EvenUp

Full-stack Engineer

• Build first-of-a-kind technology that will transform an analog industry to improve the lives of millions of injury victims
• Have immediate impact in a small and tightly-knit team; be a key part of building the foundational blocks of their software and the team culture
• Be a core part of our engineering team: build and deploy and work on our core software product, tackle hard problems, explore and deliver solutions while working with key people across the organization
• Work with a world-class team and learn new technologies from the best; opportunities to work on projects in machine learning, data engineering, back-end, front-end, DevOps
• Work with our tech-stack: Python, Typescript, React, Postgres, Kubernetes, Elasticsearch…

Staff Software Engineer

Data Scientist

• EvenUp 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. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, 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 www.evenuplaw.com.
• About the team: The Analytics team at Evenup plays a critical role in driving data-informed decision-making across the organization. We partner closely with Product, Engineering, Operations, and Executive teams to uncover insights, build scalable data solutions, and enable a culture of data-driven decision making and continuous improvement. Our team is responsible for everything from foundational data modeling and reporting to advanced analytics and forecasting.
• We are looking for a curious, impact-driven early career Economist / Data Scientist to join our fast-paced, data-driven team. You’ll work at the intersection of data, economics, and strategy to drive high-impact decisions across pricing, growth, and product monetization. You will apply your expertise in causal inference, econometrics, and behavioral analysis to answer some of the most critical questions in our business, and shape the way we use economics and data science to drive long-term value.
• The ideal candidate for this role may be a recent economics PhD graduate with relevant research experience, typically in computationally intensive empirical topics, as well as some exposure to data management and data science. More senior candidates are also welcome to apply.
• Please Note: This is a hybrid role with the expectation of working at least 3 days a week from one of our office hubs in San Francisco or Toronto.

Early-Career Data Scientist / Economist

• EvenUp 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, backed by top VCs; learn more at www.evenuplaw.com.
• The Analytics team drives data-informed decision-making across the organization; partner with Product, Engineering, Operations, and Executive teams to uncover insights, build scalable data solutions, and enable a culture of data-driven decision making and continuous improvement.
• What You'll Do: Develop data-driven insights from user behavior to inform our product roadmap and accelerate adoption; Figure out the right metrics and visualizations to track and implement them in dashboards, from features to company-wide; Work closely with other functions, such as engineering, product, growth, design, and user research; Build tables to make analysis more efficient and make data more accessible.
• What We're Looking For: 2+ years of experience in data science, strong SQL and Python, data modeling, adaptability, communication, and attention to detail.
• Bonus Points: Experience with DBT and Bigquery

Backend Engineer

• EvenUp mission to close the justice gap using technology and AI, empowering personal injury lawyers and victims
• Join SF team to build backend systems for AI-powered legal tech platform and support San Francisco expansion
• Hybrid role with 3 days per week in San Francisco office
• Design, develop, and optimize robust, scalable backend systems ensuring reliability and performance at scale
• Collaborate with engineering teams on product requirements and deliver scalable solutions
• Work on complex backend challenges including data processing, infrastructure, and integration of large-scale ML models
• Drive development of backend frameworks, libraries, and systems
• Mentor, onboard, and build engineering culture; take ownership of projects from inception to deployment

Senior Backend Engineer, Agents

EvenUp 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. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, 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 www.evenuplaw.com.
We are seeking a Senior Software Engineer to join our San Francisco team and help us build a world-class engineering organization that will play a critical role in our San Francisco expansion. As we grow our presence in the San Francisco area, we’re looking for engineers who are passionate about technology, scalability, and making an impact in the legal tech space. You will be part of an ambitious team that’s committed to building reliable and scalable backend systems for an AI-powered platform that’s redefining the future of legal services.
This is a hybrid role with 3 days per week spent collaborating with the team in the San Francisco office.
Design, develop, and optimize robust, scalable backend systems that power EvenUp’s AI-driven platform, ensuring reliability and performance at scale
Work closely with internal engineering teams to understand new product requirements and deliver high-quality, scalable solutions
Collaborate with world-class engineers on complex backend challenges, including data processing, infrastructure, and integration of large-scale machine learning models
Drive the development of key backend frameworks, libraries, and systems to enhance EvenUp’s product offerings
Contribute to EvenUp's engineering culture by helping new engineers understand what it takes to build systems in a Silicon Valley-style startup while ensuring quality and best practices in a fast-paced environment
Actively engage in team building efforts and mentorship to help build a world-class engineering team in San Francisco
Take full ownership of complex engineering projects from inception to deployment, ensuring they meet EvenUp’s high standards for performance, scalability, and security.

Senior Backend Engineer, Growth

Machine Learning Engineer

• EvenUp mission: close the justice gap using technology and AI, enabling law firms to secure faster settlements and better outcomes for victims
• Hybrid Staff Machine Learning Engineer role focused on LLMs and Document AI for legal and medical text
• Develop advanced document AI models for entity/relationship extraction, document structure understanding, information retrieval and reasoning
• Conduct hands-on data analysis to ensure high-quality training and evaluation datasets; manage outliers, mislabeled data, edge cases, noise, and drift
• Solve long-context and multi-document reasoning challenges; reduce hallucinations and improve factual consistency
• Lead LLM fine-tuning using reinforcement learning with verifiable reward signals and parameter-efficient techniques (LoRA, QLoRA)
• Mentor and guide ML engineers and data scientists; collaborate with product, engineering, and legal experts
• Expectation to work at least 3 days a week from San Francisco or Toronto hubs

Staff Software Engineer

Early-Career Data Scientist / Economist

Data Scientist

Senior Backend Engineer, Agents

Senior Backend Engineer, Growth

Staff Machine Learning Engineer, LLMs and Document AI