Senior Software Engineer - Fullstack

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.

Research & Development

The R&D organization encompasses engineering, product, design, data science, and security. We’re a high performing team that moves between ideation, scoping, and execution in a matter of days. Everyone on the team has high agency to design, experiment, and build great software in partnership with our pre-sales and post-sales teams, and our clients.

We're seeking passionate engineers who are excited about building robust, data-rich systems that simplify complex compensation processes at scale. Our stack is React, TypeScript, Node.js , MySQL, and BigQuery hosted on GCP.

What You'll Bring

• 5+ years of fullstack engineering experience, ideally using modern web technologies such as TypeScript and Node.js, with at least 2 years building data-intensive applications.


• Strong product intuition: You use customer needs to guide technical decisions and know when to prioritize fast iteration versus robust architecture.


• Execution-driven mindset: You thrive in fast-paced environments, bias toward action, and ship thoughtful solutions without overengineering.


• Adaptability in ambiguity: You’re comfortable filling in gaps, validating direction through prototypes, and evolving your approach as you learn.


• Collaborative working style: You work well with product managers, designers, and fellow engineers, and care deeply about delivering value to users.


• Nice to have: Experience at B2B SaaS companies, especially during periods of rapid growth or platform expansion.

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.

Salary Range for this role: $195,500 - $264,500

Life @ Pave

Since being founded in 2019 Pave has grown globally. We’re based across our HQ in San Francisco’s FiDi neighborhood, Flatiron in NYC and regional hubs in Salt Lake City and the United Kingdom. We embrace a high-energy, collaborative in-person work environment at these locations, operating on a hybrid schedule that brings teams together in-office on Mondays, Tuesdays, and Fridays.

Benefits

At Pave roles, responsibilities, and compensation grow as you do, reflecting our commitment to your professional development.

• Comprehensive Medical, Dental and vision coverage for you and your family, with plenty of options to suit your needs


• Flexible PTO and the ability to work from anywhere in the world for a month


• Lunch & dinner stipends as well as fully stocked kitchens to fuel you


• Quarterly education stipend to continuously grow


• Robust parental leave to bond with your new family


• 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 clients make smarter, more effective compensation decisions?