Senior Product Manager

AI applications differ widely in what they need from the web. A legal AI needs exhaustive coverage of case law. A competitive intelligence platform needs hourly refresh on competitor pricing. A financial AI agent needs real-time market data fused with news. A general web index gives all of them the same thing. We're building something better.

We are looking for a Product Manager to lead our AI Web Infrastructure product line: domain-specific, deeply crawled, high-freshness data infrastructure built for AI-native companies with premium accuracy and coverage requirements. This is greenfield product work at the intersection of search infrastructure, data engineering, and the agentic AI wave.

You will own the roadmap for how we go deep in specific verticals (financial data, news, legal, and beyond) and how we expose that infrastructure as API products customers can build on. You'll work directly with engineering on crawl architecture, ranking models, and eval frameworks; directly with customers and BD to close and onboard design partners; and across the company to define what AI web infrastructure means as a product category.

This is an entirely new product category in the AI space – one that is already operating at enterprise production scale for demanding customers. This role is for someone who has done this work directly (web infrastructure, search systems, large-scale crawl and indexing pipelines) or has strong adjacent experience (ML infrastructure, data pipelines, eval systems, LLM products). Either path prepares you well.

• →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

• 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

• Greenfield. AI web infrastructure is a new product line. You're defining the category from the ground up.
• Technically deep. This is real infrastructure work on hard, unsolved problems.
• Agentic timing. The shift from human queries to agent queries is happening now. The infrastructure defaults are still being set.
• Company fundamentals. 1B+ queries/month, enterprise logos at production scale, pure-play infrastructure purpose-built for AI companies.