Datadog
Technical Program Manager II
New York, New York, USA · Mid
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About the role
- 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.
Responsibilities
- Own large cross-functional programs spanning multiple engineering orgs, product, and business functions
- Build and maintain SVP-level visibility through tracked KPIs on Datadog's highest-priority initiatives
- Build automation that reduces the need for coordination, eliminating program overhead so engineers and PMs spend time only on work requiring human judgment
- Drive the shift from manual coordination to self-executing program infrastructure
- Own outcomes, not activities - your value is measured by what ships and what never had the chance to become a problem
- Drive Completion: Move The Company's Most Complex Bets Forward
Requirements
- 3+ years of technical program management at a high-growth technology company
- Track record of earning trust with senior engineering and product leadership - not through title, through judgment
- You have built something, a tool, a template, an automated workflow, that other people use
- You automated a program lifecycle or workflow that previously required manual coordination
- You have operated in observability, infrastructure, data platforms, or AI/ML environments and can speak to the technical architecture, not just the program execution
- You have managed programs with real unit economics implications - cloud cost, capacity, margin
Compensation
- $145,600 - $182,000 USD
Benefits
- Datadog offers a competitive salary and equity package, and may include variable compensation.
Company info
- It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers.
This listing is sourced directly from Datadog's careers page and normalized into a canonical job model.