Associate Product Manager

Filevine

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 ex