The Operating Core for Legal
Senior Technical Product Manager, Doc Platform – AI Infrastructure
Location
United States
Posted
3 days ago
Salary
0
Seniority
Senior
Job Description
Senior Technical Product Manager, Doc Platform – AI Infrastructure
Filevine
• Define the platform vision and develop a comprehensive understanding of the architecture, capabilities, and limitations across all owning and consuming teams. • 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. • 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. • Own the adoption and migration strategy for platform functionality, working through influence, demonstrated value, and consensus-building to drive teams toward shared solutions. • 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. • 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.
Job Requirements
- 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.
- 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.
- 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.
- 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.
- Strong experience working within Agile/Lean delivery frameworks, with an emphasis on technical experimentation, iteration, and continuous system enhancement.
- 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.
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
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