Senior or Staff or Principal Product Manager, EvenUp
PLG & Self-Serve Location
$177.7-273.4k
Toronto: CA$157,250 – CA$228,000. Offers Equity
3+ days a week in office
AI-driven support for personal injury lawyers
Be an early applicant
AI-driven support for personal injury lawyers
501-1000 employees
Be an early applicant
$177.7-273.4k
Toronto: CA$157,250 – CA$228,000. Offers Equity
3+ days a week in office
501-1000 employees
Company mission
To close the justice gap using technology and AI.
Role
Who you are
- 4+ years of B2B product management experience, with hands-on ownership of customer-facing products involving the automation of manual/operational workflows, heavy data transformation, ETL, and/or data migration/mapping
- A track record of shipping products that drove measurable customer adoption and impact
- Comfort across the full PM toolkit — PRDs, user stories, customer interviews, QA, GTM enablement
- Strong storytelling and written/verbal communication
- Exhibits strong systems thinking and exceptional at pattern matching
- (Nice to have) Background as a data engineer, data analyst, data scientist, or data product manager
- (Nice to have) Hands-on experience with data warehousing, ETL, and/or data orchestration tools (Databricks, Snowflake, BigQuery, Redshift, Airflow)
- (Nice to have) Familiarity with Claude, Claude Code, Claude Design, Figma, Jira, or SQL
What the job involves
- We're hiring a Senior/Staff/Principal Product Manager to lead product-led growth (PLG) and self-serve tooling that removes operational toil from the processes around the setup, implementation, onboarding, maintenance, and optimization of all EvenUp instances
- Your mission is to empower our customers (personal injury law firms) and internal EvenUp ops specialists with products and tooling to ensure our customers are quickly getting the most out of everything that EvenUp has to offer, starting with building self-service data mapping tools that replace today's manual & ops-driven workflows
- This is a new seat on our product team, with ample space to define how EvenUp's growth motion scales as our customer base expands
- Identify which of EvenUp's customer-facing platform workflows (from implementation, onboarding, maintenance, to optimization) are most operationally inefficient for internal teams and customers, and prioritize based on impact and technical feasibility
- Design and ship self-service tooling, starting with data mapping tools, to ultimately reduce manual engineering and operational overhead
- Own the metrics that define success for product led growth: number of firms implemented, time-to-implement/onboard, and internal operator hours per onboarding
- Partner closely with Engineering, Design, and our Operations team to translate manual processes into scalable, self-serve product lines
- Write PRDs and user stories, run customer conversations, build QA tests, and create enablement material full-cycle ownership from problem discovery through post-launch iteration
- Thoughtfully incorporate LLM/LMM powered technology into the products that you build to drive customer growth forward, and build guardrails, evals, and feedback loops to support it
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
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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