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Product Manager II – Agent Observability

Datadog

Other United States / New York, New York, USA

Employer posted: October 9, 2026. Source checked: October 14, 2026 2:13 pm. Availability and final application requirements are confirmed on the employer’s site.

Source: Datadog — company careers. WorkerEra lists this opportunity from an external source; confirm current details with the employer.

About this opportunity

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

  • Own the roadmap for new Agent Observability capabilities
  • Develop a deep understanding of how teams build, evaluate, monitor, and troubleshoot AI agents
  • Engage directly with customers and design partners to validate problems, test product concepts, and improve the product
  • Work closely with engineering and design to deliver new capabilities from early concepts through launch and iteration
  • Partner with GTM teams on positioning, sales enablement, customer education, and adoption
  • Track developments across the broader AI ecosystem to guide priorities 

Who You Are

  • 3+ years of PM experience, ideally in the AI/ML space
  • Working knowledge of how AI agents are built and operated, or have hands-on experience with AI Observability or MLOps tooling
  • Take ownership of outcomes and have a strong bias for action
  • 0 to 1 experience is preferred

 

Benefits and Growth: 

  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP)

  • Continuous professional development, product training, and career pathing

  • Sales training in MEDDIC and Command of the Message

  • Intradepartmental mentor and buddy program for in-house networking

  • An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)

  • Free, global Spring Health benefits for employees and dependents age 6+

  • Competitive global benefits and giving programs

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.

Imported source listing. Details are supplied by the source and have not been independently verified by WorkerEra. Confirm the current vacancy on the employer’s page.

Source: Datadog — company careers

Your application checklist

  • Read the linked employer announcement and compare its requirements with your experience.
  • Tailor your CV to responsibilities and skills actually listed by the employer.
  • Confirm the work location, deadline and application documents before submitting.
  • Salary was not supplied in the listing fields; ask the employer about compensation.

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