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Datadog

Senior Technical Program Manager, Knowledge Systems

Sorry, this job was removed at 09:07 a.m. (PST) on Tuesday, May 19, 2026
Easy Apply
Hybrid
San Francisco, CA, USA
134K-197K Annually
Easy Apply
Hybrid
San Francisco, CA, USA
134K-197K Annually

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Datadog's Technical Solutions (TS) organization is composed of 1,100+ customer-facing technical experts around the world, from Sales Engineers, Technical Account Managers, Support Engineers, and Solution Architects, who work with prospects and customers across their journey with Datadog to deliver outstanding customer experiences and drive growth through rapid product adoption.

As a TPM on our team, you will serve as a multiplier for the TS Org by leading the Knowledge Systems program and driving cross-functional projects that improve how TS teams work. This is a hybrid program role: roughly half your time will be spent leading the Knowledge & Systems program (knowledge lifecycle, enterprise search, content governance), and the other half on systems and tooling projects across TS Ops. You will own program roadmaps, work cross-functionally to deliver scalable processes and tooling, and manage projects end-to-end from scoping through delivery.


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

  • Plan and manage projects from initiation to delivery across both Knowledge & Systems and broader TS Ops initiatives, coordinating with cross-functional teams to ensure timely, on-scope execution.
  • Own and maintain the roadmap for Knowledge Systems across the TS Organization.
  • Oversee the creation and implementation of systems and processes for knowledge creation, capture, dissemination, and continuous updates.
  • Lead systems and tooling projects across TS Ops that support TS engineer workflows.
  • Define content governance standards to ensure the knowledge base remains accurate, relevant, and comprehensive.
  • Leverage AI to automate processes wherever possible, ideally curating our extensive knowledge base as it's being used.
  • Drive adoption of tooling and processes across TS, effectively influencing without direct authority and engaging senior stakeholders to ensure alignment and resourcing.
  • Define and track key performance indicators (KPIs) to measure program effectiveness, using quantitative and qualitative insights to continuously refine approaches and technologies.
  • Ensure progress toward goals by communicating status, relevant updates, risks, and impact across teams & projects, adapting communications for different levels.
  • Identify and track dependencies and opportunities for optimization; proactively surface risks and recommend solutions before they become blockers.

Who You Are

  • Proven Technical PM Experience: Over 5 years of experience leading complex, cross-functional, portfolio-based programs in a SaaS or technical space. Experience with support, sales, or professional services teams is a plus.
  • Data-Driven: Skilled at using quantitative and qualitative data to guide decisions, measure effectiveness, and iterate.
  • Clear Communicator: Ability to convey complex ideas concisely to diverse audiences, including technical specialists, product leads, and senior executives.
  • Collaborative & Influential: Proven ability to build strong partnerships and influence without direct authority to align teams on shared goals.
  • Growth-Oriented: Thrive in dynamic environments, continuously seeking to improve processes and learn new technologies.
  • Excellent Execution and PM Foundations: Proven management of scope, schedule, and cost, with strengths in project scoping, timeline management, resource planning, and risk management.
  • Technical Background: Solid technical background, possibly with education in Computer Science, Engineering, or a related technical field, or equivalent industry experience.

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 and Growth

  • Generous and competitive benefits package
  • New hire stock equity (RSUs) and employee stock purchase plan
  • Continuous career development and pathing opportunities
  • Best in breed onboarding
  • Internal mentor and buddy program cross-departmentally
  • Friendly and inclusive workplace culture

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

#LI-Hybrid

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:
$134,000$197,000 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.

Datadog San Francisco, California, USA Office

We are located in Downtown San Francisco, right across the street from Salesforce Tower. The Ferry Building and Embarcadero are just a few minutes away by foot.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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