Senior Product Manager, Agentic Search - Nebius

Own a core product area end-to-end: strategy, roadmap, execution, and iteration based on real usage signals and customer feedback. Drive search quality and relevance improvements by working closely with engineering and research to define evaluation frameworks, benchmarks, and release criteria. Engage directly with enterprise customers and developer users to validate ideas, understand pain points, and shape product-market fit across both PLG and enterprise motions. Monitor the competitive landscape in agentic search and AI-powered retrieval, identifying shifts, threats, and opportunities that should inform product decisions. Collaborate with go-to-market teams (sales, solutions, growth) to ensure product positioning, ICP definitions, and enablement materials reflect product reality. Contribute to product strategy as a senior voice on a small, high-impact team, challenging assumptions and bringing independent judgment to key decisions. Lead product experiments and rapid iteration cycles, moving from hypothesis to prototype to production with clear success criteria. 5+ years of product management experience, with a meaningful portion in developer tools, API platforms, or search and retrieval infrastructure. Track record of shipping products in fast-moving markets, working closely with engineering and design from concept through launch and iteration. Strong understanding of LLMs, AI agents, and how search and retrieval systems fit into agentic workflows. Hands-on technical background is a strong plus. Degree in computer science, engineering, or a related field, with the ability to engage deeply with technical architecture and tradeoffs. Comfortable operating in ambiguity: you can context-switch between strategic thinking and tactical execution without losing the thread. Proven ability to influence cross-functional stakeholders and drive alignment without formal authority. Excellent written and verbal communication: you can explain technical concepts clearly to both engineers and business stakeholders. Experience in search, information retrieval, NLP, or adjacent domains. Background in API-first or developer-platform businesses with both PLG and enterprise motions. Leadership experience in a high-growth technology company, especially post-acquisition or startup-within-a-larger-org environments. People management or mentoring experience (building the skills of other PMs). 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

Own a core product area end-to-end: strategy, roadmap, execution, and iteration based on real usage signals and customer feedback. Drive search quality and relevance improvements by working closely with engineering and research to define evaluation frameworks, benchmarks, and release criteria. Engage directly with enterprise customers and developer users to validate ideas, understand pain points, and shape product-market fit across both PLG and enterprise motions. Monitor the competitive landscape in agentic search and AI-powered retrieval, identifying shifts, threats, and opportunities that should inform product decisions. Collaborate with go-to-market teams (sales, solutions, growth) to ensure product positioning, ICP definitions, and enablement materials reflect product reality. Contribute to product strategy as a senior voice on a small, high-impact team, challenging assumptions and bringing independent judgment to key decisions. Lead product experiments and rapid iteration cycles, moving from hypothesis to prototype to production with clear success criteria.

Own a core product area end-to-end: strategy, roadmap, execution, and iteration based on real usage signals and customer feedback. Drive search quality and relevance improvements by working closely with engineering and research to define evaluation frameworks, benchmarks, and release criteria. Engage directly with enterprise customers and developer users to validate ideas, understand pain points, and shape product-market fit across both PLG and enterprise motions. Monitor the competitive landscape in agentic search and AI-powered retrieval, identifying shifts, threats, and opportunities that should inform product decisions. Collaborate with go-to-market teams (sales, solutions, growth) to ensure product positioning, ICP definitions, and enablement materials reflect product reality. Contribute to product strategy as a senior voice on a small, high-impact team, challenging assumptions and bringing independent judgment to key decisions. Lead product experiments and rapid iteration cycles, moving from hypothesis to prototype to production with clear success criteria. 5+ years of product management experience, with a meaningful portion in developer tools, API platforms, or search and retrieval infrastructure. Track record of shipping products in fast-moving markets, working closely with engineering and design from concept through launch and iteration. Strong understanding of LLMs, AI agents, and how search and retrieval systems fit into agentic workflows. Hands-on technical background is a strong plus. Degree in computer science, engineering, or a related field, with the ability to engage deeply with technical architecture and tradeoffs. Comfortable operating in ambiguity: you can context-switch between strategic thinking and tactical execution without losing the thread. Proven ability to influence cross-functional stakeholders and drive alignment without formal authority. Excellent written and verbal communication: you can explain technical concepts clearly to both engineers and business stakeholders. Experience in search, information retrieval, NLP, or adjacent domains. Background in API-first or developer-platform businesses with both PLG and enterprise motions. Leadership experience in a high-growth technology company, especially post-acquisition or startup-within-a-larger-org environments. People management or mentoring experience (building the skills of other PMs). 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