Senior Technical Program Manager

TPMs at Datadog see the problems hiding between teams, engineer away the work that shouldn’t require humans, and drive the company’s most technically complex and consequential bets to completion.


Technical Program Management at Datadog operates at the intersection of engineering depth and organizational reach by driving high priority, cross-functional programs that are too complex and consequential for any single team to own. We partner with engineering on solving deeply technical problems at scale by connecting the people, decisions, and context to move Datadog's most important work forward.

We build the systems and automation that make entire classes of program work self-executing. We are in the architecture conversation early, earning trust through technical judgment. We use AI to surface risks earlier, accelerate program execution plans, and find cross-team patterns that would otherwise stay hidden. The faster teams move, the more essential it is to have someone who can operate across them.


At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What We Expect:

These are the expectations we hold for every TPM at Datadog.

• Technical depth, product domain expertise, and AI systems literacy; knowing how AI solutions work, where they fail, and the scope and impact of those failures. AI brings more complexity into the picture - the technical bar is higher, not lower.

• Build the systems that reduce the need for coordination

• Identify what matters before anyone asks, and automate the rest

• Engineer program lifecycles end-to-end

• See what no single team can see and own the solution

• Drive the company's most technically complex and consequential bets through cross-functional agreement, organizational visibility, and influence

• Build AI powered automation tools and deploy them at every stage of program execution

What You'll Do:

See Across: Identify What No Single Team Can See

• Own large cross-functional programs spanning multiple engineering orgs, product, and business functions

• Proactively surface systemic risks, cross-pod dependencies, and organizational friction before they become escalations

• Build and maintain SVP-level visibility through tracked KPIs on Datadog’s highest-priority initiatives

• Uses technical credibility, trusted relationships, and product domain expertise to bridge the gaps between functions where misalignment is expensive

Engineer Away: Automate What Shouldn’t Require Humans

• Identify repeatable program archetypes and engineer the lifecycle end-to-end with AI solutions; the goal is to make the program run itself

• Build automation that reduces the need for coordination, eliminating program overhead so engineers and PMs spend time only on work requiring human judgment

• Contribute to the TPM toolkit: AI-powered risk synthesis, dependency tracking, stakeholder mapping, and program templates

• Drive the shift from manual coordination to self-executing program infrastructure

Drive Completion: Move The Company’s Most Complex Bets Forward

• Lead programs across four archetypes: deep technical, large cross-functional, product delivery, and operational

• Accelerate alignment by removing friction and overhead, not by adding process.

• Hold the judgment call on when to escalate, when to slow down, when a technical decision has organizational implications

• Own outcomes, not activities - your value is measured by what ships and what never had the chance to become a problem

Who You Are:

Required

• 5+ years of technical program management at a high-growth technology company

• Demonstrated ability to drive large, ambiguous, cross-functional programs to completion with minimal direction

• Engineering credibility earned through hands-on experience with technically complex domains — observability, infrastructure, data platforms, or AI/ML systems including model training pipelines, ML infrastructure, and GPU compute. You can go deep on architecture and system design, push back on technical decisions, and hold your own in the room with staff engineers and senior ICs.

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