Compensation Business Partner

ThoughtSpot ThoughtSpot · Data AI · Phoenix, US, United States

ThoughtSpot is seeking a Compensation Business Partner to join their Total Rewards team. This role involves designing, implementing, and advising on compensation programs to attract, retain, and engage talent in North America. The position requires partnering with managers and HRBPs, designing compensation structures, leading market analysis, managing compensation cycles, and monitoring regulatory requirements. The role also involves using advanced analytics and presenting data-driven insights. A key requirement for all ThoughtSpot roles is AI literacy and the ability to integrate AI tools into daily workflows for increased productivity and quality, including writing effective prompts and demonstrating curiosity, adaptability, and critical thinking regarding AI usage.

What you'd actually do

  1. Partner with People Managers, HR Business Partners, and Talent Acquisition to develop and advise on compensation strategies and pay programs across North America
  2. Design and recommend compensation structures (base salary, variable pay, sales incentives, equity/long-term incentives) aligned to internal equity and competitive market benchmarks
  3. Lead compensation benchmarking, market analysis, and pay positioning strategies for U.S. and Canadian markets
  4. Support strategic initiatives such as job architecture evolution, compensation frameworks for critical talent, and program effectiveness reviews
  5. Manage annual compensation cycles (merit increases, bonus planning, equity refresh) including budgeting, process design, and execution

Skills

Required

  • 8–12 years of progressive experience in compensation or total rewards, preferably supporting North American organizations
  • Proven experience designing compensation structures, analyzing market data, and scaling programs in high-growth environments
  • Strong project management skills with the ability to work independently and cross-functionally
  • Advanced proficiency in Excel or Google Sheets for modeling, data analysis, and reporting
  • Hands-on experience managing U.S. and/or Canadian salary and bonus review cycles and participating in compensation surveys
  • Experience with Workday or a comparable HRIS platform required
  • AI literacy and workflow integration
  • Leverage AI tools (industry-leading LLMs) to increase productivity
  • Write effective prompts to get the most accurate and creative results from AI tools
  • Curiosity in exploring new AI tools
  • Adaptability to quickly learn and implement new, emerging AI technologies
  • Critical thinking to know when to identify when AI should be used versus when human judgement is necessary

Nice to have

  • Postgraduate degree in Human Resources, Business, Finance, or related field
  • Familiarity with job evaluation frameworks (e.g., Aon, Mercer, Willis Towers Watson) strongly preferred

What the JD emphasized

  • Workday experience preferred
  • AI literacy and workflow integration
  • Leverage AI tools (industry-leading LLMs) to increase productivity
  • Write effective prompts to get the most accurate and creative results from AI tools
  • Curiosity in exploring new AI tools
  • Adaptability to quickly learn and implement new, emerging AI technologies
  • Critical thinking to know when to identify when AI should be used versus when human judgement is necessary