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Salary: USD 160,000 - 180,000 / annual
OpenGov is seeking a Senior Compensation Manager to lead the evolution and scaling 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:
Compensation Advisory & Program Management: Administer and evolve compensation programs including comp cycles, promotions, and variable pay. Maintain integrity of compensation data and systems, including internal job architecture, career paths, salary scales, and comp ranges. Serve as strategic advisor to HRBPs, People Managers, and FP&A on compensation guidance and recommendations. Build consultative relationships with cross-functional partners.
Equity Planning: Own equity planning and administration, including new-hire and refresh grant guidelines, vesting structures, and equity budget modeling. Partner with Finance and Legal on equity program design and compliance. Advise HRBPs and business leaders on equity-related questions for offers, promotions, and retention.
Strategic Analytics: Design and build compensation metrics, reports, and tools that inform program decisions and forecast outcomes. Lead competitive intelligence on market trends and talent movement, particularly for premium job families (AI/ML, engineering, data science). Analyze compensation data to surface trends, outliers, and risk areas.
Enablement: Create and deploy compensation content and training for HRBPs, Talent Acquisition, Managers, and Employees. Promote understanding of compensation philosophy and practices across the organization.
AI-Enabled Compensation Operations: Design and build AI-powered workflows and tools that automate recurring compensation work—benchmarking, offer modeling, job description generation, and comp cycle reporting. Integrate AI tools into daily compensation work to increase speed and consistency. Evaluate where AI can responsibly replace manual steps.
OpenGov is the leader in AI and ERP solutions for local and state governments, with 2,000+ cities, counties, state agencies, school districts, and special districts relying on the OpenGov Public Service Platform. The company has 800+ employees globally, with headquarters in San Francisco and 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 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 such as Finance, Statistics, or Economics preferred
- Ability to present and distill complex topics in concise manner to diverse stakeholders
- Strong consultative and advisory skills with track record of building trusted partnerships
- 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
