Director - Agentic Web Search Product & Data Infrastructure

Description:

We're building one of the most agentic, fast-moving AI products in the web search category - and we need a leader who can own it end to end. This is a cross-functional group leader role sitting at the intersection of AI product leadership and high-scale AI infrastructure: you'll lead the team building our agentic search product, and own the data infrastructure that indexes and caches the web at scale.

• Set technical and product direction for an agentic web search AI system, from research and benchmarking through production and scale.
• Bring deep, hands-on expertise in LLMs, agentic architectures, evaluation/benchmarking, and modern AI/LLMOps practices; make build-vs-buy and architecture calls with authority, not just strategy.
• Drive the product to a category-winning position within an aggressive timeline.
• Own the infrastructure supporting an API surface currently serving millions of calls/month, with a mandate to lead its growth to billions/month.
• Bring proven, hands-on experience scaling high-throughput, high-availability infrastructure - not just AI-adjacent platform experience - including reliability, cost, and performance at that scale.
• Own the data infrastructure needed to run the product, including large-scale data pipelines, storage, and operations.
• Lead a worldwide web caching and indexing operation at high scale, ensuring freshness, coverage, and cost-efficiency of the index.

• 2+ years of experience in a company operating in the agentic AI / AI infrastructure space, having owned and developed an AI product in production at scale.
• 10+ years leading high-scale R&D infrastructure - proven track record scaling systems by an order of magnitude or more, not just operating at scale someone else built.
• 2+ years of demonstrated experience managing team leaders, with a genuine track record of developing them.
• Deep, hands-on AI engineering/ML expertise: LLMs, agentic systems, evaluation/benchmarking methodology, prompt/context engineering, and LLMOps.
• Experience owning or closely partnering with large-scale data infrastructure - pipelines, storage, and especially web-scale crawling, caching, and indexing.
• Experience taking a product from early stage to a clear, competitive market position, and scaling its infrastructure from millions to billions of API calls/month.