Datadog

Senior Technical Program Manager

Datadog$184K — $230K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of technical program management experience in a high-growth technology company.
  • Proven ability to lead large, cross-functional programs with little guidance.
  • Hands-on experience in observability, infrastructure, data platforms, or AI/ML systems.
  • Strong communication skills with the ability to engage at VP+ levels.
  • Active use of AI tools in work, demonstrating practical applications.
  • Experience in building tools or automated workflows that enhance efficiency.

Responsibilities

  • Own complex programs that span multiple teams and functions.
  • Proactively identify and address risks and dependencies before they escalate.
  • Maintain visibility on initiatives through tracked KPIs at senior leadership levels.
  • Bridge gaps between disparate functions using technical credibility and domain expertise.
  • Engineer automated lifecycles to minimize manual coordination.
  • Develop AI-powered tools to enhance program execution and reporting.
  • Lead diverse program types including technical and operational projects.

Benefits

  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP).
  • Continuous professional development and career growth opportunities.
  • Dedicated mentor and engineering buddy program for onboarding support.
  • Inclusive company culture with active employee resource groups and team events.
  • Comprehensive global benefits including mental health services for employees and their dependents.
Full Job Description
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.

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.
  • Track record of earning trust with senior engineering and product leadership - not through title, through judgment
  • Strong written and verbal communication; comfortable owning the narrative at VP+ levels
  • Active AI practitioner, you use AI tools in your daily work and can demonstrate how they've changed your leverage
  • You have built something, a tool, a template, an automated workflow, that other people use

Strong Signal
  • You identified a systemic problem no one asked you to find and built the operating system to solve it
  • 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

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:
  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
  • Continuous professional development, product training, and career pathing
  • Assigned TPM mentor and engineering buddy program for learning and relationship building
  • An inclusive company culture, active Community Guilds (Datadog employee resource groups), in-person team summits, local office programming
  • Competitive global benefits; free, mental health benefits for employees and dependents age 6+

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

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:

$184,000-$230,000 USD

#LI-Hybrid

About Datadog

Datadog is a monitoring and analytics platform for cloud-scale infrastructure and applications. The company was founded in 2010 by Olivier Pomel and Alexis Lê-Quôc and is headquartered in New York City. Datadog's platform assists organizations in improving agility, increasing efficiency, and providing end-to-end visibility across dynamic or high-scale infrastructures. The company's SaaS-based data analytics platform integrates and automates infrastructure monitoring, application performance monitoring, and log management to provide unified, real-time observability of customers' entire technology stack. Datadog's customers include Airbnb, Twilio, and The Washington Post.
Learn more about Datadog
Size
3,200 employees
Market Cap
$22.5 billion
Industry
Net Income
-$24.5 million
Founded
2010
Revenue
$603.4 million
NASDAQ

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