Job Board
LogoLogo

Get Jobs Tailored to Your Resume

Filtr uses AI to scan 1000+ jobs and finds postings that perfectly matches your resume

Pave Logo

Software Engineer - Fullstack

Pave

$166,600 - $264,500
Dec 17, 2025
San Francisco, CA, US
Apply Now

Pave is building the industry’s leading compensation platform to give companies confidence in every compensation decision by combining real-time compensation data with AI and machine learning.

Requirements

  • 5+ years of fullstack engineering experience, ideally using modern web technologies such as TypeScript and Node.js.
  • At least 2 years building data-intensive applications.
  • Strong product intuition to guide technical decisions based on customer needs.
  • Execution-driven mindset with the ability to thrive in fast-paced environments.
  • Adaptability in ambiguity and comfort in filling in gaps.
  • Collaborative working style with product managers, designers, and fellow engineers.
  • Nice to have: Experience at B2B SaaS companies, especially during periods of rapid growth or platform expansion.

Responsibilities

  • Building robust, data-rich systems that simplify complex compensation processes at scale.
  • Designing and implementing solutions that make compensation processes seamless for customers.
  • Working on products related to compensation bands, planning workflows, and total rewards communication.
  • Enhancing the entire compensation lifecycle from philosophy definition to market trend analysis, band adjustments, merit cycles, and employee communication.
  • Collaborating with product managers, designers, and fellow engineers to deliver value to users.
  • Shipping thoughtful solutions with maintainability and scalability in mind.
  • Validating direction through prototypes and evolving approaches as you learn.

Other

  • Collaborative working style and ability to work well with cross-functional teams.
  • Bias toward action and a fast-paced work environment.
  • Interest in building systems that simplify complex compensation processes.
  • Ability to work in a hybrid model with in-person days on Mondays, Tuesdays, Thursdays, and Fridays.
  • Passion for helping customers make smarter, more effective compensation decisions.