Product Operations Manager
Datadog is hiring a Product Operations Manager in New York, United States. Level rates it ; you can apply on Level.
AI in this role
The product operations team enables product excellence at scale at Datadog. With over thirty standalone products on a single platform, product operations drives consistency, efficiency, and quality across the organization.
As a Product Operations Manager, you will help the product organization do its best work. You'll build and scale the processes, frameworks, and cross-functional workflows that enable PMs and their partners to ship effectively. This includes touchpoints with inbound, delivery, outbound workstreams in product development. This is a role for someone who thrives in the space between teams: driving alignment, removing friction, and ensuring that the operational foundations of the product org can keep pace with Datadog's 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
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Own and improve the full Product Development Life Cycle. Own and drive operational excellence for product launches. This includes coordinating across Product, Engineering, Marketing, Sales, Customer Success, and Support to ensure we are ready to bring quality products and support to our customers.
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Build AI-powered workflows and agents that automate and accelerate operational work. From customer feedback triage to launch tracking to cross-functional reporting, you'll experiment with and deploy AI tools and custom agents to help the product org move faster and smarter.
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Build and maintain a single source of truth for launches giving cross-functional partners real-time visibility into what's shipping, when, and what's needed from each team.
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Drive centralized product knowledge and enablement, ensuring PMs and stakeholders have the tools, resources, templates, and context they need to succeed and making it easily discoverable.
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Analyze and quantify product signals. Query product, CRM, and customer data systems to surface high-signal insights — aggregating and quantifying feature requests, identifying revenue opportunities, and measuring the impact of product decisions. You'll bring an analytical lens to operational work, turning raw data into clear, actionable recommendations for PMs and leadership.
Minimum Qualifications
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4+ years of experience in product operations, program management, or a related relevant experience
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Experience collaborating across multiple departments (Product, Engineering, Marketing, Sales, etc.) and aligning stakeholders with different priorities toward shared outcomes.
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Experience communicating with and presenting to senior leadership at the Director+ level, both in writing and live settings.
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Hands-on experience with product management and engineering tools (Jira, Confluence, GitHub, or similar), with a willingness to build and improve tooling as needs evolve.
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Experience working in ambiguous environments where you've had to define the approach, prove out value quickly, and iterate, not just maintain an existing playbook.
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Demonstrated ability to lead through influence rather than authority, building trust and driving outcomes across teams you don't directly manage.
Preferred Qualifications
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2+ years of software engineering, technical product management, or other relevant technical experience.
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Experience with GitHub for CI/CD, documentation workflows, or collaboration with engineering teams.
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Proficiency in programming languages or SQL for data analysis, automation, or scripting
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Experience building or deploying AI agents or automated workflows using frameworks
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Professional use of AI tools such as Claude, ChatGPT, or Cursor, including prompt engineering and integrating AI into day-to-day workflows.
Datadog values people from all walks of life. We understand 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 skills, 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.
#LI-Hybrid
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.
How we rate this
Product Operations Manager at Datadog rates 15 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- What are the limits of ChatGPT that you've run into, and how did you work around them?
- What's a project where you used Claude hands-on?
- Walk me through how you've used Cursor in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Prompt engineering, AI agents, ChatGPT, Claude, and Cursor. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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