datadog
Engineering Compensation Partner
At a Glance
- Location
- New York, United States
- Work Regime
- hybrid
- Experience
- 5+ years
- Posted
- 2026-07-14T06:13:37-04:00
Key Requirements
Domain Knowledge
- SaaS
Benefits & Perks
ous and competitive benefits package Continuous career development and pathi
Requirements
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.
Datadog values people from all walks of life.
Compensation & Benefits
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
Responsibilities
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