Technical Program Manager II

Datadog; New York (NY); Hybrid; USD 146,000 - 182,000; Full time

Benefits offered by this job

New hire stock equity (RSUs)

Employee stock purchase plan (ESPP)

Professional development

Job summary

Datadog is seeking a Technical Program Manager to lead large cross-functional programs spanning engineering, product, and business units. You will identify risks early, drive end-to-end execution with AI-enabled automation, and build trust with senior stakeholders.

You will influence architecture decisions, partner with AI/ML teams, and create templates and templates that scale program lifecycles. This role combines technical depth with organizational leadership in a hybrid work setting.

Qualifications

• 3+ years of technical program management at a high-growth tech company (inferred from role)
• Demonstrated ability to drive large, ambiguous cross-functional programs to completion with minimal direction
• Engineering credibility with technically complex domains such as observability, infra, data platforms, or AI/ML systems

Responsibilities

• Own large cross-functional programs spanning multiple engineering orgs, product, and business functions
• Proactively surface systemic risks and cross-pod dependencies before escalations
• Build and maintain SVP-level visibility through KPIs on Datadog’s top initiatives
• Bridge gaps between functions using technical credibility and product domain expertise

Skills

Program management

AI systems literacy

Cross-functional collaboration

Communication skills

AI practitioner

Tools

ML pipelines

ML infrastructure

GPU compute

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.

About the Role

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 will 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 elevate, 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

What we are looking for

Required

• 3+ 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 Benefits

• 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+

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

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.

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:

$145,600 — $182,000 USD

About Datadog:

Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

Equal Opportunity at Datadog:

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.

Privacy and AI Guidelines:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.