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Overview
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 refining pay decisions for 8,500+ companies. Top-tier companies like OpenAI, McDonald’s, Instacart, Atlassian, Synopsys, Stripe, Databricks, and Waymo rely on Pave. We manage $190+ billion in total compensation spend within our workflows, and 58% of Forbes AI 50 use Pave to benchmark compensation. The future of pay is real-time and predictive, and we’re making it happen now. We’ve raised $160M in funding from leading investors including Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures. Research & Design Org
Pave's R&D pillar includes data science, engineering, information technology, product design, product management, and security. This organization builds, maintains, and secures a platform used by more than 8,500 client organizations. Our engineering team moves between ideation, scoping, and execution in a matter of days while iterating with cross-functional partners on requirements. We use TypeScript, Node.js, and React, hosted on GCP. Compensation strategy is organized into three pillars — compensation bands, planning workflows, and total rewards communication — and we build products that make these processes seamless for customers. Over the next year, our roadmap focuses on the entire compensation lifecycle: from philosophy definition to market trend analysis, band adjustments, merit cycles, and employee communication. We’re seeking passionate engineers who are excited about building robust, data-rich systems that simplify complex compensation processes at scale. Core Platform @ Pave
The Core Platform team sits at the center of Pave Engineering, bridging product and platform engineering. We build foundational services, APIs, and abstractions that enable teams to ship enterprise-grade software with speed and confidence. In this role, you’ll own critical services like user authentication and authorization, as well as the foundational data infrastructure and models powering Pave’s compensation intelligence platform. Success requires strong systems thinking and the ability to drive large, complex initiatives across the organization. What You'll Bring
2+ years of full-time backend engineering experience building data-intensive applications, ideally utilizing modern web technologies such as TypeScript and Node.js Strong computer science fundamentals and familiarity with modern design patterns Experience with data infrastructure, pipelines/ETLs, and data modeling; exposure to ML/AI workflows is a plus Execution-oriented. You thrive in fast-paced environments and bias toward action Growth mindset. Eager to learn new technologies and problem domains Compensation
Salary is just one component of Pave's total compensation package. Your total rewards package includes equity, medical/dental/vision coverage, an unlimited PTO policy, and region-specific benefits. Your level is based on interview performance and experience, which you can discuss with the hiring manager for more detail. The targeted cash compensation for this position
is determined by experience and performance in the interview process: $140,000 - $196,000 Life @ Pave
Founded in 2019, Pave has a robust global footprint. Headquartered in San Francisco, with regional hubs in New York, Salt Lake City, and the United Kingdom. We maintain a hybrid model with in-office collaboration on Mondays, Tuesdays, Thursdays, and Fridays to foster innovation and relationships. Benefits @ Pave
Career advancement drives everything—roles expand, responsibilities deepen, and compensation rises with growth. What we provide: Complete Health Coverage : Medical, Dental, and Vision for you and your family Time off & Flexibility : Flexible PTO and the ability to work from anywhere for a period Meals & Snacks : Lunch & dinner stipends and fully stocked kitchens Professional Development : Quarterly education stipend Family Support : Parental leave to bond with your family Commuter Assistance : Commuter stipend Vision
Vision: to unlock a labor market built on trust. Mission
Mission: to build confidence in every compensation decision. Are you ready to help our customers make smarter, more effective compensation decisions?
Interested in building your career at Pave? We can keep you updated on future opportunities. This description intentionally focuses on the role and company information relevant to candidates. Equal Employment Opportunity: Pave is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
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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 refining pay decisions for 8,500+ companies. Top-tier companies like OpenAI, McDonald’s, Instacart, Atlassian, Synopsys, Stripe, Databricks, and Waymo rely on Pave. We manage $190+ billion in total compensation spend within our workflows, and 58% of Forbes AI 50 use Pave to benchmark compensation. The future of pay is real-time and predictive, and we’re making it happen now. We’ve raised $160M in funding from leading investors including Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures. Research & Design Org
Pave's R&D pillar includes data science, engineering, information technology, product design, product management, and security. This organization builds, maintains, and secures a platform used by more than 8,500 client organizations. Our engineering team moves between ideation, scoping, and execution in a matter of days while iterating with cross-functional partners on requirements. We use TypeScript, Node.js, and React, hosted on GCP. Compensation strategy is organized into three pillars — compensation bands, planning workflows, and total rewards communication — and we build products that make these processes seamless for customers. Over the next year, our roadmap focuses on the entire compensation lifecycle: from philosophy definition to market trend analysis, band adjustments, merit cycles, and employee communication. We’re seeking passionate engineers who are excited about building robust, data-rich systems that simplify complex compensation processes at scale. Core Platform @ Pave
The Core Platform team sits at the center of Pave Engineering, bridging product and platform engineering. We build foundational services, APIs, and abstractions that enable teams to ship enterprise-grade software with speed and confidence. In this role, you’ll own critical services like user authentication and authorization, as well as the foundational data infrastructure and models powering Pave’s compensation intelligence platform. Success requires strong systems thinking and the ability to drive large, complex initiatives across the organization. What You'll Bring
2+ years of full-time backend engineering experience building data-intensive applications, ideally utilizing modern web technologies such as TypeScript and Node.js Strong computer science fundamentals and familiarity with modern design patterns Experience with data infrastructure, pipelines/ETLs, and data modeling; exposure to ML/AI workflows is a plus Execution-oriented. You thrive in fast-paced environments and bias toward action Growth mindset. Eager to learn new technologies and problem domains Compensation
Salary is just one component of Pave's total compensation package. Your total rewards package includes equity, medical/dental/vision coverage, an unlimited PTO policy, and region-specific benefits. Your level is based on interview performance and experience, which you can discuss with the hiring manager for more detail. The targeted cash compensation for this position
is determined by experience and performance in the interview process: $140,000 - $196,000 Life @ Pave
Founded in 2019, Pave has a robust global footprint. Headquartered in San Francisco, with regional hubs in New York, Salt Lake City, and the United Kingdom. We maintain a hybrid model with in-office collaboration on Mondays, Tuesdays, Thursdays, and Fridays to foster innovation and relationships. Benefits @ Pave
Career advancement drives everything—roles expand, responsibilities deepen, and compensation rises with growth. What we provide: Complete Health Coverage : Medical, Dental, and Vision for you and your family Time off & Flexibility : Flexible PTO and the ability to work from anywhere for a period Meals & Snacks : Lunch & dinner stipends and fully stocked kitchens Professional Development : Quarterly education stipend Family Support : Parental leave to bond with your family Commuter Assistance : Commuter stipend Vision
Vision: to unlock a labor market built on trust. Mission
Mission: to build confidence in every compensation decision. Are you ready to help our customers make smarter, more effective compensation decisions?
Interested in building your career at Pave? We can keep you updated on future opportunities. This description intentionally focuses on the role and company information relevant to candidates. Equal Employment Opportunity: Pave is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
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