Software Engineer - Backend

The Research & Design Org @ Pave

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.

Our engineering team moves between ideation, scoping, and execution in a matter of days while closely iterating with cross-functional partners on requirements. At Pave, we use TypeScript, Node.js, and React, hosted on GCP.

Product Engineering Teams

Our roadmap is built around four core jobs that compensation leaders need to accomplish:

Market Data: We enable compensation professionals to access reliable, comprehensive compensation data to make informed decisions.

Market Pricing: We help compensation teams efficiently price jobs against market data and construct appropriate salary ranges.

Comp Planning: We empower compensation teams, leaders, and managers to plan and allocate compensation budgets with confidence.

Communication: We help HR and managers effectively explain compensation decisions to employees and candidates.

Over the next year, our roadmap focuses on enhancing the entire compensation lifecycle to help Total Rewards leaders take charge of their organizations' largest expense, confidently make decisions, and earn org-wide trust. From philosophy definition to market trend analysis, range management, merit cycles, and employee communications, we're building solutions for every phase of the compensation calendar. We're seeking passionate engineers who are excited about building robust, data-rich systems that simplify complex compensation processes at scale.

What You'll Bring

• New grads with significant internship experience or 1-2 years of backend engineering experience, ideally using modern web technologies such as TypeScript and Node.js, with at least some experience building data-intensive applications.
• Growing understanding of secure data architecture: You are able to design and work with relational and/or NoSQL databases. You optimize queries with guidance and are learning to handle large datasets securely and efficiently.
• Growing product intuition: You understand the value of building for user impact. You seek context from product partners and balance speed with thoughtful technical decisions.
• Execution-driven mindset: You thrive in fast-paced environments, bias toward action, and ship thoughtful solutions without overengineering.
• Adaptability in ambiguity: You're comfortable filling in gaps, validating direction through prototypes, and evolving your approach as you learn.
• Collaborative working style: You work well with product managers, designers, and fellow engineers, and care deeply about delivering value to users.
• Nice to have: Experience at B2B SaaS companies, especially during periods of rapid growth or platform expansion

Compensation, It's What We Do.

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

Salary Range for this role: $140,000 - $196,000