Senior Product Manager, Search Infrastructure (AI)

Location: London, United Kingdom

Company

Nebius is building a full-stack AI cloud platform for data processing, model training, inference, and production deployment. Tavily, part of Nebius, provides a web access layer and search infrastructure for AI agents.

What you will do

• Set quality standards and release criteria for search products in partnership with the evaluation team.
• Own depth, latency, freshness, relevance, and cost tradeoffs across search products.
• Shape the direction of the search index, including coverage, freshness requirements, and quality targets.
• Develop a roadmap for search infrastructure designed for AI agents and agentic retrieval workflows.
• Use competitive analysis and customer feedback to prioritize improvements and close important quality gaps.
• Partner with search engineering, research, data, vertical product, customer success, and customers.

Requirements

• 5+ years of product management experience, including substantial work on high-scale search or ranking systems.
• Prior experience as an engineer, ML engineer, or researcher on a production web search, feed-ranking, or advertising system is required.
• End-to-end experience shipping search or ranking changes, including evaluation and post-launch analysis.
• Strong ability to design experiments, interpret evaluation results, and distinguish quality improvements from noise.
• Strong understanding of LLMs, AI agents, retrieval, product judgment, and cross-functional influence.
• Applicants must already be authorized to work in the United Kingdom and provide proof of employment eligibility.

Nice to have

• Depth in information retrieval, NLP, or applied machine learning.
• Experience with index tiering, sharding, freshness pipelines, or cost-per-query optimization at scale.
• Experience with hybrid retrieval, semantic and lexical search, re-ranking, or human evaluation programs.
• Experience with API-first developer platforms, enterprise products, or high-growth technology companies.

Culture & Benefits

• Competitive compensation and career growth opportunities.
• Learning opportunities, flexibility, and meaningful ownership.
• Collaborative, innovative, and international working environment.
• Opportunity to work on impactful AI projects with experienced engineering and research teams.