Compensation Program Manager

The Team:

At Datadog, People Operations is more than just human resources—it’s a data-driven team dedicated to constantly improving the way we hire, develop, and support our most valuable asset: our people. Our People team are strategic problem solvers who work closely with leadership and employees to ensure that Datadog keeps scaling smoothly and remains a great place to work.

The Opportunity:

As a Compensation Program Manager, you will combine compensation expertise, program management, analytics, systems thinking, and stakeholder management to help build and scale our compensation programs. You will own critical compensation processes from strategy and design through execution, communications, enablement, and continuous improvement.

This role is ideal for someone who enjoys both strategic problem solving and hands-on program execution, can translate complex compensation concepts into simple experiences for managers and employees, and thrives in a highly cross-functional environment.

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:

• Develop and execute scalable compensation programs and processes, including compensation and equity cycles, governance, timelines, and tools, in partnership with People, Finance, HRIS, Payroll, Legal, and business leaders

• Build dynamic compensation models and scenario analyses to support budgeting, workforce planning, and compensation design for cash/equity

• Provide operational analysis, reporting, and insights related to compensation programs, trends, market data, and internal equity

• Oversee compensation functionality and data in our systems and partner with HRIS and Analytics to continually enhance compensation and total rewards tooling

• Lead communications and change management for compensation programs and processes, including FAQs, manager resources, training, and enablement

• Partner cross-functionally to drive complex compensation initiatives from design through implementation and continuously improve processes and employee experience

Who You Are:

• Five to seven years or more, of compensation or related experience

• A flexible, low-ego approach to building and scaling the function, comfortable operating across high-level strategic program design and hands-on analytics, reporting, data cleanup, and operational execution

• Experience managing compensation programs and annual cycles, including equity programs and/or other variable compensation

• Strong analytical rigor and experience building dynamic models and scenario analyses

• Experience implementing and using compensation benchmarking data, market pricing methodologies, reporting, and compensation technology

• A good understanding of RSUs and other equity offerings

• Strong business acumen and the ability to translate complex compensation concepts into digestible information for leaders and employees

• A “systems” thinker oriented towards process improvement, scalability, and efficiency

• Advanced capabilities in Excel

• Strong knowledge of Workday functionality and reporting

• Exceptional cross-functional communication and stakeholder management skills, with experience developing communications, training, and change-management materials

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 & Growth:

• Generous and competitive global and US benefits

• New hire stock equity (RSUs) and employee stock purchase plan

• Continuous career development and pathing opportunities

• Product training to develop an in-depth understanding of our product and space

• Best in breed onboarding

• Internal mentor and buddy program cross-departmentally

• Friendly and inclusive workplace culture

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:

$143,000—$190,000 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.

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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.