1,971,495open jobs
116,469companies
251,235added this week
Browse all
Salary
$141k – $191k per year
Location
Hybrid (San Francisco, United States)
Seniority
Middle · 3+ years exp

Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Dec 9, 2025. Pave scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Pave is compensation software that connects to a company's HR and equity systems to benchmark pay against real-time market data. Teams plan salary bands, run merit cycles and generate total rewards statements from the same source. Its benchmarking pool draws on data contributed by thousands of companies.

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 9,000+ companies unparalleled confidence in every compensation decision.

Top tier companies like OpenAI, McDonald’s, Instacart, Atlassian, Affirm, Ericsson, Synopsys, Stripe, Doordash, Fanatics, 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 80% 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 $175M in funding from leading investors like Andreessen Horowitz (a16z), Index Ventures, Y Combinator, Insight Partners, Atomico, Venture Partners, and Craft Ventures.

The Core Platform Team @ 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.

Learn more about our engineering principles here!

What You'll Bring

  • 3+ 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 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 includes:  TypeScript, Node.js, MySQL, Prisma, and React, hosted on GCP

Compensation, It's What We Do.

At Pave, we believe compensation should be as thoughtful as the people we hire. Your total rewards package includes meaningful equity, best-in-class medical, dental, and vision coverage, unlimited PTO, and region-specific benefits designed around your life - not just your role. Your level and compensation are determined by your experience and how you show up throughout the interview process. We're always happy to walk you through how we think about leveling - just ask.

Targeted cash compensation for this role:

P2: $141,100 - $190,900

P3: $166,600 - $225,400

P4: $195,500 - $264,500

Benefits @ Pave

At Pave, growth isn't a perk - it's the point. As you develop, your role expands, your responsibilities deepen, and your compensation reflects the impact you're making.

What we offer

  • Your Health, Fully Covered: Comprehensive medical, dental, and vision coverage for you and your family, with a range of options designed to meet you where you are.
  • Time That's Actually Yours: Flexible PTO and the freedom to work from anywhere in the world for up to a month - because life doesn't pause, and neither should you.
  • Fuel for the Work: Lunch and dinner stipends plus fully stocked kitchens, so you can stay energized without thinking twice about it.
  • Room to Keep Growing: A quarterly education stipend to invest in the skills and knowledge that matter most to you.
  • Support When It Matters Most: Robust parental leave so you can be fully present for the moments that count.
  • Getting Here, Made Easier: A commuter stipend to support the in-person collaboration that makes great work happen.

Life @ Pave 

Founded in 2019 with a clear purpose and a team that has never wavered from it, Pave has grown into a global force in compensation management - giving thousands of companies the tools to take control, build confidence, and earn credibility in every pay decision they make. And we're just getting started. Headquartered in San Francisco's Financial District, with regional hubs in New York City's Flatiron District, Salt Lake City, Kraków (Poland), and the United Kingdom - wherever you're based, you'll find the same thing: people who genuinely care about the work, each other, and the customers that rely on Pave.

We run a hybrid culture that brings teams together in person 4 days a week - and every Friday, the whole company gathers for our Team Sync: breakfast, new hire welcomes, product updates, fireside chats, and yes, the occasional Kahoot. It's one of the things people notice when they join us - that we truly enjoy spending time together.

Our culture is shaped by five values we live every day:

  • Be Intellectually Honest - Truth over comfort. We face reality clearly and speak directly, even when it's hard.
  • Play to Win - We're not here to participate. We're here to be the #1 compensation platform in the world, and we act like it.
  • Uphold the Pave Platinum Standard - We hold ourselves to the highest bar - for our customers, our data, and each other.
  • One Team - We win and lose together. Titles don't drive decisions here - shared goals do.
  • Hug of Jawn - Hard to define, impossible to miss. Ask your recruiter.

Our Vision: Unlock a labor market built on trust.

Our Mission: Build confidence in every compensation decision.

We build software that transforms how companies pay their people - and we believe the team behind that software deserves the same thoughtfulness. If you're ready to help shape the future of compensation alongside people who are smart, humble, and genuinely motivated by the problem we're solving, we'd love to meet you. 

Still deliberating? Just apply! We're always excited to meet people who are eager to contribute.

Pave uses automated tools, including AI-based fraud detection, to verify applicant identity and protect the integrity of our hiring process.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,971,495 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Backend
Similar stack
Same company
San Francisco
$113k – $135k per year • In office • Full-Time • 3+ years exp • Bachelor's Degree • College Park
JavaScript
DevOps
CI/CD
Apply
Founding Engineer 5 hours ago
$150k – $250k per year • In office • Full-Time • 3+ years exp • New York
Python
Go
JavaScript
Java
Rust
TypeScript
AI/ML
AI Agents
Frontend
Next.js
React.js
DevOps
Terraform
GCP
Apply
Founding Engineer 5 hours ago
$210k – $260k per year • In office • Full-Time • 3+ years exp • New York
Python
TypeScript
SQL
Python
FastAPI
Databases
PostgreSQL
AI/ML
Cursor
Claude Code
DevOps
GCP
Platform Engineering
Google Cloud Run
Apply
$160k – $200k per year • In office • Full-Time • 4+ years exp • Bachelor's Degree • San Francisco
Python
Mobile
Firebase
Apply
$144k – $180k per year • Equity • In office • Full-Time • 3+ years exp • Bachelor's Degree • Arlington
Python
Go
JavaScript
Java
Kotlin
TypeScript
Node JS
Frontend
GraphQL
React.js
DevOps
GCP
Azure
AWS
Apply
≈ $59k – $126k per year (Estimated) • In office • Munich
JavaScript
TypeScript
Node JS
Node JS
Nest.JS
BullMQ
TypeORM
Databases
MySQL
Redis
Frontend
Next.js
React.js
Vite
Turborepo
DevOps
Rest API
AWS
Apply
≈ $95k – $233k per year (Estimated) • Hybrid • Full-Time • London
JavaScript
Java
TypeScript
Node JS
Java
Spring Boot
Databases
Apache Kafka
AI/ML
AI Agents
Frontend
Next.js
React.js
DevOps
CI/CD
Management
Agile
Apply
$116k – $193k per year • Hybrid • Full-Time • 4+ years exp • Irving
JavaScript
TypeScript
SQL
C#
C++
C#
Entity Framework Core
Databases
MySQL
MS SQL
Frontend
Angular
React.js
Mobile
MVVM
DevOps
CI/CD
Jenkins
Git
Windows
Cybersecurity
Active Directory
Apply
QA Engineer 4 days ago
Hybrid • Full-Time • 2+ years exp • Taguig
JavaScript
TypeScript
AI/ML
Copilot
DevOps
CI/CD
Jenkins
AWS
TeamCity
GitLab
Cybersecurity
Shift-Left Security
Management
Jira
Agile
QA
Selenium
Cucumber
JMeter
Cypress
Playwright
k6
Apply
≈ $156k – $293k per year (Estimated) • Equity • Remote (United States) • Full-Time • 10+ years exp • Bachelor's Degree • United States
JavaScript
Node JS
Apply
≈ $159k – $292k per year (Estimated) • Hybrid • 5+ years exp • San Francisco
JavaScript
TypeScript
Node JS
Node JS
Prisma
Databases
MySQL
Databricks
AI/ML
OpenAI
Machine Learning
Frontend
React.js
DevOps
GCP
Platform Engineering
Apply
≈ $165k – $303k per year (Estimated) • Hybrid • 7+ years exp • San Francisco
Databases
Databricks
AI/ML
AI Agents
OpenAI
Machine Learning
Apply
≈ $152k – $281k per year (Estimated) • Hybrid • 5+ years exp • San Francisco
Databases
Databricks
AI/ML
OpenAI
Machine Learning
Apply
≈ $159k – $292k per year (Estimated) • Hybrid • 5+ years exp • San Francisco
JavaScript
TypeScript
Node JS
Databases
Databricks
AI/ML
OpenAI
Machine Learning
Apply
$141k – $191k per year • Hybrid • 2+ years exp • San Francisco
JavaScript
TypeScript
Node JS
Databases
Databricks
AI/ML
OpenAI
Machine Learning
Apply
$220k – $405k per year • In office • Full-Time • 2+ years exp • Bachelor's Degree • San Francisco
Python
Go
Rust
C++
AI/ML
Reinforcement Learning
Perplexity
DevOps
AWS
Kubernetes
Apply
≈ $187k – $399k per year (Estimated) • In office • Full-Time • San Francisco
Apply
In office • Full-Time • High School Diploma • Charlotte • New York • Seattle • San Francisco • Atlanta
Apply
$133k – $158k per year • In office • Full-Time • 5+ years exp • Bachelor's Degree • San Francisco
Python
SQL
Analytics
Superset
Apply
Data Scientist II 1 day ago
up to $178k per year • In office • 4+ years exp • San Francisco
SQL
Analytics
A/B Testing
Apply
See all jobs
This is one of many
1,971,495 more open roles from verified company boards, updated every day.