Global Compensation Partner — Tech & GTM Growth

Datadog

New York (NY)

Hybrid

USD 143,000 - 209,000

Full time

14 days+
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Benefits offered by this job

New hire stock equity (RSU)
Employee stock purchase plan (ESPP)
Career development
Mentor program

Job summary

Datadog is seeking a seasoned compensation professional to shape and scale our pay programs for a fast‑moving tech company. You will partner with HR, Recruiting and leadership to influence offers and drive market-aligned compensation strategy across global teams including sales, marketing, and technical solutions.

Use external data to maintain current job catalogs, stay ahead of industry trends, and ensure competitive stock-based incentives.

Qualifications

  • 5+ years of compensation work with expert-level understanding of survey data.
  • Experience supporting technical solutions and/or general administration teams.
  • Background in public or high-growth SaaS/tech companies with global teams.
  • Analytically rigorous and able to translate data into actionable insights.

Responsibilities

  • Collaborate with global recruiting team on offers as a trusted advisor.
  • Consult with HRBPs, Recruiting, Managers and Leadership to drive compensation decisions for GTM functions.
  • Maintain a competitive job catalog using external data for Technical Solutions and GA teams.
  • Provide updates on industry trends, especially stock, to keep strategy competitive.
  • Partner with compensation colleagues on data gathering, modeling, analytics and reporting.
  • Identify when programs fail to meet business needs and suggest improvements.

Skills

Compensation data analysis
Stakeholder influence
Go-to-market compensation

Job description

Datadog is seeking a seasoned compensation professional to shape and scale our pay programs for a fast‑moving tech company. You will partner with HR, Recruiting and leadership to influence offers and drive market-aligned compensation strategy across global teams including sales, marketing, and technical solutions.

Use external data to maintain current job catalogs, stay ahead of industry trends, and ensure competitive stock-based incentives.

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