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4 дня назад

Principal Product Manager II, AI/Vectors (AI)

199 700 - 315 900$
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Principal Product Manager II, AI/Vectors (AI): Leading the strategy and multi-quarter roadmap for Elastic's embedding, reranking, vector database, and core search capabilities with an accent on vector indexing, hybrid retrieval, and end-to-end retrieval quality. Focus on defining metrics for recall, latency, index size, ingestion throughput, and total cost of ownership while coordinating engineering, cloud, and applied research teams.

Location: United States

Salary: $199,700–$315,900 USD base salary; select locations including Seattle, Los Angeles, the San Francisco Bay Area, and the New York City Metro Area have an alternate range of $239,800–$379,300 USD.

Company

hirify.global provides a cloud-based Search AI Platform for search, security, observability, structured and unstructured data, and AI applications.

What you will do

  • Own the vision, strategy, and multi-quarter roadmap for the vector database and core search use cases across serverless and self-managed deployments.
  • Lead strategy for embedding and reranking models, vector indexing, semantic ingestion, model lifecycle, and end-to-end retrieval quality.
  • Conduct market, competitive, and model research to identify trends, user personas, and product opportunities.
  • Partner with engineering, applied research, cloud, and model teams to validate roadmap assumptions and resolve technical trade-offs.
  • Define and defend metrics including recall, latency, index size, ingestion throughput, and total cost of ownership.
  • Manage operating cadence, priorities, milestones, resource allocation, and communication with stakeholders and executives.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 8+ years of product management experience, including significant work with technical infrastructure, databases, search, or ML/AI platforms.
  • Working knowledge of vector search fundamentals, including embeddings, approximate nearest neighbor indexing, similarity metrics, recall-versus-latency trade-offs, and hybrid retrieval.
  • Working knowledge of generative models, model fine-tuning, model capabilities, and document processing for large corpora.
  • Experience shipping developer-facing or infrastructure-facing products adopted at scale.
  • Ability to collaborate credibly with engineers and research teams on technical decisions.

Nice to have

  • Master's degree in a relevant discipline.

Culture & Benefits

  • Distributed work environment with flexible locations and schedules for many roles.
  • Health coverage for employees and families in many locations.
  • Generous vacation allowance and at least 16 weeks of parental leave.
  • Company-matched 401(k) contributions up to 6% of eligible earnings.
  • Stock program eligibility and donation matching up to $2,000.
  • Up to 40 hours per year for volunteer projects.

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