rocketlab

Senior Compensation Partner - Manufacturing & Engineering

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At a Glance

Location
Long Beach, California, United States
Experience
8+ years
Posted
2026-07-10T18:16:01-04:00

Key Requirements

Required Skills

AIExcel

Domain Knowledge

  • Education
  • Government
  • Insurance
  • Manufacturing
  • Medical

Requirements

Experience leading internal and external market analysis

Prior experience supporting and employees base of engineers and manufacturing professionals along with mergers and acquisitions

Experience developing stock-based compensation packages

Experience using artificial intelligence (AI) tools such as Compa, Pave, Open Code

Experience using Radford compensation survey

Department of Commerce, as applicable.

Compensation & Benefits

Based out of Rocket Lab's global headquarters in Long Beach, CA, the Senior Compensation Partner is responsible for providing strategic analysis and assisting with the design, implementation, and administration of executive and broad-based compensation decisions for new hires and internal employees. You will report directly to the Director, Total Rewards and support the global People & Culture organization with deliverables required for internal leadership, board of directors, and investors. This role will support creating and driving the strategy, policy, and programs spanning all areas of compensation, benefits, and equity to ensure pay practices are designed to drive high performance and attract and retain world class talent. The candidate will have the opportunity to work directly with business leaders to deliver on Rocket Lab’s compensation practices and programs.

Responsibilities

Act as business partner to the People & Culture (P&C) team along with business leadership to support their decision making for hiring, promotions, specific organizational initiatives, and annual compensation programs

Conduct research, quantitative analysis, data modeling, data mining, and the presentation of data to see beyond the numbers and understand trends to drive strategic decisions around people.

Aggregate data and participate in compensation surveys as needed

Research and provide recommendations for innovative compensation tools and resources with an emphasis on artificial intelligence (AI).

Assist with the development of a comprehensive total rewards strategy and roadmap

Collaborate with IT on process improvements and systems enhancements