Software Engineer, Core Platform

Pave; San Francisco (CA); On-site; USD 141,100 - 190,900; Full time

Benefits offered by this job

Comprehensive Medical, Dental, and Vision coverage

Flexible PTO and ability to work remotely

Lunch and dinner stipends

Quarterly education stipend

Robust parental leave

Commuter stipend

Job summary

A leading compensation platform company in San Francisco is seeking a Backend Engineer to own critical services like user authentication and authorization. You'll be responsible for building the foundational data infrastructure and models for our compensation intelligence platform. The ideal candidate has 5+ years of experience in backend engineering with a focus on data-intensive applications, utilizing technologies such as TypeScript and Node.js. This role offers a competitive compensation package and a vibrant, collaborative workplace culture.

Qualifications

• 5+ years of backend engineering experience building data-intensive applications, ideally utilizing modern web technologies such as TypeScript and Node.js.
• Strong product intuition with the ability to design generalized platform solutions.
• Hands-on experience with data infrastructure, data pipelines/ETLs, data modeling; ML/AI platform experience is a plus.
• Experience leading large technical projects with high ambiguity and numerous stakeholders.
• Execution-driven mindset, thrives in fast-paced environments.

Responsibilities

• Own critical services like user authentication and authorization.
• Build foundational data infrastructure and models for compensation intelligence.

Job description

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 $160 million in funding from leading investors such as Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures.

The Research & Development Org

Pave’s R&D pillar includes our data science, engineering, information technology, product design, product management, and security teams. This organization builds, maintains, and secures a platform used by more than 8,500 client organizations. Compensation strategy is broken down into three pillars—compensation bands, planning workflows, and total rewards communication. We build products that make these processes seamless for customers.

Core Platform @ Pave

The Core Platform team sits at the center of Pave Engineering, bridging product and platform engineering. We build the foundational services, APIs, and abstractions that enable every team 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 in this role requires strong systems thinking and the ability to drive large, complex initiatives across the organization.

What You’ll Bring

• 5+ years of backend engineering experience building data‑intensive applications, ideally utilizing modern web technologies such as TypeScript and Node.js.
• Strong product intuition with the ability to design generalized platform solutions that solve cross‑product challenges.
• Hands‑on experience with data infrastructure, data pipelines/ETLs, data modeling; ML/AI platform experience is a plus.
• Experience leading large technical projects with high ambiguity and numerous stakeholders.
• Execution‑driven mindset: you thrive in fast‑paced environments, bias toward action, and ship thoughtful solutions with maintainability and scalability in mind.

Our Stack

TypeScript, Node.js, MySQL, Prisma, React, hosted on GCP.

Compensation

Salary is just one component of Pave’s total compensation package for employees. Your total rewards package 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.

Targeted Cash Compensation

P2: $141,100 – $190,900
P3: $166,600 – $225,400
P4: $195,500 – $264,500

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

• 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.

Ready to help our customers make smarter, more effective compensation decisions?

We’re on the lookout for passionate engineers excited about building robust, data‑rich systems that simplify complex compensation processes at scale. Join us in shaping the future of pay.