Paveakatrove information technologies

Account Director, Market Data

San Francisco, CA & New York, NY Full Time

Who We Are

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 is perfecting the art and science of pay to give 8,500+ companies unparalleled confidence in every compensation decision.

Top tier companies like OpenAI, McDonald’s, 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 we’re making it happen right now. We’ve raised $160M in funding from leading investors like Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures.

The Market Data Strategy and Ops Team @ Pave

Pave is building the largest real-time compensation market dataset, and our strategy and operations team drives this goal forward. We partner with customers, R&D, and Pave's leadership to determine the why, when, and how for our biggest data challenges while leading the execution of solutions. This role will primarily focus on accelerating customer data acquisition, while also supporting data throughput, product strategy, and other key initiatives.

What You'll Do

  • Acquire and onboard MM+ tech companies as data partners through targeted outreach campaigns, converting prospects into actively engaged platform users
  • Shepherd customers through technical integration from initial setup to full deployment, maintaining ownership of the entire journey and driving high completion rates
  • Lead enablement initiatives and strategic reviews with enterprise clients to maximize platform utilization, strengthen relationships, and secure long-term retention
  • Uncover cross-sell opportunities by identifying adjacent product needs during data engagements, then qualifying and referring prospects to Account Executive teams
  • Develop scalable frameworks and protocols working alongside Data and RevOps to streamline integration workflows, flag at-risk accounts early, and create repeatable handoff processes
  • Champion Pave's data value proposition by crafting compelling narratives that resonate with compensation leaders and position the platform as mission-critical infrastructure
  • Build and optimize conversion funnels through disciplined prospecting, systematic qualification, and metrics-driven pipeline management across all customer touchpoints

What You'll Bring

  • Customer Success and Enablement: Deep expertise in driving product adoption and usage through systematic enablement programs, with experience managing customer lifecycle from onboarding through expansion
  • Technical Integration Partnership: Strong ability to collaborate with customer technical teams and internal product/engineering to ensure seamless data integrations and ongoing platform optimization
  • Pipeline Development and Qualification: Demonstrated skills in prospecting, lead qualification, and systematic pipeline management with measurable conversion metrics
  • Cross-Functional Revenue Generation: Track record of identifying and developing opportunities across multiple product lines, with ability to effectively hand off qualified leads while maintaining relationship ownership
  • Data Storytelling and Evangelism: Expertise in translating complex data insights into compelling business narratives that drive customer engagement and platform adoption
  • Consultative Relationship Building: Proven ability to build trusted advisor relationships with C-level executives and compensation leaders through strategic business reviews and thought leadership
  • Metrics-Driven Growth Mindset: Strong analytical capabilities with experience building and optimizing conversion funnels, customer success metrics, and revenue attribution models

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):

$180k OTE

Life @ Pave 

Since being founded in 2019, Pave has established a robust global footprint. Headquartered in San Francisco's Financial District, we operate strategic regional hubs across New York City's 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 everything—roles 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 team's mission is to build confidence in every compensation decision
Are you ready to help our customers make smarter, more effective compensation decisions?