Description:
🎥 Life as an Engineer at EvenUp
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, EvenUp’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 DevOps workflows
- Tech Stack Exposure: Python, TypeScript, 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 understanding of software design, data modeling, and system architecture
- Ability to operate effectively in fast-paced, ambiguous environments
- Proven ability to own projects end-to-end and deliver meaningful outcomes
- Clear, thoughtful communication and strong cross-functional collaboration skills
- High ownership, accountability, and a bias toward action
- Demonstrated commitment to engineering excellence and team culture
Bonus (Nice to Have)
- Experience with Kubernetes or cloud-native infrastructure
- Exposure to machine learning, data engineering, or AI-driven products
- Prior experience in startups, scale-ups, or high-growth environments