Senior Product Manager, Vertical Search (AI)

Location: Amsterdam, Netherlands

Company

Nebius builds a full-stack AI cloud platform for data processing, model training, inference, and production deployment; Tavily is its web access layer for AI agents.

What you will do

• Own the vertical product roadmap, deciding which industries and use cases to prioritize, build, or discontinue.
• Shape product experiences on top of public and premium data for specific customer workflows.
• Evaluate data providers and determine data quality, usability, and investment priorities.
• Conduct customer discovery, translate workflows and pain points into product specifications, and partner with engineering through delivery.
• Define answer quality with the evaluation team and collaborate on ranking and result shaping for each use case.
• Partner with customer success and go-to-market teams to improve 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 sufficient technical depth to work with underlying data and architecture.
• Demonstrated customer discovery experience resulting in shipped products.
• Experience with 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 align cross-functional stakeholders without formal authority.

Nice to have

• Experience in market intelligence, news, financial research, or another data-heavy industry.
• Background at a data provider, enrichment vendor, market intelligence platform, or vertical search company.
• 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 real ownership.
• Collaborative, innovative, and international work environment.
• Opportunity to work on impactful AI projects with experienced engineering and research teams.