Senior Technical Product Manager, Doc Platform & AI Infrastructure

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.