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Solutions Consultant

San Francisco / New York, NY / Salt Lake City, UT

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.

Revenue Org @ Pave

The Revenue pillar of Pave includes our Customer Success, Marketing, Partnerships, Revenue Operations, Sales, and Strategy teams. This community drives business growth and ensures every Pave client achieves transformative results with compensation intelligence.

Our go-to-market engine operates at the intersection of strategy and execution, moving prospects from initial discovery to scaled implementation across enterprise organizations. The sales team partners closely with compensation leaders to identify strategic opportunities, while customer success ensures clients maximize ROI through our complete platform suite - from benchmarking and band creation to merit cycles and total rewards communication.

The rev ops team optimizes our entire client lifecycle using data-driven insights, while marketing translates complex compensation challenges into clear value propositions. Our partnerships team expands Pave's ecosystem reach through strategic HRIS and financial system integrations.

Over the next year, our focus centers on accelerating growth in the enterprise segments while deepening client relationships through expanded use cases. We're seeking revenue professionals who are passionate about solving complex compensation challenges and driving measurable business impact for the world's most innovative companies.

Solutions Consultant Team @ Pave

The Solution Consultant team serves as the technical bridge between sales and customer success, architecting compensation solutions that align with each customer's unique HRIS ecosystem, data infrastructure, and business requirements. We tackle the complex challenge of integrating modern compensation management into diverse enterprise environments where legacy systems, fragmented data sources, and varying technical maturity levels create barriers to implementing transparent, equitable, and scalable compensation practices. 

As a Solutions Consultant on the Pave team, you'll partner with sales to design and demonstrate how our compensation platform transforms complex pay data into actionable insights, while ensuring seamless integration with customers' existing HR tech stacks and workflows.

What You'll Do:

  • Partner with Account Executives and Account Managers to drive complex, multi-threaded sales cycles with strategic prospects, focusing on large deals that increase Pave’s revenue. 
  • Create and present customized product demonstrations of Pave’s End to End Compensation Management suite to prospective customers. 
  • Create and run compelling proof of concept trials with potential customers by defining success criteria and helping them achieve those goals.
  • Conduct technical discovery sessions to uncover business pain points, technical requirements, and success criteria
  • Create and present technical proposals, proof-of-concept implementations, and ROI analyses

What You'll Bring:

  • 5+ years of experience in sales engineering, solutions consulting, or similar. 
  • Strong understanding of enterprise SaaS operating systems (preferably experience with HRTech software.)
  • Proficiency in integrating and troubleshooting RESTful APIs and webhooks in client environments. 
  • Proficiency in at least one programming language (Python, Java, JavaScript, etc.) 
  • Prior experience in technology sales with start up experience preferred. 
  • Track record of consistently meeting and exceeding revenue targets for your organizations Go To Market function.

The compensation band for this role is below

Tier 1: $133,000 (Base) + $57,000 (Variable) = $190,000 OTE
Tier 2: $119,700 (Base) + $51,300 (Variable) = $171,000 OTE
Tier 3: $113,050 (Base) + $48,450 (Variable)= $161,500 OTE

Not sure what tier you are located in? Check out this Pave article! 

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?

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