Engineering Compensation Partner

United States Digital Space LLC; New York (NY); Hybrid; USD 143,000 - 209,000; Full time

Benefits offered by this job

New hire stock equity (RSU)

Employee stock purchase plan (ESPP)

Professional development

Mentor program

Inclusive culture

Generous benefits

Career pathing

Job summary

Datadog is building the Compensation function with the People team to scale with growth and empower rewarding employees on this exciting path. As one of the first in an emerging function, you will shape the role and set its path.

The role collaborates across Recruiting, HR Partners, and leadership to drive compensation decisions for GTM, Technical Solutions, and G&A. You will use external data, maintain a current job catalog, and bring industry insights on stock and benefits.

Qualifications

• 5+ years of compensation experience with survey data.
• Experience aligning compensation to drive performance and retention.
• Experience in high-growth SaaS/tech with global teams.
• Ability to translate data into actionable insights for leadership.

Responsibilities

• Advise on real-time offers with global recruiting as a trusted advisor.
• Influence HRBP, Recruiting, managers and leadership on compensation decisions.
• Maintain a competitive job catalog for Technical Solutions and G&A teams.
• Share industry trends and stock-compensation best practices.
• Support data gathering, analytics, reporting, and benchmarking.
• Suggest improvements when programs do not meet business needs.

Skills

Compensation strategy

Data analysis

Stakeholder influence

Salary benchmarking

Job description

We’re building the Compensation functions with the People team to scale with and support one of the fastest growing companies in tech. We're experiencing tremendous growth worldwide, and you will be key to incentivizing and rewarding employees on this exciting path. As one of the first people in an emerging function, you have a unique opportunity to put your stamp on the role and set the path for the future.

At the company, 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:

• Collaborate closely with global business recruiting team on offers in real time as a trusted advisor
• Consult with and influence HR Business Partners, Recruiting, and Managers + Leadership to help drive compensation decisions and strategy critical for our Go To Market functions (sale, marketing)
• Use external data and a strong understanding of our business, maintain a competitive and current job catalog for all of our Technical Solutions and General & Administration teams
• Provide regular updates on industry trends and best practices, especially with respect to stock, to help ensure our overall Compensation strategy is highly competitive
• Partner with compensation colleagues to support the compensation team’s internal data gathering, modeling, analytics, reporting, and insights, using recruiting intelligence, manager knowledge, and benchmarking surveys to make sure our compensation approach is market-leading, scalable, and internally aligned
• Identify when our standard program is not meeting the needs of the business and proactively suggest improvements

Who You Are:

• Experience in 5+ years of Compensation work, with expert-level understanding of compensation survey data and providers, and industry best practices
• You have supported technical solutions and/or general administration teams understand how to align compensation strategies to drive performance and retention.
• You’ve worked in public or high-growth SaaS/technology companies, ideally supporting global teams including Technical Solutions organizations.
• You are both analytically rigorous and business savvy, able to translate data into actionable insights and influence decisions across cross-functional stakeholders.

The company 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 (RSU) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intra-departmental mentor and buddy program for in-house networking
• An inclusive company culture, opportunity to join our Community Guilds
• Generous and competitive benefits package
• Continuous career development and pathing opportunities

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

#LI-Hybrid

the company 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, the company 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 the company is: $143,000 — $209,000 USD

About the company:

the company 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, the company enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and the company Learning Center.

Equal Opportunity at the company:

the company 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.

Privacy and AI Guidelines:

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