As an Associate Product Manager, you will play a hands-on role in shaping the feature-level execution of our AI tools and platform initiatives. Working closely with Senior PMs, Engineering, UX Design, and Customer Success, you will turn legal workflows, real-time AI transcription, and automated matter intelligence into practical, user-friendly product features.
Responsibilities:
Feature Execution & Requirements: Write clear, actionable user stories, business rules, and acceptance criteria to bring AI-driven feature enhancements to life.
LOIS & Depositions Focus: Help execute functional requirements for LOIS-powered capabilities (such as automated deposition summaries, goal tracking, real-time AI analysis, and context-driven workflows).
Cross-Functional Partnership: Partner day-to-day with engineering and UX designers to transform customer needs into intuitive, well-designed software solutions.
Backlog Grooming & Slicing: Work iteratively with dev teams using Agile practices—slicing user stories into incremental deliverables, helping anticipate bottlenecks, and maintaining an organized sprint backlog.
Customer Research & Insights: Participate in customer calls, review feedback, and analyze product usage metrics to identify user pain points and inform feature-level decisions.
Quality & Acceptance Testing: Assist with User Acceptance Testing (UAT) alongside QA and engineers to ensure features meet quality standards before reaching customers.
Go-To-Market & Enablement Support: Collaborate with Product Marketing and Customer Success to help build release notes, internal feature documentation, user guides, and training materials.
Product Advocacy: Act as an internal subject matter expert for your assigned feature set, keeping internal teams updated on upcoming releases and functional changes.
Qualifications:
Experience: 3–5 years of experience in software product management, APM roles, or closely related positions (e.g., Business Analyst, Product Owner, Implementation Specialist) in SaaS.
Education: B.S. or M.S. in business, computer science, information systems, engineering, or equivalent practical experience.
Domain Interest: Interest in legal tech, generative AI, or complex workflow automation (prior experience in Legal Tech, Depositions, or AI products is a bonus, but not required).
Agile/SDLC Proficiency: Solid working knowledge of Agile/Scrum software development lifecycles and modern backlog management tools (e.g., Jira).
Analytical & Problem-Solving Skills: Comfort working with user feedback and basic quantitative data to prioritize work and solve complex logic problems.
Communication: Exceptional written and verbal communication skills, with a focus on translating business needs into clear technical documentation.
Travel: Ability to travel periodically for team alignment at Salt Lake City HQ, customer visits, or legal tech conferences.
Similar Jobs
What you need to know about the Seattle Tech Scene
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

