Filevine - Senior Technical Product Manager, Doc Platform & AI Infrastructure
Requirements
• Experience: 5+ years of software product management experience in SaaS, with a proven track record of responsibility for technically complex products or platforms. Candidates with fewer years but strong relevant domain experience (e.g., document management systems, search and indexing infrastructure, RAG or LLM pipelines, or legal technology) will be given serious consideration. • Technical Depth: Demonstrated knowledge of software development methodologies and sufficient technical fluency to engage substantively with engineers on topics like document processing pipelines, full-text and vector search, or content extraction, with particular value placed on shipping data-heavy or AI/ML-adjacent features responsibly and securely at scale. • Platform Leadership: Comfort operating in a complex, multi-team environment and experience managing platform or shared-service products where adoption is driven by value rather than mandate, including the ability to build consensus across teams, navigate competing priorities, and manage complex cross-team migrations. • Analytical Mindset: Strong analytical skills and a data-driven mindset, experience defining and tracking core product outcomes (adoption, accuracy, user confidence) along with the ability to identify where platform investment creates compounding leverage versus where it introduces unnecessary constraints or overhead • Execution & Agility: Strong experience working within Agile/Lean delivery frameworks, with an emphasis on technical experimentation, iteration, and continuous system enhancement. • Communication Skills: Excellent communication and interpersonal skills with the ability to translate highly complex technical tradeoffs and AI concepts into clear narratives for both engineering teams and non-technical stakeholders. • Prior product management experience in Legal Tech, Legal AI, or adjacent compliance-heavy industries, particularly in areas touching document discovery, production, practice management, or other document-dense applications • Direct familiarity or hands-on experience with one or more of the following: scaled distributed document processing or management systems; Opensearch, Elasticsearch or comparable indexing and search technologies; OCR and content extraction pipelines; vector databases and embedding strategies; generative AI context engineering; hybrid search architectures; • Compensation Information: $140,000 - $190,000 • The salary range represents the low and high end of the salary range for this position. The total compensation package for this position will be determined by each individual’s location, qualifications, education, work experience, skills and performance. • An individual’s final offer will be weighted by their primary work location and expertise.
Responsibilities
• Platform & Search Ownership: Define the platform vision and develop a comprehensive understanding of the architecture, capabilities, and limitations across all owning and consuming teams, translated into a clear strategy and prioritized roadmap that balances platform maturity with delivery of new functionality. • Technical Requirements: Partner with platform engineers and technical leads to define requirements, constraints, and success criteria for platform investments incorporating infrastructure capabilities and customer needs into clear, actionable specifications that give engineering teams the context and clarity to make sound decisions on topics such as OCR pipelines, chunking strategies, indexing technologies, embedding and vector storage, and related infrastructure. • Document Infrastructure: Partner closely with backend engineering, infrastructure teams, and data science to drive efficiency, improve consistency, simplify processing, and align document management functionality with the broader platform. • Feature Enablement: Own the adoption and migration strategy for platform functionality, working through influence, demonstrated value, and consensus-building to drive teams toward shared solutions. Collaborate with peer PMs responsible for both AI-powered and traditional user-facing features to ensure platform capabilities are well-positioned to support new product requirements. • Data-Driven Optimization & Metrics: Monitor, analyze, and optimize performance,latency, cost-to-serve, and core engineering metrics. In collaboration with machine learning engineers, track AI platform outcomes, including data extraction accuracy, ingestion throughput, indexing latency, and search precision/recall. • Evangelism & Mentorship: Proactively build awareness of document platform capabilities across the organization. Mentor Associate and mid-level Product Managers in technical product processes, data-driven decision making, and infrastructure leadership.
Benefits
• A dynamic, rapidly growing company, focused on helping organizations thrive • Medical, Dental, & Vision Insurance (for full-time employees) • Competitive & Fair Pay • Maternity & paternity leave (for full-time employees) • Short & long-term disability • Opportunity to learn from a dedicated leadership team • Top-of-the-line company swag • Filevine will handle your personal information according to what’s outlined in our Privacy Policy. • Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to. • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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