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Senior Frontend Engineer, Products

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: EvenUp
Full Time position
Listed on 2026-01-18
Job specializations:
  • IT/Tech
    Systems Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 114800 - 317200 USD Yearly USD 114800.00 317200.00 YEAR
Job Description & How to Apply Below
Position: Senior Frontend Engineer, New Products

Location

San Francisco (hybrid)

Employment Type

Full time

Location Type

Hybrid

Department

Engineering

Compensation
  • $114.8K – $317.2K
    • Offers Equity

The salary range provided reflects the compensation that Even Up reasonably expects to offer for this role. The specific salary within this range will be determined based on various factors, including the candidate's relevant experience, education, skills, location, and alignment with the role's responsibilities.

Even Up is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more.

We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. Even Up is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, Signal Fire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at

🎥 Life as an Engineer at Even Up Location & Work Model

This is a hybrid role, with an expectation of being in our SF office three days per week.

About the Team

The New Products Engineering team is responsible for building and launching entirely new products that directly impact how personal injury attorneys serve their clients. Over the past year, Even Up’s engineering and data science organization has grown rapidly — from 40 to 100+ team members — alongside major infrastructure investments, new product launches, and significant workflow improvements across data, ML, frontend, and backend systems.

Over the next 12 months, the team will continue to scale as we deliver on an ambitious roadmap to handle 10x our current volume and introduce new AI-powered products. The work this team does directly influences customer workflows and outcomes, ultimately impacting millions of people navigating the personal injury system. A true zero-to-one product focus with high ownership and autonomy, deep collaboration across engineering, product, data, ML, and operations, and a rare opportunity to modernize a historically analog industry at scale.

Responsibilities
  • Own and evolve core systems and product workflows that support the launch of new customer-facing products
  • Partner closely with Product, Design, Data Science, and other Engineering teams to bring new ideas from concept to production
  • Contribute to scalable, reliable, and high-quality software that can support rapid growth and increasing complexity
  • Drive projects end-to-end, from early design and architecture through delivery and iteration
  • Uphold high standards for performance, reliability, security, and maintainability
  • Contribute to a strong, collaborative, and inclusive engineering culture
What You’ll Do
  • Execution & Delivery: Build, ship, and iterate on new features and products that directly impact customer workflows. Start contributing production code quickly and help establish strong foundations for new systems
  • Architecture & Quality
    :
    Design, implement, and maintain scalable and maintainable backend, frontend, or full-stack systems. Write high-quality, well-tested, and production-ready code. Help define and reinforce engineering best practices as the team scales
  • Cross-Functional Collaboration: Work closely with Product Managers, Designers, Data Scientists, and other Engineers to scope and deliver impactful solutions. Communicate technical concepts clearly to both technical and non-technical stakeholders
  • Ownership & Growth: Own projects from start to finish and drive them across the finish line. Mentor and support teammates, contributing to continuous learning and improvement. Learn and apply new technologies across the stack, including ML-adjacent systems, data pipelines, and Dev Ops workflows
  • Tech Stack Exposure: Python, Type Script, React, Postgres, Kubernetes, Elasticsearch, and more
What We Look For
  • Experience building high-quality, production-ready software in backend, frontend, or full-stack environments
  • Strong…
Position Requirements
10+ Years work experience
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