> Markdown version of [/jobs/ext/3787122-technical-program-manager](https://www.wearedevelopers.com/jobs/ext/3787122-technical-program-manager). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Program Manager - **Company:** Datadog - **Location:** New York, NY, United States - **Experience:** Experienced - **Salary:** $116,000.0 - $145,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Software as a Service, Information Technology - **Published:** October 16, 2026 - **Apply:** https://careers.datadoghq.com/detail/8268065/?gh_jid=8268065 ## About the Role * 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. ## Description As a Technical Program Manager, you will lead and support a variety of technical programs that help these customer-facing teams work more effectively. Depending on the needs of the organization, this could include programs related to internal tooling, process improvement, knowledge and content systems, or other cross-functional initiatives. You’ll partner closely with team leads, subject matter experts, and other stakeholders to bring structure and clarity to moderately complex, cross-team programs, and you’ll act as a multiplier for the teams you support by driving programs from planning through delivery. Candidates who have previously led projects for customer-facing technical teams are especially encouraged to apply. 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., * 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.