Technical Program Manager, Technical Solutions

What You’ll Do

Who You Are

• Program Management Experience: 3-5 years of experience leading technical programs in a SaaS or technical environment, ideally including cross-team or cross-functional initiatives. Experience supporting customer-facing or technical support functions is a plus.
• Execution-Oriented: Comfortable driving moderately complex, cross-team initiatives independently, with the judgment to seek guidance on larger or more ambiguous efforts. Solid foundation in project scoping, timeline management, and risk management; PMP, Agile training, or equivalent certification preferred.
• Data-Informed: Tracks progress against established metrics and uses data to guide decisions, report status, and identify risks early.
• Clear Communicator: Able to convey project status and ideas concisely to a range of audiences, from peers to senior stakeholders, adapting the level of detail as needed.
• Collaborative: Builds trust through consistent delivery; works constructively across teams to resolve differing viewpoints and unblock progress.
• Comfortable with Ambiguity: Able to identify unclear requirements, ask the right questions, and bring structure to partially-defined problems.
• AI Fluency: Uses AI tools confidently in day-to-day program work and can evaluate where AI can be responsibly and effectively applied to improve program processes.
• Growth-Oriented: Developing skill in giving constructive, empathetic feedback; may support the onboarding or mentorship of newer team members.
• Technical Foundation: Bachelor’s degree 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
• 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.
• 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:$116,000—$145,000 USD

Benefits and Growth

About Datadog:

Preferred Qualifications

• Program Management Experience: 3-5 years of experience leading technical programs in a SaaS or technical environment, ideally including cross-team or cross-functional initiatives. Experience supporting customer-facing or technical support functions is a plus.
• Execution-Oriented: Comfortable driving moderately complex, cross-team initiatives independently, with the judgment to seek guidance on larger or more ambiguous efforts. Solid foundation in project scoping, timeline management, and risk management; PMP, Agile training, or equivalent certification preferred.

Responsibilities

• Drive delivery of cross-team programs that support one or more Technical Solutions teams — coordinating stakeholders, dependencies, and timelines to keep work on track from kickoff through delivery.
• Partner with team leads, subject matter experts, and cross-functional stakeholders to translate program goals into clear, actionable plans, and document scope, timeline, and quality expectations along the way.
• Establish and maintain program management fundamentals — project trackers, status updates, risk logs — so stakeholders always have visibility into progress and blockers.
• Identify unclear or incomplete requirements early and bring structure to ambiguous problems, escalating only when needed to keep execution on track.
• Use data to track progress against milestones, surface risks, and guide decisions; adjust plans as circumstances change.
• Apply AI tools to streamline your own program management workflows — synthesizing updates, surfacing patterns in program data, or accelerating documentation — and help identify where AI can improve processes for the teams you support.
• Communicate program status, risks, and impact clearly to stakeholders at different levels, adapting your message for technical and non-technical audiences.
• Look for opportunities to improve how programs and processes run, and contribute ideas that make execution more efficient over time.