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Senior Software Engineer - Frontend New York, NY

Trov

Snowflake (AZ)

On-site

USD 100,000 - 150,000

Full time

11 days ago

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Job summary

Join a leading company revolutionizing compensation decisions with data-rich systems and AI technology. We're looking for passionate engineers who thrive in dynamic environments to help develop robust applications. If you excel in frontend engineering and data visualization, we want you to be part of our mission.

Benefits

Comprehensive Medical, Dental and Vision Coverage
Flexible PTO
Quarterly Education Stipend
Lunch and Dinner Stipends
Robust Parental Leave

Qualifications

  • 5+ years of frontend engineering experience using modern web technologies.
  • Strong data visualization expertise for performant applications.
  • Adaptability in ambiguous situations and a collaborative approach.

Responsibilities

  • Build data-rich systems to simplify complex compensation processes.
  • Iterate closely with cross-functional partners in a fast-paced environment.

Skills

Data Visualization
Frontend Engineering
Collaboration

Job description

At Pave, we're combining the world's largest real-time 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, we're perfecting the art and science of pay to give 8,500+ companies unparalleled confidence in every compensation decision.

OpenAI, Instacart, Ramp, Snowflake, Stripe, Databricks, Okta, Perplexity, and 8,500+ companies use Pave to power their compensation ecosystems and transform every pay decision into a competitive advantage.

The future of pay is real-time & 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
  • 8,500+ Companies using Pave
  • 1+ Million Unique employees auto-matched into Pave's real-time dataset
  • 135X Increase in equity benchmarks delivered with machine learning

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.

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
  • 5+ years of frontend engineering experience, ideally using modern web technologies such as TypeScript and Node.js, with at least 2 years building data-intensive applications.
  • Strong data visualization expertise: You build performant, data-rich interfaces that handle complex logic and large datasets gracefully.
  • Strong product intuition: You use customer needs to guide technical decisions and know when to prioritize fast iteration versus robust architecture.
  • 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.
Life @ Pave

Since being founded in 2019 Pave has grown globally. We’re based across our HQ in San Francisco’s FiDi neighborhood, Flatiron in NYC and regional hubs in Salt Lake City and the United Kingdom. We embrace a high-energy, collaborative in-person work environment at these locations, operating on a hybrid schedule that brings teams together in-office on Mondays, Tuesdays, and Fridays.

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

  • Comprehensive Medical, Dental and vision coverage for you and your family, with plenty of options to suit your needs
  • Flexible PTO and the ability to work from anywhere in the world for a month
  • Lunch & dinner stipends as well as fully stocked kitchens to fuel you
  • Quarterly education stipend to continuously grow
  • Robust parental leave to bond with your new family
  • A commuter stipend to help you collaborate in person
Vision

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

Mission

Our team's 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?

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