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Salary: USD 160,000 - 180,000 / annual
OpenGov is seeking a Senior Compensation Manager to lead the evolution and scale of compensation programs aligned with business objectives. This is a player-coach role combining hands-on program ownership with strategic analytics and AI-enabled operations.
You will serve as a trusted compensation advisor to HRBPs, People Managers, Talent Acquisition, and cross-functional partners, helping them navigate compensation decisions with clarity and confidence. You'll own the full compensation toolkit—program design, cycle execution, equity planning, and manager enablement—while building data-driven infrastructure and automated workflows that enable compensation to scale with the business.
Key responsibilities include:
• Administering and evolving compensation programs (comp cycles, promotions, variable pay) as project lead
• Maintaining compensation data integrity, including job architecture, career paths, salary scales, and comp ranges aligned with compensation philosophy
• Providing strategic advisory to HRBPs, People Managers, and FP&A on compensation guidance and recommendations for new and existing employees, ensuring internal equity, external competitiveness, and budget alignment
• Owning equity planning and administration, including new-hire and refresh grant guidelines, vesting structures, and equity budget modeling
• Partnering with Finance and Legal on equity program design, plan changes, and compliance
• Designing and building compensation metrics, reports, and tools that inform program decisions and forecast outcomes
• Leading competitive intelligence on market trends and talent movement, particularly for premium job families (AI/ML, engineering, data science)
• Analyzing compensation data to surface trends, outliers, and risk areas, translating findings into actionable recommendations
• Creating and deploying compensation content and training for HRBPs, Talent Acquisition, Managers, and Employees
• Designing and building AI-powered workflows and tools that automate recurring compensation work—benchmarking, offer modeling, job description generation, and comp cycle reporting
• Integrating AI tools into daily compensation work to increase speed and consistency, with clear judgment on where human review must remain in the loop
OpenGov is the leader in AI and ERP solutions for local and state governments, serving more than 2,000 cities, counties, state agencies, school districts, and special districts. The company operates in a fast-paced, results-driven environment with 800+ employees globally, headquartered in San Francisco with offices in Atlanta, Boston, Chicago, Dubuque, Dallas, and Pune.
REQUIREMENTS:
• 10+ years of experience in compensation, consulting, or related field in high-growth, fast-paced environment
• Experience building compensation programs, managing projects, and scaling processes with company growth
• Experience with equity program design and administration, including grant guidelines, vesting structures, and equity budget modeling (preferred)
• Advanced proficiency with Workday Advanced Compensation (strongly preferred)
• Strong analytical and Excel/Google Sheets skills required to analyze data and build meaningful, understandable models and reports
• Demonstrated, hands-on experience building AI-powered tools or workflows in compensation/HR context (e.g., automating benchmarking, modeling, or reporting tasks)
• Knowledge of federal, state, and local laws impacting people operations and compensation
• Experience with base pay and incentive plans required
• Experience with global compensation (strongly preferred)
• Bachelor's degree or equivalent work experience required; strong background in data/quantitative analysis (Finance, Statistics, Economics) preferred
• Ability to present and distill complex topics concisely to diverse stakeholders
• Strong consultative and advisory skills with track record of building trusted partnerships with cross-functional stakeholders
• Ability to independently problem-solve and work under pressure in deadline-driven, rapidly changing organization
• Ability to exercise judgment and discretion in maintaining confidential and sensitive information
• Ability to gain alignment and represent common point of view across multiple stakeholders
