4-8+ years in product management with a focus on AI/ML, workflow automation, or B2B SaaS
Deep curiosity about agentic systems and decision-making in AI
Strong prioritization skills to ship and iterate quickly
Technical fluency to engage with AI engineering teams
Startup mindset, adaptable to change and comfortable with ambiguity
Responsibilities
Build the orchestration layer for AI systems in legal tech
Develop AI Playbooks to automate case intelligence tracking
Create Smart Workflows that analyze case data for decision-making
Design Context Systems for personalized AI case insights
Establish Evaluation & Quality Control frameworks for AI accountability
Benefits
Medical, dental, and vision insurance options
Flexible paid time off and sick leave
Home office stipend for remote work
401(k) and RRSP retirement plans
Paid parental leave and holiday observances
Full Job Description
This is a hybrid role based out of our San Francisco or Toronto offices, with an expectation of at least 3 days per week in office.
What you'll do:
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.
What we look for:
4+ 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 01 product development is highly preferred.
Location: San Francisco preferred.
Benefits & Perks:
As part of our total rewards package, we offer attractive benefits and perks to our employees, including:
Choice of medical, dental, and vision insurance plans for you and your family.
Additional insurance coverage options for life, accident, or critical illness.
Flexible paid time off, sick leave, short-term and long-term disability.
10 US observed holidays, and Canadian statutory holidays by province.
A home office stipend.
401(k) for US-based employees and RRSP for Canada-based employees.
Paid parental leave.
A local in-person meet-up program.
Hubs in San Francisco and Toronto.
(Please note the above benefits & perks are for full-time employees)
Notice to Candidates:
To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you're interested in a role, please submit your application directly through our careers page.
Please note that EvenUp may use AI notetakers and other recording devices in the recruiting process. If you interview with us, with your consent, we may record your conversations and summarize them into notes for internal use. Recording is optional, and declining will not affect your candidacy.
