About Datadog:
We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions of data points per day—allowing for seamless collaboration and problem-solving among DevOps and Security teams globally for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way.
The Team:
Logs can be a rich source of data. We’re looking for a Senior Product Manager to help us build the next generation of data processing capabilities at petabytes scale. Our vision is to enable search across external datasets and customer hosted data stores, allowing customers to optimize their observability budgets and meet data residency requirements. Work with our design partners to drive the roadmap for long-running analytical jobs, federated search, and historical log analysis—enabling new Security, AI/ML, and Business Intelligence workloads.
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:
- Develop a deep understanding of Log Management customers, use cases, and competitors
- Own and execute the roadmap for large-scale log analytics, including long-running queries and historical log analysis for Security, AI/ML, and BI use cases.
- Build federated search capabilities, allowing customers to query datasets across Datadog and external sources (e.g., S3, GCS, Azure Blob Storage).
- Define and build a pivot-table-style UI for users to interactively analyze, slice, and visualize log data.
- Research and define log-based AI/ML use cases, exploring how logs fuel LLM training, model monitoring, and fine-tuning.
- Drive customer adoption and engagement, working cross-functionally with GTM teams to bring these capabilities to market.
Who You Are:
- A proven track record as a technical product manager independently defining strategy and owning execution of a SaaS product or data streaming service
- A Bachelor's Degree in Computer Science or Engineering or equivalent experience
- 3+ years of product management experience in big data, analytics, or observability.
- Familiarity with distributed data processing (e.g., Apache Spark, Presto, Hadoop).
- Experience in log management, SIEM, or analytics platforms (e.g., Tableau, Looker, Splunk).
- Strong technical acumen, with experience see discussing architectures and trade-offs with engineers.
- A passion for AI/ML and an interest in how logs support LLMs and machine learning workloads.
- Strong problem-solving, communication, and customer-centric
Datadog values people from all walks of life. We know 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 experience, we encourage you to apply.
Benefits & Growth:
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- Intra-departmental mentor and buddy program for in-house networking
- An inclusive company culture, ability to join our Community Guilds
- Access to Inclusion Talks, our Internal panel discussions
- Free, global Spring Health benefits for employees and dependents age 6+
- Competitive global benefits
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
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:
$187,000—$240,000 USD
About Datadog:
Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is an Affirmative Action and Equal Opportunity Employer and 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 more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Your Privacy:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice.
Top Skills
Datadog New York, New York, USA Office
We are located in the New York Times building and five-minute walk away from Times Square. The 42 St Port Authority Bus Terminal is right across the street, providing a highly accessible transportation network.
Similar Jobs at Datadog
What you need to know about the NYC Tech Scene
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
