Director, Compensation Programs
DatadogNew York, New York, USAPosted 28 April 2026
Job Description
We are seeking a strategic and analytical, forward-thinking Director, Compensation Programs to lead the design, implementation, and management of global compensation strategies across a fast-paced, high growth landscape. This role will ensure our compensation programs are competitive, equitable, and aligned with business objectives, enabling us to attract, retain, and motivate top talent in a highly competitive market.
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:
Lead the strategy, design, and execution of global compensation programs, including base pay, incentives, and equity
Oversee end-to-end compensation operations, including annual cycles (merit, bonus, promotions, equity refresh) and incentive plan management
Drive market competitiveness and pay equity through benchmarking, analytics, and continuous program evaluation
Ensure compliance with compensation regulations while monitoring industry trends and evolving best practices
Partner with senior leadership and cross-functional teams to deliver data-driven insights, while building and leading a high-performing compensation team
Who you are:
10+ years of progressive compensation experience, including leadership roles and global or multi-region program management
Deep expertise in compensation design, job architecture, and incentive programs
Strong analytical skills with the ability to interpret data and translate insights into business decisions
Strategic mindset with strong business acumen and the ability to influence senior leaders
Excellent leadership, communication, and execution skills, with high attention to detail; experience in tech or high-growth environments a plus
Why Join Us
Opportunity to shape and scale compensation strategy at a critical stage of growth
High visibility role with direct impact on talent and business success
Collaborative, innovative, and inclusive work environment
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:
Best-in-breed onboarding
Generous global benefits
Intra-departmental mentor and buddy program for in-house networking
New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
Continuous professional development, product training, and career pathing
An inclusive company culture, able to join our Community Guilds and Inclusion Talks
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.
The reasonably estimated yearly salary for this role at Datadog is:
$185,000
$290,000 USD
About Datadog:
Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excell ... (truncated, view full listing at source)
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