The Research & Design Org

Pave's R&D pillar includes our data science, engineering, information technology, product design, product management, and security teams. This organization builds, maintains, and secures a platform used by more than 8,500+ client organizations.

Our engineering team moves between ideation, scoping, and execution in a matter of days while closely iterating with cross-functional partners on requirements. At Pave, we use TypeScript, Node.js, and React, hosted on GCP.

Compensation strategy is broken down into 3 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 is focused on enhancing the entire compensation lifecycle: from philosophy definition to market trend analysis, band adjustments, merit cycles, and employee communication. We're seeking passionate engineers who are excited about building robust, data-rich systems that simplify complex compensation processes at scale.

The Market Data Team @ Pave

The Market Data team is responsible for Pave's core compensation benchmarking products that help companies make confident pay decisions. We're solving the critical challenge of transforming fragmented, outdated compensation data into real-time, accurate insights that enterprises trust for their most important people decisions. This role will lead product strategy and execution across our entire Market Data portfolio, driving our evolution from the fastest-growing compensation platform to the industry standard that displaces legacy incumbents.

What You'll Do

• 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 with industry-leading accuracy
• Spend time interfacing directly with customers, becoming the go-to expert that both clients and internal teams rely on for compensation 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

What You'll Bring

• 5+ years of product management experience, with at least 2 years building B2B data products or similar products at scale
• Deep customer obsession with a track record of turning user insights into successful products that drive significant revenue growth
• Experience competing against entrenched incumbents and building the conviction to make bold bets on 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

Compensation, It's What We Do.

Salary is just one component of Pave's total compensation package for employees. Your total rewards package at Pave will include equity, top-notch medical, dental, and vision coverage, an unlimited PTO policy, and many other region-specific benefits. Your level is based on our assessment of your interview performance and experience, which you can always ask the hiring manager about to understand in more detail. This salary range may include multiple levels.

The targeted cash compensation for this position is (level depends on experience and performance in the interview process):

$195,000 - $215,000