Senior Product Manager, Agentic Search

Cloudflare•San Francisco, CA

17h

About The Position

Cloudflare is hiring a Senior Product Manager to lead Agentic Search, helping make Cloudflare the default place developers and agents search across private data and the open web. The role owns strategy, roadmap, and execution for AI Search and Web Search API, and contributes to building a search ecosystem serving AI companies, site owners, and creators. AI Search is a managed indexing and retrieval pipeline for customers’ internal data, built on Workers AI, Vectorize, R2, and Browser Run. Developers can connect websites or R2 buckets, upload files, and query using natural language through a Workers binding, REST API, or MCP server. Capabilities include continuous indexing, hybrid vector and keyword retrieval, reranking, metadata filtering, multimodal image embeddings, and OCR. Web Search API provides agents real-time open-web context through one API call, with normalized results from multiple providers and AI Gateway logging, analytics, billing, and access controls. The product manager will work closely with developers, AI companies, publishers, customers, engineering, ML, product, and go-to-market teams. The role also represents Cloudflare at conferences, community events, and customer and partner meetings. Locations include Austin, Lisbon, San Francisco, NYC, or London.

Requirements

Proven experience as a product manager, engineering manager, or founder shipping search, information retrieval, data infrastructure, or developer platform products.
Experience leading teams to ship products and demonstrate impact.
Deep understanding of end-to-end search, including crawling, indexing, chunking, embeddings, hybrid retrieval (BM25 and vector), query rewriting, reranking, and retrieval-augmented generation (RAG).
Understanding of tradeoffs among relevance, freshness, latency, and cost.
Experience defining and measuring search quality, including offline evaluations, relevance judgments, metrics such as recall, MRR, and NDCG, and online experimentation.
Fluency in the modern AI ecosystem, including LLMs, text and multimodal embedding models, agents, tool calling, and MCP; practical experience building with these technologies and understanding their limitations.
Hands-on ability to write code and use AI and the Internet to learn quickly; experience building a RAG pipeline or an agent that searches the web.
Deep empathy for developers and understanding of their workflows, pain points, and adoption of tools and platforms.
Understanding of the web publishing ecosystem, including crawlers, bots, SEO, answer engine optimization (AEO), and the changing economics of AI search for content creators.
Comfort working across technology, business, and policy.
Exceptional communication and collaboration skills, including the ability to translate between ML research, infrastructure engineering, and business stakeholders and align diverse teams.
Attention to design details and product polish.
External presentation skills and ability to build trust and credibility with developers and AI company leaders.

Nice To Haves

Experience with usage-based pricing, two-sided marketplaces, or partner and business development relationships, including build-versus-partner decisions.

Responsibilities

Talk directly with developers, AI companies, publishers, and customers.
Own the strategy, roadmap, and execution for Agentic Search, including AI Search and Web Search API, from ingestion and indexing through retrieval, ranking, and answer generation.
Define and measure search quality, including relevance, freshness, latency, and cost, and build evaluations to improve it with each release.
Scale AI Search for multi-tenant platforms, enterprise agents, and website search, supporting billions of documents, rich media, and built-in observability.
Shape the future of Web Search API, including provider partnerships, combining search and page extraction in one call, and blending web and private data.
Own pricing and packaging, and make products first-class for agents through MCP, agent-friendly APIs, and templates such as NLWeb.
Partner with engineering, ML, and product teams across Workers AI, Vectorize, AI Gateway, Browser Run, and AI Crawl Control, as well as Marketing, DevRel, BD, Sales, and Support.
Represent Cloudflare at conferences, community events, and customer and partner meetings.

Benefits

Medical/Rx insurance
Dental insurance
Vision insurance
Flexible spending accounts
Commuter spending accounts
Fertility and family-forming benefits
On-demand mental health support and Employee Assistance Program
Global travel medical insurance
Short- and long-term disability insurance
Life and accident insurance
401(k) retirement savings plan
Employee stock participation plan
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
Equity plan participation