Senior Product Manager - AI/ML ›
Filevine
Product, Software Engineering, Data Science
United States
Posted on Sep 19, 2025
Responsibilities
- Define and deliver product vision, strategy, and specifications for AI-driven features and enhancements.
- Lead planning and communication of product functionality, user experience, and customer impact—ensuring AI capabilities are intuitive, trusted, and valuable.
- Act as a Product Evangelist, championing Filevine’s AI-first vision across teams and to our customers.
- Translate complex business and customer needs into clear product requirements, rules, flows, and use cases—especially where AI-driven automation or insights are involved.
- Collaborate with engineering, data science, and design to build usable, high-quality AI experiences and working solutions.
- Analyze data, customer research, and feedback to identify opportunities where AI can reduce friction, unlock insights, and improve outcomes.
- Break down work into incremental user stories with well-defined acceptance criteria and coordinate with engineering to ensure smooth delivery.
- Anticipate bottlenecks and prioritize backlog in alignment with both business goals and long-term AI product direction.
- Partner closely with other Product Managers and Team Leads to execute against the AI roadmap and broader platform strategy.
- Conduct acceptance testing in partnership with QA, engineers, and customers—validating both functional and ethical dimensions of AI features.
- Drive zero-to-one product launches, contributing to Filevine’s go-to-market strategy for AI-powered tools.
- Mentor Associate and mid-level Product Managers in AI product process, data-driven decision making, and product leadership.
Qualifications
- 5+ years of product management experience in SaaS, with AI product experience strongly preferred (ML-powered products, NLP, automation, workflow intelligence).
- Deep knowledge of software development methodologies and the product lifecycle, with an emphasis on shipping AI/ML features responsibly and at scale.
- Strong analytical skills and a data-driven mindset, with the ability to measure AI outcomes (accuracy, efficiency, adoption, trust).
- Ability to balance innovation with business outcomes, adapting quickly to changing priorities while keeping long-term vision in focus.
- Excellent communication and interpersonal skills—able to translate AI concepts into clear business value.
- Experience working in Agile/Lean delivery frameworks, with an emphasis on experimentation and iteration.
- A passion for driving efficiency, quality, and measurable value for customers through AI.
- Preferred: Experience in Legal Tech or related verticals, or deep familiarity with compliance-heavy industries.
- B.S. or M.S. in Computer Science, Engineering, Information Systems, Business, or related field; equivalent certifications or direct work experience considered.