About the role
From the employer’s listing · Datadog · posted 16 October 2026
We are seeking a motivated and experienced Technical Program Manager to join Datadog’s Technical Solutions organization. This organization is made up of 1,200+ customer-facing technical experts around the world — including Sales Engineers, Technical Account Managers, Support Engineers, and Solution Architects — who work with prospects and customers throughout their journey with Datadog to deliver outstanding experiences and drive growth through product adoption.
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.
What You’ll Do
- 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.