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.
What Youll be Doing:
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.
Lead and develop small group of two teams with top notch engineers, providing technical leadership, growing engineering managers, and driving execution across both product and infrastructure.
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.
What Youll be Doing:
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.
Lead and develop small group of two teams with top notch engineers, providing technical leadership, growing engineering managers, and driving execution across both product and infrastructure.
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.
Requirements:
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.
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.
This position is open to all candidates.
