Senior Product Manager, Vertical Search (AI)

Location: London, United Kingdom

Company

Nebius builds a full-stack AI cloud platform for data, model training, inference, and production deployment. Tavily, part of Nebius, provides web access for AI agents and serves more than two million developers.

What you will do

• Own the vertical search roadmap, deciding which industries and use cases to invest in and what to ship.
• Shape product experiences on top of public and premium data for specific customer workflows.
• Evaluate external data providers and determine data quality, usability, and investment priorities.
• Conduct customer discovery, translate workflows into product specifications, and collaborate with engineering through launch.
• Define quality standards for search results and partner with evaluation and search teams on ranking and retrieval.
• Work with customer success and go-to-market teams to drive adoption, retention, and revenue.

Requirements

• 5+ years of product management experience, including meaningful experience in search, data, or industry-specific AI products.
• Experience building products for a specific industry or use case, with technical depth in underlying data and architecture.
• Track record of customer discovery and shipping products based on customer needs.
• Experience in API-first or developer-platform businesses.
• Strong understanding of LLMs, AI agents, search, and retrieval systems in agentic workflows.
• Technical background in computer science, engineering, or equivalent hands-on experience, plus the ability to influence cross-functional stakeholders.

Nice to have

• Experience in market intelligence, news, financial research, or another data-heavy industry.
• Background with data providers, enrichment vendors, market intelligence platforms, or vertical search companies.
• Experience evaluating and negotiating with external data providers.
• Leadership experience in a high-growth technology company or startup-within-a-larger-organization environment.

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.
• Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility.