Intrinsic Robotics

Intrinsic Robotics

Compensation and Analytics Program Manager

Mountain View, California · Full-time

Sponsorship not specified$147k-$201kDetected 93 days ago
SQLNegotiationM&ACompensationRobotics

About the role

  • Intrinsic is an AI robotics group at Google aiming to reimagine the potential of industrial robotics.
  • Our team believes that advances in AI, perception and simulation will redefine what's possible for industrial robotics in the near future - with software and data at the core.
  • Additionally, given our small team size, this role will flex as a general program manager and operations analyst across the People space as needed.

Responsibilities

  • Deliver Compensation Programs
  • Own Compensation Operations
  • Lead Offer Negotiation Strategy
  • Partner with Recruiting and Finance to enhance our offer compensation strategy that ensures we continue to win top talent at a sustainable cost.
  • Drive Insights through People Analytics
  • Advocate for and drive improvements where possible.
  • Create automated audits and other checks to ensure data integrity.
  • Advanced analytical skills (in SQL or similar) that enable you to build dashboards and automated reporting for the compensation function and the broader People Team.
  • Familiarity with best-in-class tools, vendors, and partners across the Compensation space (e.g. Pave, Radford).

Skills

  • 8 years of experience in Compensation in a high-growth environment.
  • Mission-first, user-first attitude and approach.
  • Clear and direct communication.
  • Well-organized with high attention to detail, ensuring compensation data is always correct.
  • Knowledge of compensation norms and regulations across the United States, Germany, Singapore, Switzerland, and Canada.
  • Ability to benchmark compensation data, using tools such as Radford and Pave.

Compensation

  • Deliver our annual compensation planning program in alignment with our pay-for-performance philosophy.

This listing is sourced directly from Intrinsic Robotics's careers page and normalized into a canonical job model.