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Product Manager II - Agent Observability

Datadog New York, New York, USA Full-time Product Management Posted Oct 9, 2026
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Culture signals in this specific role

Inferred from the employer’s wording in this job description. These role-level signals are separate from the company-wide employee-review scores below.

OwnershipThe description emphasizes ownership or end-to-end responsibility.
Cross-functionalThe role explicitly involves collaboration across teams or functions.
Fast-pacedThe wording signals a fast-moving environment with changing priorities.
Deep technical workThe role highlights substantial technical, research, or systems work.
MentoringMentoring, coaching, or technical leadership is part of the role.

What it’s like to work at Datadog

Cloud Monitoring & Observability · New York

4.2
Employee Rating
3.8
Work-Life Balance
433
Open Roles
eng-drivenship-fastlearningproduct-impactequity

What employees love

  • Excellent compensation and equity — stock has been a genuine wealth builder for early employees
  • Strong engineering culture with smart coworkers and interesting technical challenges at scale

What could be better

  • Fast pace can lead to long hours and pressure to deliver, work-life balance varies by team
  • Rapid growth has led to organizational growing pains and bureaucracy creeping in
View full Datadog culture profile →

About the Role

As organizations move AI agents from experimentation into production, engineering teams need to understand whether those agents are accurate, reliable, performant, and cost-effective. Datadog Agent Observability helps teams understand, evaluate, and improve AI agents across the development lifecycle. By connecting agent traces and evaluations with full-stack production telemetry, Datadog gives teams the context they need to understand agent behavior and resolve problems quickly.

As the Product Manager for Agent Observability, you will own capabilities that help customers develop and operate reliable AI agents. You will spend significant time with customers, learn how they work, identify their most important problems, and translate those insights into a clear product strategy and roadmap. To succeed in this role, you should be comfortable navigating a rapidly evolving market, presenting to customers, and leading cross-functional efforts to drive adoption and growth.

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

Who You Are

Benefits and Growth:

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

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.

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, LinkedIn, and Datadog Learning Center.


Equal Opportunity at Datadog:

Datadog 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 other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our 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. 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. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

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Frequently Asked Questions

What is the work-life balance like at Datadog?
Datadog has a work-life balance score of 3.8/5 based on employee reviews. This is about average for the AI/tech industry.
What is Datadog’s culture like?
Datadog is characterized by these culture values: eng-driven, ship-fast, learning, product-impact, equity. Based on employee reviews, the company has an overall rating of 4.2/5. Excellent compensation and equity — stock has been a genuine wealth builder for early employees
How many open roles does Datadog have?
Datadog currently has 433 open roles across departments including engineering, product, sales, and more. Roles are refreshed daily from their careers page.
Is this role remote-friendly?
This role is located in New York, New York, USA. Check the job description above for specific location and remote work details.
Apply for this role at Datadog →