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Описание вакансии
Текст:
TL;DR
Senior Product Manager, Enterprise (AI): Owns the enterprise roadmap and API platform capabilities for an AI web access product, including identity, quotas, usage controls, audit, policy enforcement, and data residency, with an accent on enterprise adoption and developer workflows. Focus on prioritizing platform investments from customer evidence, shaping API decisions for technical buyers, and turning complex enterprise requirements into shipped product.
Location: United States
Salary: $179,500–$224,300 USD per year
Company
Nebius builds a full-stack AI cloud platform for data and model training through production deployment. Tavily, part of Nebius, provides a web access layer for AI agents used by more than two million developers and Fortune 500 customers.
What you will do
- Own the enterprise product roadmap, prioritizing capabilities for large customers.
- Drive platform capabilities covering organizations and identity, keys and quotas, spend controls, usage observability, audit, policy enforcement, and data residency.
- Define the enterprise API surface and improve developer workflows for platform teams, architects, and developers.
- Work with customer success, sales, and forward-deployed engineering to identify customer needs and validate them directly in enterprise accounts.
- Distinguish account-specific requests from scalable product patterns and represent enterprise evidence in roadmap decisions.
- Equip sales and marketing with positioning, materials, and product knowledge for a technical product.
Requirements
- 6+ years of product management experience, including significant experience with enterprise products in B2B, developer platform, or API businesses.
- Experience building developer-facing or API products and understanding effective API design.
- Experience delivering enterprise platform capabilities such as identity, permissions, quotas, usage controls, audit, or compliance.
- Experience working with large enterprise accounts and converting customer insights into shipped products.
- Credibility with technical buyers, including platform teams, architects, security, and procurement.
- Strong understanding of LLMs, AI agents, and the role of search and retrieval in agentic workflows.
Nice to have
- Background as a forward-deployed engineer, solutions engineer, or solutions architect.
- Experience in search, information retrieval, or NLP.
- Experience with API-first businesses serving both self-serve and enterprise customers.
- Experience building products for regulated industries such as financial services, insurance, or healthcare.
Culture & Benefits
- Competitive compensation and benefits packages.
- Career growth and learning opportunities.
- Flexibility, ownership, and a collaborative working environment.
- Opportunity to work on impactful AI projects with international teams.
- Fast-moving environment focused on bold thinking, growth, and meaningful impact.
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