Product manager in vertical search

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

• Own the vertical roadmap. You decide where we invest, what we ship for each, and when a vertical is not worth it.
• Shape the product surface on top of the data, so a customer gets something built for their job.
• Find and evaluate the data behind each vertical, across public sources and paid providers, and decide what is worth investing in.
• Sit with customers in these industries until you understand their workflow, then turn that into specs engineering can build.
• Set what a good answer looks like in each use case, working with our evaluation team, who own how we measure it.
• Work with customer success to learn what customers ask us for and what makes them leave.
• Partner with the search owner on how results should be ranked and shaped for each use case.

• 5+ years of product management experience, with a meaningful portion in search, data, or industry-specific AI products.
• Experience building products for a specific industry or use case, combined with enough technical depth to work directly on the data underneath: where it comes from, how good it is, and what it takes to make it usable.
• A track record of real customer discovery: you have gone deep on how a particular kind of team works, and shipped something because of what you found.
• Experience in API-first or developer-platform businesses.
• Strong understanding of LLMs, AI agents, and how search and retrieval systems fit into agentic workflows.
• A technical background, through a degree in computer science or engineering or equivalent hands-on experience, with the ability to engage deeply with technical architecture and tradeoffs.
• The ability to influence and align cross-functional stakeholders without formal authority.
• Будет плюсом: Domain 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, or experience building vertical data products in-house; Experience evaluating and working with external data providers, including judging quality and negotiating what you actually need; Leadership experience in a high-growth technology company, especially post-acquisition or startup-within-a-larger-org environments

• Competitive compensation
• Career growth and learning opportunities
• Flexibility and ownership
• Collaborative and innovative culture
• Opportunity to work on impactful AI projects
• International environment and talented teams
• Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI