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TL;DR
Senior Product Manager, Search Infrastructure (AI): Owning search infrastructure for an AI-agent web access layer, setting quality standards, shaping index coverage and freshness, and balancing relevance, latency, and cost with an accent on large-scale retrieval, evaluation, and agentic search workflows. Focus on designing release criteria, analyzing experiments, guiding search infrastructure strategy, and solving tradeoffs across coverage, freshness, quality, and cost.
Location: Tel Aviv, Israel. Applicants must be authorized to work in Israel and provide proof of employment eligibility.
Company
Nebius builds a full-stack AI cloud platform for developers and enterprises, including Tavily’s web access layer for AI agents.
What you will do
- Set quality standards and release criteria for search products in collaboration with the evaluation team.
- Own tradeoffs between search depth, latency, relevance, freshness, and cost.
- Shape index coverage, freshness requirements, corpus composition, and roadmap direction.
- Define the future of search infrastructure for AI agents and agentic retrieval workflows.
- Use customer feedback and competitive analysis to prioritize quality improvements.
- Partner with search engineering, research, data, vertical product, and customer success teams.
Requirements
- 5+ years of product management experience, including substantial work with high-scale search or ranking systems.
- Previous experience as an engineer, ML engineer, or researcher on a production search, ranking, or advertising system at scale.
- Experience shipping search or ranking changes end to end and evaluating their impact.
- Strong skills in experimentation, evaluation analysis, product judgment, and cross-functional influence.
- Strong understanding of LLMs, AI agents, and retrieval in agentic workflows.
- Authorization to work in Israel is required.
Nice to have
- Depth in information retrieval, NLP, or applied machine learning.
- Experience with index tiering, sharding, freshness pipelines, or cost-per-query optimization.
- Experience with hybrid retrieval, semantic and lexical search, reranking, or human evaluation programs.
- Experience with API-first developer platforms or high-growth technology companies.
Culture & Benefits
- Competitive compensation and career growth opportunities.
- Learning opportunities, flexibility, and real ownership.
- Collaborative, innovative, and international working environment.
- Opportunity to work on impactful AI projects with experienced engineering and research teams.
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