AI-Driven Compensation Program Manager

Snap Inc.; San Francisco (CA); On-site; USD 157,000 - 235,000; Full time

Benefits offered by this job

Parental leave

Medical coverage

Mental health support

Job summary

Snap Inc. is seeking a Compensation Program Manager to own end-to-end compensation planning cycles for base, bonus, and equity, partnering with Finance, Legal, HRBPs, and the People Tech team to design and rollout programs.

You will champion AI-enabled workflows, analyze market trends with Radford, Pave, and Compa, and build enablement resources for leaders while driving equity operations improvements.

Qualifications

• Bachelor's degree or equivalent years of experience in a related field.
• 5+ years of compensation experience at a technology company with end-to-end ownership of compensation programs or planning cycles.
• Experience serving as a compensation business partner to client groups and/or senior leaders.
• Hands-on experience with an HRIS platform (Workday strongly preferred) and market benchmarking tools (Radford, Pave, Compa).

Responsibilities

• Own end-to-end execution of Snap's compensation planning cycles (base, bonus, and equity).
• Lead select compensation programs and projects from design through rollout with cross-functional collaboration.
• Act as AI champion for the Compensation team: manage AI-enabled workflows and enablement resources.
• Analyze competitive trends in cash, equity, and total rewards using benchmarking tools.
• Build and deliver enablement resources to help leaders apply Snap's compensation philosophy.
• Support equity operations and improve the employee experience around equity.

Skills

Analytical skills

Communication

Project management

Global compensation

Stakeholder management

AI in compensation

Education

Bachelor's degree in Business, Human Resources, Finance, or related field

Tools

Workday

Radford

Pave

Compa

Schwab EquiView

BigQuery

SQL

Job description

Snap Inc. is seeking a Compensation Program Manager to own end-to-end compensation planning cycles for base, bonus, and equity, partnering with Finance, Legal, HRBPs, and the People Tech team to design and rollout programs.

You will champion AI-enabled workflows, analyze market trends with Radford, Pave, and Compa, and build enablement resources for leaders while driving equity operations improvements.