Назад
6 дней назад

Senior Product Manager (Search Infrastructure)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/US/Netherlands +1 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Senior Product Manager (Search Infrastructure): Owning search infrastructure for an AI-agent web access layer, including index coverage, freshness, retrieval quality, latency, and cost with an accent on high-scale search and ranking systems. Focus on setting quality and release bars, designing evaluation-driven tradeoffs, and shaping retrieval infrastructure for agentic workflows.

Location: Amsterdam, Netherlands. Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility.

Company

Nebius builds a full-stack AI cloud platform for data, model training, inference, and production deployment, with Tavily providing web access infrastructure for AI agents.

What you will do

  • Set quality standards and release criteria for search products in partnership with the evaluation team.
  • Own depth, latency, and cost tradeoffs across search products and make decisions explicit and defensible.
  • Shape index coverage, freshness, and quality requirements, then turn the product direction into a roadmap.
  • Develop a perspective on search infrastructure for AI agents and retrieval-based workflows.
  • Compare product performance with alternatives and drive work to close important gaps.
  • Work with customer success, customers, data teams, and vertical product owners to translate real-world feedback into quality priorities.

Requirements

  • 5+ years of product management experience, including substantial work with high-scale search or ranking systems.
  • Previous experience as an engineer, ML engineer, or researcher on a production web search, feed ranking, or advertising system is required.
  • End-to-end experience shipping search or ranking changes and evaluating their impact.
  • Strong ability to design experiments, interpret evaluation results, and distinguish meaningful quality improvements from noise.
  • Strong understanding of LLMs, AI agents, retrieval, and agentic workflows.
  • Ability to make product decisions, work through ambiguity, and influence cross-functional stakeholders without formal authority.

Nice to have

  • Experience with information retrieval, NLP, or applied machine learning.
  • Experience with index tiering, sharding, freshness pipelines, or cost-per-query optimization at scale.
  • Experience with hybrid retrieval, semantic and lexical search, re-ranking, or human evaluation programs.
  • Experience with API-first developer platforms, self-serve and enterprise products, or high-growth technology companies.

Culture & Benefits

  • Competitive compensation and career growth opportunities.
  • Learning opportunities, flexibility, and real ownership.
  • Collaborative, innovative, and international environment.
  • Opportunity to work on impactful AI projects with experienced engineering and research teams.
  • Fast-moving environment focused on bold thinking, continuous growth, and meaningful impact.

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