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Director of Agentic Search and Data Infrastructure
·Israel
On-siteFull-timeEngineering ManagementSoftware DevelopmentAI
Lead the agentic search product and data infrastructure at a real-time web search platform. This cross-functional role combines AI product leadership with high-scale infrastructure ownership, driving a category-winning position and scaling API calls from millions to billions per month.
Responsibilities
- Set technical and product direction for an agentic web search AI system, from research and benchmarking through production and scale.
- Provide hands-on expertise in LLMs, agentic architectures, evaluation/benchmarking, and modern AI/LLMOps practices; make build-vs-buy and architecture decisions with authority.
- Lead and develop a small group of two teams with top engineers, providing technical leadership, growing engineering managers, and driving execution across 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 per month, with a mandate to lead its growth to billions per month.
- Bring proven, hands-on experience scaling high-throughput, high-availability infrastructure, 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 with a proven track record of scaling systems by an order of magnitude or more.
- 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, including 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 per month.
Benefits
- Work on a deeply technical platform powering real-time AI and enterprise decisions.
- Help define the future of Web Search Agents and live web intelligence.
- Build alongside a sharp, mission-driven team that moves fast, ships often, and takes ownership.