SeniorStaff Product Manager

Pave

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profile Job Location:

San Francisco, CA - USA

profile Monthly Salary: $ 204000 - 252000
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

Who We Are

At Pave were building the industrys leading compensation platform combining the worlds largest real-time compensation dataset with deep expertise in AI and machine learning. Our platform is perfecting the art and science of pay to give 8500 companies unparalleled confidence in every compensation decision.

Top tier companies like OpenAI McDonalds Instacart Atlassian Synopsys Stripe Databricks and Waymo use Pave transforming every pay decision into a competitive advantage. $190 billion in total compensation spend is managed in our workflows and 58% of Forbes AI 50 use Pave to benchmark compensation.

The future of pay is real-time & predictive and were making it happen right now. Weve raised $160M in funding from leading investors like Andreessen Horowitz Index Ventures Y Combinator Bessemer Venture Partners and Craft Ventures.

The Research & Design Org

Paves 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 8500 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 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. Were 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 Paves core compensation benchmarking products that help companies make confident pay decisions. Were solving the critical challenge of transforming fragmented outdated compensation data into real-time accurate insights that enterprises trust for their most important people decisions.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 Youll Do

  • Own the product vision strategy and roadmap for Paves 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 Youll 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 Its What We Do.

Salary is just one component of Paves 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):

(P4) Senior: $174000 - $215000
(P5) Staff: $204000 - $252000

Life @ Pave

Since being founded in 2019 Pave has established a robust global footprint. Headquartered in San Franciscos Financial District we operate strategic regional hubs across New York Citys Flatiron District Salt Lake City and the United Kingdom. We cultivate a vibrant collaborative workplace culture through our hybrid model bringing teams together in-person on Mondays Tuesdays Thursdays and Fridays to foster innovation and strengthen professional relationships

Benefits @ Pave

At Pave career advancement drives everythingroles expand responsibilities deepen and compensation rises alongside your professional growth.

What we provide

  • Complete Health Coverage: Comprehensive Medical Dental and Vision coverage for you and your family with plenty of options to suit your needs
  • Time off & Flexibility: Flexible PTO and the ability to work from anywhere in the world for a month
  • Meals & Snacks: Lunch & dinner stipends as well as fully stocked kitchens to fuel you
  • Professional Development: Quarterly education stipend to continuously grow
  • Family Support: Robust parental leave to bond with your new family
  • Commuter Assistance: A commuter stipend to help you collaborate in person

Vision - Our vision is to unlock a labor market built on trust

Mission - Our teams mission is to build confidence in every compensation decision

Are you ready to help our customers make smarter more effective compensation decisions


Required Experience:

Staff IC

Who We AreAt Pave were building the industrys leading compensation platform combining the worlds largest real-time compensation dataset with deep expertise in AI and machine learning. Our platform is perfecting the art and science of pay to give 8500 companies unparalleled confidence in every compen...
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Key Skills

  • Time Management
  • Data Analytics
  • Analytical
  • Agile
  • Requirement Gathering
  • Strategic thinking
  • Visio
  • Communication
  • Problem Solving
  • Market Research
  • UML
  • Cross Functional Teams

About Company

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Pave combines real-time market data with streamlined compensation workflows. Optimally manage your biggest expense. Build confidence in every comp decision

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