Software Engineer (Core Platform)
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
Requirements
- 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 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
Benefits & conditions
The targeted cash compensation for this position is (level depends on experience and performance in the interview process):
- P2: $141,100 - $190,900
- P3: $166,600 - $225,400
- P4: $195,500 - $264,500
About the company
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., 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 3 pillars -compensation bands,planning workflows, andtotal rewards communication. We build products that make these processes seamless for customers.
Over the next year, our roadmap is focused on enhancing 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., 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., At Pave, career advancement drives everything-roles expand, responsibilities deepen, and compensation rises alongside your professional growth.
What we provide
- 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
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Loading talks and stories from around this role…