will make DDSQL and Sheets central analytical tools for a broader range of questions and users.

What you'll do:

- Own DDSQL and Sheets end to end: roadmap, adoption, and growth strategy
- Partner closely with design to establish a high bar for information architecture, interaction design, and visual polish across complex analytical workflows
- Use product analytics and customer research to identify friction, improve onboarding, and measure whether users are reaching useful answers faster
- Define the experience for querying, transforming, visualizing, and sharing data, from query composition and results exploration to errors, performance feedback, and collaboration
- Define and execute the strategy for bringing third-party data into Datadog: from market research and use-case definition through pricing
- Expand Datadog SQL from a standalone editor into a platform-wide query capability on all graphs
- Redesign how users discover and get started with Graphing products: rethink list pages, build onboarding flows, and create entry points that don't assume prior Datadog expertise
- Identify and pitch net-new investment areas for the Graphing suite: new products, new personas, or new capabilities that emerge from what you learn scaling DDSQL and Sheets

Who you are:

- You have experience building customer-facing analytics, BI, notebook, spreadsheet, visualization, or other data-intensive products
- You have strong UI and UX judgment. You can reason through information architecture, interaction patterns, progressive disclosure, and the edge cases that make complex tools feel either excellent or frustrating
- You are analytically hands-on and comfortable using SQL, spreadsheets, BI tools, or notebooks to explore data and answer your own product questions
- You're energized by ambiguity, comfortable forming a point of view with incomplete data, and excited to define problems
- You have a strong technical background and can hold your own in conversations about query engines, data schemas, and storage architecture.
- You have excellent verbal and written communication skills and the willingness to present and defend your ideas to technical stakeholders and executives alike
- 4+ years product 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 USD

About 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](https://www.instagram.com/datadoghq/?hl=en), [LinkedIn,](https://www.linkedin.com/company/datadog) and [Datadog Learning Center.](https://learn.datadoghq.com/)

Equal Opportunity at Datadog:

Datadog is proud to offer [equal employment opportunity](https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) 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](https://www.datadoghq.com/legal/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](https://docs.google.com/forms/d/e/1FAIpQLSeoJeduEZ2NdZF_65uZmWUrCM-zee7yADXX1s6Xr9zAGq8iKA/viewform). 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](https://www.datadoghq.com/legal/applicant-candidate-privacy/). For information on our AI policy, please visit [Interviewing at Datadog AI Guidelines](https://www.datadoghq.com/legal/interviewing-at-datadog-ai-guidelines/).

## About Datadog

## Company Overview
- **One-liner**: Datadog provides a unified cloud monitoring and security platform for developers, IT operations, and business teams to gain end-to-end visibility across their entire technology stack.
- **Entity Type**: Public (NASDAQ: DDOG)
- **Headquarters**: New York, NY, United States
- **Founded**: 2010
- **Founders**: Olivier Pomel and Alexis Lê-Quôc

## Core Business
- **Primary industries**: Cloud monitoring, observability, application security, IT operations, DevOps
- **Target customers**: B2B – from SMBs to large enterprises, serving developers, IT operations, security teams, and business users
- **Mission/purpose**: “We are building the modern monitoring and security platform for developers, IT operations teams and business users in the cloud age.” [datadoghq.com](https://www.datadoghq.com/)

## Products & Services
- **Infrastructure Monitoring**: Metrics collection and visualization for servers, containers, cloud services, and hybrid environments.
- **APM (Application Performance Monitoring)**: Trace and optimize application performance end-to-end.
- **Log Management**: Centralized log ingestion, analysis, and exploration with sensitive data scanning and audit trail.
- **Security**: Unified security and observability – including Cloud SIEM, Application Security Management, and runtime detection to defend against AI-powered attacks. [datadoghq.com](https://www.datadoghq.com/product/security/)
- **Digital Experience Monitoring (DEM)**: Synthetic monitoring (browser & API tests) and Real User Monitoring (RUM) for frontend performance.
- **Bits AI**: AI agents that chat, investigate, and remediate issues; includes Watchdog for proactive anomaly detection.
- **Network Monitoring**: Analyze network traffic patterns across cloud environments.
- **Service Management** and **Software Delivery**: Incident response, workflow automation, CI Visibility, DORA Metrics, and OpenTelemetry support.
- **Database Monitoring** and **Data Streams Monitoring**: Deep visibility into databases and streaming pipelines.

## Market Standing
- **Valuation/Market Cap**: ~$39.9 billion (as of mid-2026) [linkedin.com](https://www.linkedin.com/company/datadog)
- **Key Metric**: FY2025 annual revenue of $3.43 billion [jobsbyculture.com](https://jobsbyculture.com/blog/working-at-datadog-2026)
- **Notable Investors/Partners**: Index Ventures (led Series C), with total funding of ~$1.67 billion including IPO proceeds. [linkedin.com](https://www.linkedin.com/company/datadog)
- **Growth Signals**:
  - Recognized as a Leader in the **Gartner Magic Quadrant for Observability Platforms** and for **Digital Experience Monitoring**; also named a Leader in **The Forrester Wave: AIOps Platforms, Q2 2025**. [datadoghq.com](https://www.datadoghq.com/)
  - Headcount grew to approximately **10,100 employees** by April 2026 (up from ~8,100+ reported earlier). [jobsbyculture.com](https://jobsbyculture.com/blog/working-at-datadog-2026)
  - Maintains a strong Glassdoor rating of **4.2/5.0**, with ~80% of employees recommending to a friend. [jobsbyculture.com](https://jobsbyculture.com/blog/working-at-datadog-2026)

## Competitive Advantages
- **Unified platform**: Combines infrastructure monitoring, APM, log management, and security in a single solution – reducing tool sprawl.
- **AI-native capabilities**: Bits AI agents and Watchdog provide automated root-cause analysis, remediation, and proactive insights.
- **Industry recognition**: Consistently placed as a Leader in multiple analyst quadrants (Gartner, Forrester), validating product quality and market presence.
- **Scale and ecosystem**: 700+ integrations, a rich marketplace, and broad support for OpenTelemetry and other open standards.

## Strategic Focus
- **AI and automation**: Deep investment in AI-driven features (Bits AI, Watchdog, automated remediation) to reduce toil and improve mean-time-to-resolution.
- **Security observability**: Extending the platform to unify security and observability – a key differentiator as threats become more complex.
- **Global expansion**: Growing employee presence across the Americas, EMEA, and Asia Pacific (53 countries) to serve a widening customer base. [careers.datadoghq.com](https://careers.datadoghq.com/)

## Why Work Here
- **Culture**: Transparent, inclusive, and engineering-driven. Diversity and inclusion are core values, with active Employee Resource Groups. [careers.datadoghq.com](https://careers.datadoghq.com/)
- **Flexibility**: Operates a flexible work environment supporting remote, hybrid, and office cultures – “Innovation happens everywhere”. [careers.datadoghq.com](https://careers.datadoghq.com/)
- **Benefits**: Generous benefits tailored by region, covering physical, mental, and financial wellness. [careers.datadoghq.com](https://careers.datadoghq.com/)
- **Growth**: 454 open positions globally (as of mid-2026) across engineering, sales, product, marketing, and technical solutions – with opportunities to work on cutting-edge observability and AI challenges. [jobsbyculture.com](https://jobsbyculture.com/blog/working-at-datadog-2026)
- **Ratings**: CEO Olivier Pomel enjoys ~87% approval; overall Glassdoor rating is 4.2/5.0 (Work-Life 3.8, Compensation 3.9, Culture 4.0). [jobsbyculture.com](https://jobsbyculture.com/blog/working-at-datadog-2026)

## Sources
1. [datadoghq.com](https://www.datadoghq.com/)
2. [careers.datadoghq.com](https://careers.datadoghq.com/)
3. [jobsbyculture.com](https://jobsbyculture.com/blog/working-at-datadog-2026)
4. [linkedin.com](https://www.linkedin.com/company/datadog)

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