Solutions Consultant

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 70% 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 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.

• 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.

• 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.

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):

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

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

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…