Senior Product Manager San Francisco, CA

At Pave, we’re building the industry’s leading compensation platform, combining the world's largest real‑time compensation dataset with deep expertise in AI and machine learning. Our platform enables 8,500+ companies to make confidence‑aided pay decisions.

Top tier companies such as OpenAI, McDonald’s, Instacart, Atlassian, Synopsys, Stripe, Databricks, and Waymo use Pave to transform every pay decision into a competitive advantage. Pave manages more than $190 billion in total compensation spend and benchmarks 58% of Forbes AI 50.

The future of pay is real‑time and predictive, and we’re making it happen now. We raised $160 million in funding from Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures.

Pave’s R&D pillar includes data science, engineering, IT, product design, product management, and security teams. We build, maintain, and secure a platform used by more than 8,500 client organizations.

Our engineering team moves from ideation to execution in days while iterating closely with cross‑functional partners. We use Type Script, Node.js, and React on GCP.

Compensation strategy is broken down into three pillars—
compensation bands
, planning workflows
, and total rewards communication
. We build products that make these processes seamless for customers.

Over the next year, our roadmap focuses on enhancing the entire compensation lifecycle: from philosophy definition to market trend analysis, band adjustments, merit cycles, and employee communication.

The Market Data team is responsible for Pave’s core compensation benchmarking products that help companies make confident pay decisions. This role will lead product strategy and execution across our entire Market Data portfolio, driving our evolution from a high‑growth platform to an industry standard.

• Own the product vision, strategy, and roadmap for Pave’s Market Data products (PDL, MD Launch, MD Pro).
• Lead the charge to displace legacy providers by building enterprise‑grade capabilities while maintaining our innovative edge.
• Design and execute strategies to acquire data from the most strategic companies, expanding our coverage beyond our current tech stronghold.
• Partner deeply with engineering and data science to build scalable data pipelines that process millions of compensation data points.
• Spend time interfacing directly with customers, becoming the go‑to expert that both clients and internal teams rely on for benchmarking insights.
• Build a self‑reinforcing data ecosystem where network effects create an insurmountable competitive moat.
• Define success metrics and implement measurement frameworks that balance growth, quality, and customer satisfaction.

• 5+ years of product management experience, with at least 2 years building B2B data products at scale.
• Deep customer obsession with a track record of turning user insights into successful products that drive revenue growth.
• Experience competing against entrenched incumbents and confidence to make long‑term platform investments.
• Strong understanding of data quality, enrichment, and validation challenges at enterprise scale.
• Ability to influence without authority and build trust across engineering, data science, design, and go‑to‑market teams.
• Bonus:
  Technical proficiency to write SQL queries, analyze data patterns, and engage deeply with engineering on architecture decisions.
• Bonus:
  Experience in HR tech, compensation, or building products for Total Rewards professionals.

Your total rewards package will include equity, top‑notch medical, dental, vision coverage, an unlimited PTO policy, and other region‑specific benefits. Salary ranges for this position depend on level and interview performance.

(P4) Senior: $174,000 – $215,000
(P5) Staff: $204,000 – $252,000

• Complete Health Coverage:
  Comprehensive medical, dental, and vision coverage.
• Time off & Flexibility:
  Flexible PTO and the ability to work from anywhere for a month.
• Meals & Snacks:
  Lunch and dinner stipends and fully stocked kitchens.
• Professional Development:
  Quarterly education stipend.
• Family Support:
  Robust parental leave.
• Commuter Assistance:
  Commuter stipend to help work in person.

As set forth in Pave’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.