Senior/Principal Product Manager, AI
EvenUp is a venture-backed generative AI startup that ensures injury victims are awarded the full value of their claims, expanding the $100B+ in awards granted to injury victims every year. Every year, the legal system has made it difficult for millions of ordinary people to seek justice, especially for folks without means or who come from underrepresented backgrounds. Our vision is to help these injury victims get the justice they deserve, irrespective of their income, demographics, or the quality of their legal representation.
EvenUp operates across all types of injury cases, from police brutality and child abuse to California wildfires and motor vehicle accidents. Our ML-driven software empowers attorneys to accurately assess the value of these cases by doing a core part of their workflow (legal drafting), enabling them to secure larger settlements in record time. As EvenUp evaluates more cases, our proprietary data grows, enhancing the precision of our predictions and delivering more value to both attorneys and victims alike.
We are now among the top 1% fastest-growing SaaS startups out there, growing ~4x year over year with $0 to $10M in ARR in <2 years. We’ve raised $65M in investment from some of the best investors in the world (Bessemer, Bain Capital, Signalfire, DCM, NFX, Tribe Capital), seasoned tech executives (i.e. founder of Quora, SVP at Google, former CPO at Uber), and public figures that care about our social mission (Nas, Jared Leto, Byron Jones). Our team comes from top tech, legal, and investing backgrounds including Waymo, Google, Amazon, Uber, Quora, Blizzard, Norton Rose, Warburg Pincus, Bain, and McKinsey.
What you’ll do:
AI is at the heart of everything we do. We have a large team of data scientists, machine learning engineers, and pipeline engineers who are continuously innovating ways to use AI for solving customer problems. As a Product Manager, you'll be the linchpin that collaborates with these highly skilled teams to identify customer pain points that can be alleviated through AI.
Our company is spearheading efforts in an ensemble of machine learning types—from computer vision and Natural Language Processing (NLP) to Large Language Models (LLMs). Your role will be to identify the most impactful solutions, determine how these various models integrate cohesively, and strategize their scalable deployment for processing millions of pages daily.
What we look for:
Experience in Data Pipelines and Infrastructure Systems: Understanding of data ingestion, ETL processes, cloud services, and system architecture.
Solid exposure to AI and ML: Deep understanding of machine learning algorithms, data science, and related AI technologies.
Product Experience: At least 2 years of experience in a product management or technical lead role, within an AI-driven company.
Analytical Skills: Strong quantitative and analytical skills, including familiarity with metrics and KPIs.
Strong Communication: Excellent written and verbal communication skills.
Leadership: Proven ability to lead cross-functional teams and drive projects to completion.
Startup Experience: Experience working in a fast-paced startup environment.
Bachelor’s degree in Computer Science, Engineering, Data Science or related field or equivalent software engineering experience.
Benefits & Perks:
We seek to empower all of our team members to fulfill our mission of making the world a more just place, regardless of our team’s function, geography, or experience level. To that end, we offer:
Fully remote setup - work from wherever you feel is best (Plus a stipend to upgrade your home office!)
Flexible working hours to match your style
Offsites - get to meet your coworkers on a fully-expensed trip every 6-12 months!
Choice of great medical, dental, and vision insurance plan options
Flexible paid time off
A variety of virtual team events such as game nights & happy hours
EvenUp is an equal-opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.