Senior Compensation Partner | Palo Alto, CA, USA

Senior Compensation Partner Introduction SymphonyAI Retail is a leading provider of advanced AI-driven solutions and services specifically designed for the retail industry. We empower retailers and consumer packaged goods (CPG) companies with innovative technology to enhance their operations, optimize decision-making, and deliver exceptional customer experiences. We are seeking a Senior Compensation Partner to join our Total Rewards team. This is a high-impact individual contributor role responsible for shaping and executing our global compensation strategy across cash and equity programs. This role goes beyond program management-you will serve as a trusted advisor to HR and business leaders , delivering data-driven insights, building scalable compensation infrastructure, and ensuring our programs are competitive, equitable, and aligned to business performance. Job Description What You'll Do Partner & Advise

• Serve as a strategic compensation partner to HR Business and Talent Acquisition Partners
• Provide guidance on offers, promotions, internal mobility, and pay decisions
• Translate market data and internal insights into clear, actionable recommendations
• Teach HR Business Partners and Talent Acquisition partners how to self-serve their recommendations using AI, company architecture, and other compensation tools. Analyze & Deliver Insights
• Lead market pricing, benchmarking, and job evaluation activities
• Conduct position-to-market and pay competitiveness analysis
• Develop monthly reporting and dashboards to support hiring, workforce planning, and compensation decisions
• Deliver clear, executive-ready insights that inform business strategy
• Leverage AI to automate, optimize and scale Design Compensation Programs
• Support the design and evolution of compensation programs, including:
• Salary structures
• Bonus and incentive plans
• Equity grant strategies (new hire, refresh, retention)
• Ensure programs are competitive, scalable, and aligned to company goals Own Compensation Systems
• Own and manage Pave as our compensation system
• Translate compensation strategy into system workflows and configurations
• Ensure data integrity and enable self-service access for HR, managers, and employees Lead Compensation Cycles
• Support and execute annual compensation processes, including:
• Merit increases
• Bonus planning
• Promotions
• Equity refresh cycles
• Build scalable processes, tools, and governance to ensure consistency Support Equity Programs
• Partner on equity strategy and planning, including new hire and retention grants
• Track equity usage against available pool and support annual planning
• Collaborate with internal partners and the Stock Administrator on grant execution and reporting
• Own and manage Shareworks as our equity management system What You Bring
• 8+ years of experience in corporate compensation (global experience required)
• Strong expertise in compensation analysis, benchmarking, and program design
• Working knowledge of equity compensation programs
• Experience with compensation systems (Pave strongly preferred)
• Advanced Excel and data analysis skills
• Ability to translate complex data into clear, actionable insights
• Strong communication and partnership skills
• AI-curiosity and developing -> strong competency Why Join Us
• Opportunity to shape compensation strategy in a dynamic, high-growth environment
• High visibility and impact across the organization
• Collaborative, fast-paced team focused on building scalable and modern HR practices

About Us About Us:

SymphonyAI builds Vertical AI applications that help enterprises tackle their most complex, high-value challenges-like stopping financial crime, improving store performance, and boosting manufacturing efficiency. Trusted by more than 2,000 enterprise customers around the globe including 200 of the top financial institutions, top 25 CPGs, and many of the world's largest grocers and industrial manufacturers, SymphonyAI delivers domain-trained applications and pre-built agents, ready to work on day one. #LI-DC1 #LI-REMOTE