Senior Product Manager

You.com is building the AI Search Infrastructure that powers modern AI systems, aiming to create a trusted knowledge layer for various applications. They are seeking a Senior Product Manager to lead their AI Web Infrastructure product line, focusing on developing domain-specific data infrastructure for AI-native companies.

Responsibilities:

• Own the vision, strategy, and roadmap for AI web infrastructure products, from initial design-partner scoping through production deployment and scale
• Define what domain-specific web infrastructure means as a product: crawl depth, freshness requirements, ranking models, data fusion, and the API surface customers interact with
• Lead the full product development lifecycle for new vertical index APIs: discovery, scoping, specification, launch, and iteration
• Partner with engineering to define crawl architecture, extraction pipelines, ranking approaches, and performance SLAs for each vertical
• Build and run the eval framework for vertical indexes: customer-provided eval sets, ROI metrics, and case study development
• Work directly with BD and Sales to scope design-partner deals, translate customer requirements into product specs, and support closing
• Conduct market analysis on vertical data needs, competitive offerings, and emerging AI application requirements
• Track and improve key metrics: coverage completeness, freshness delta, ranking quality, API latency, and customer satisfaction

Requirements:

• 5+ years in product management, with significant experience owning API-driven data products, data infrastructure, or large-scale data pipelines
• Strong technical foundation: able to reason deeply about crawl architecture, data pipelines, ranking systems, and API design
• Experience with evaluation frameworks: defining ground truth, designing benchmarks, and measuring quality rigorously
• Track record of shipping at speed in ambiguous, fast-moving environments; startup experience strongly preferred
• Exceptional written and verbal communication: able to produce a crisp product spec, a customer-facing pitch, and an engineering design doc
• Background in ML infrastructure, data quality, or LLM evaluation; or direct experience building web-scale systems (crawling, extraction, indexing, or ranking)
• Experience with web infrastructure at scale: crawl pipelines, index architecture, or search ranking systems
• Familiarity with the AI search infrastructure landscape and agentic AI application patterns
• Experience working with enterprise customers on bespoke data requirements