Senior/Staff Product Manager, EvenUp

AI Orchestration & Agentic Workflows

$177.7-240.3k

Salary applicable to SF applicants, for Toronto applicants the range is $157,250 – $206,544. + Equity for all

Mid and Senior level

San Francisco Bay Area

Toronto

3+ days a week in office

AI-driven support for personal injury lawyers

Open for applications

AI-driven support for personal injury lawyers

501-1000 employees

FintechB2BArtificial IntelligenceLegal

Open for applications

$177.7-240.3k

Salary applicable to SF applicants, for Toronto applicants the range is $157,250 – $206,544. + Equity for all

Mid and Senior level

San Francisco Bay Area

Toronto

3+ days a week in office

501-1000 employees

FintechB2BArtificial IntelligenceLegal

Company mission

To close the justice gap using technology and AI.

Job

Company

Role

Who you are

4-8+ years in product management, ideally with AI/ML products, workflow automation, or B2B SaaS
Deep curiosity about agentic systems, including multi-agent architectures, tool-use, and chain-of-thought decision-making
Technical fluency to work directly with AI engineers on prompt engineering strategies, eval metrics, and system architecture
A "Startup DNA" mindset: scrappy, adaptable, and comfortable with the ambiguity of a fast-paced environment
Experience with LLMs, RAG systems, or 0→1 product development is highly preferred
Location: San Francisco preferred

What the job involves

We’re looking for a Product Manager who will build the brain of our AI system: the orchestration layer that powers everything from intelligent playbooks to self-executing workflows to continuous learning systems. (Final leveling will be determined through the interview process)
This isn’t about managing features. It’s about architecting how AI agents work together to transform how law firms operate—and defining what “agentic workflow” means for legal AI
AI Playbooks: Build systems that allow firms to teach our AI what to look for, automatically running that intelligence across every case and document to ensure nothing falls through the cracks
Smart Workflows: Create workflows that analyze case data, make decisions about when to act, and automatically route cases toward faster resolution and higher settlements
Context Systems: Build knowledge graphs and dynamic prompting systems that give our AI a deep understanding of case history, firm preferences, and legal nuances
Evaluation & Quality Control: Own the eval framework, prompt iteration systems, and quality feedback loops to ensure our AI is reliable, powerful, and continuously improving

Our take

Every year, millions of personal injury cases in the US are resolved with only a small fraction going to trial, leaving many victims potentially under-compensated due to inaccurate settlement proposals. EvenUp aims to change this by leveraging AI technology to streamline the assessment of injury cases.

The AI tools evaluate raw case files, including medical and police records, creating tailored "demand packages" that present comprehensive compensation arguments. This improves lawyer performance and victim outcomes.

Despite concerns about AI bias and privacy, EvenUp has garnered significant investor interest, closing a funding round in 2025 that was one of the largest in the history of legal AI. Now valued at over $2 billion, it is investing in its team and introducing new techniques and products for personal injury and other legal areas.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

Glassdoor (3.1)

Company

Funding (last 2 of 4 rounds)

Oct 2025

$150m

SERIES E

Oct 2024

$135m

SERIES D

Total funding: $370m

Company benefits

Flexible working hours to match your style
Offsites - get to meet your coworkers on a fully-expenses trip ever 6-12 months
A variety of virtual team events such as game nights & happy hours
Choice of medical, dental, and vision insurance plans for you and your family
Flexible paid time off and 10+ holidays per year
A stipend to upgrade your home office for fully-remote roles
401k for US-based employees 🇺🇸

Company HQ

Financial District, San Francisco, CA

Leadership

Rami Karabibar

(Co-Founder & CEO)

Graduated from the McGill University with a Bachelor's Degree in Investment Management. Previously worked as a Management Consultant at Bain & Company and as a Startup Generalist at Zoomer.

Raymond Mieszaniec

(Co-Founder & COO)

Previously co-founded EquitySim. Also worked as a Risk Consultant at PwC Hong Kong and Mainland China and as an Accountant at Scotiabank.

Saam Mashhad

(Co-Founder, Chief of Product & Legal Operations)

Previously worked as a Law Clerk at the Superior Court of Quebec. Also co-founded Compass Startup & Legal Clinic where they served as the Director for 3 years before becoming an Associate at Norton Rose Fulbright.

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