Staff/Principal Data Product Manager — AI SaaS, Hybrid

EvenUp; San Francisco (CA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Medical/Dental/Vision insurance

Life/accidental/critical illness

Flexible PTO

US holidays & Canadian holidays

Home office stipend

401(k)/RRSP

Parental leave

In-person meet-up

Hubs in SF and Toronto

Job summary

EvenUp is building the AI-native platform for personal injury law. We’re looking for a Staff or Principal PM to define and build our data products portfolio, where we use proprietary data to help law firms achieve better, faster results for their clients.

This is a hybrid role based out of one of our office hubs, with an expectation of at least 3 days per week in office. You’ll define data product strategy, own lifecycle from discovery to launch, and collaborate with ML, data engineering, and

Qualifications

• 4–8+ years of PM experience in B2B SaaS.
• Proven 0-to-1 data products experience.
• Strong user research and UX sense.
• Ability to trade off build vs buy with data engineering/ML teams.
• Ability to define data models and product strategy.

Responsibilities

• Drive the product strategy for how EvenUp’s data creates value over time.
• Own the full product lifecycle for data products from discovery to launch and iteration.
• Partner with ML and data engineering teams to define data modelling requirements.
• Translate user and market needs into prioritization decisions with rigor and clarity.
• Collaborate with design, customer success, and GTM teams for smooth launches and feedback loops.

Skills

Product management

B2B SaaS

Data products

User research

Cross-functional

Tools

SQL

Job description

EvenUp is building the AI-native platform for personal injury law. We’re looking for a Staff or Principal PM to define and build our data products portfolio, where we use proprietary data to help law firms achieve better, faster results for their clients.

This is a hybrid role based out of one of our office hubs, with an expectation of at least 3 days per week in office. You’ll define data product strategy, own lifecycle from discovery to launch, and collaborate with ML, data engineering, and