Pave
Software Engineer, Product
San Francisco, CA & New York, NY
Sponsorship not specifiedDetected 20 days ago
TypeScriptNode.jsFull-Stack DevelopmentDatabricksMachine Learning
About the role
- The future of pay is real-time & predictive, and we're making it happen right now.
- Learn more about our engineering principles here!
Compensation
- 2+ years of full-stack, backend, or frontend engineering experience, ideally with modern web technologies such as TypeScript and Node.js, including experience building data-intensive applications.
Company info
- 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.
- Product @ Pave
- 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.
- We've raised $160M in funding from leading investors like Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures.
- Product engineers at Pave build the core workflows and experiences that power how companies plan, execute, and communicate all aspects of compensation.
- You will be contributing to projects and building features that are at the forefront of compensation intelligence.
- You'll work closely with Product and Design to ship features used daily by compensation teams, managers, and employees at companies like OpenAI, Databricks, and Atlassian.
- This team moves fast, iterates based on direct customer feedback, and owns their work end-to-end.
- What You'll Bring
- 2+ years of full-stack, backend, or frontend engineering experience, ideally with modern web technologies such as TypeScript and Node.js, including experience building data-intensive applications.
- Solid product instincts: you think about the customer's problem first, and use that to guide your technical approach
- Comfort working in ambiguity: you can take a rough problem statement and turn it into a shipped feature
- A collaborative
This listing is sourced directly from Pave's careers page and normalized into a canonical job model.