drjobs Software Engineer - Backend

Software Engineer - Backend

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1 Vacancy
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Job Location drjobs

San Francisco, CA - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Who We Are

At Pave were combining the worlds largest realtime compensation dataset with deep expertise in AI and Machine Learning to reimagine how our clients make compensation decisions. By building the operating system for compensation were perfecting the art and science of pay to give 8500 companies unparalleled confidence in every compensation decision.

OpenAI Instacart Ramp Snowflake Stripe Databricks Okta Perplexity and 8500 companies use Pave to power their compensation ecosystems and transform every pay decision into a competitive advantage.

The future of pay is realtime & predictive and Pave has raised $160M in funding to lead the way. Backed by Andreessen Horowitz Index Ventures Y Combinator Bessemer Venture Partners and Craft Ventures we are transforming the compensation landscape.

Pave By The Numbers

  • $190 Billion in Total compensation spend managed in Pave workflows
  • 8500 Companies using Pave
  • 1 Million Unique employees automatched into Paves realtime dataset
  • 135X Increase in equity benchmarks delivered with machine learning
  • 58% ofForbes AI 50 use Pave to benchmark compensation

The Research & Design Org @ Pave

Paves 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 8500 client organizations.

Our engineering team moves between ideation scoping and execution in a matter of days while closely iterating with crossfunctional partners on requirements. At Pave we use TypeScript 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 orgwide trust. From philosophy definition to market trend analysis range management merit cycles and employee communications were building solutions for every phase of the compensation calendar. Were seeking passionate engineers who are excited about building robust datarich systems that simplify complex compensation processes at scale.

What Youll Bring

  • 12 years of backend engineering experience ideally using modern web technologies such as TypeScript and with at least some experience building dataintensive 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.
  • Executiondriven mindset: You thrive in fastpaced environments bias toward action and ship thoughtful solutions without overengineering.
  • Adaptability in ambiguity: Youre 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

Life @ Pave

Since being founded in 2019 Pave has grown globally. Were based across our HQ in San Franciscos FiDi neighborhood Flatiron in NYC and regional hubs in Salt Lake City and the United Kingdom. We embrace a highenergy collaborative inperson work environment at these locations operating on a hybrid schedule that brings teams together inoffice on Mondays Tuesdays and Fridays.

Benefits

At Pave roles responsibilities and compensation grow as you do reflecting our commitment to your professional development.

Vision

Our vision is to unlock a labor market built on trust.

Mission

Our teams mission is to build confidence in every compensation decision.

Values

Our four values are intellectual honesty playing to win upholding the Pave platinum standard and hug of jawn!

Are you ready to help our clients make smarter more effective compensation decisions

Employment Type

Full Time

About Company

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