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6 дней назад

Senior Product Manager, Content Metadata and Vectorization (Search and AI)

104 900 - 174 700$
Формат работы
remote (только United_states, united_kingdom)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK, 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

Senior Product Manager (Search and AI): Defining and executing the content metadata and vectorization strategy for search and AI-driven experiences in clinical solutions with an accent on semantic representation, metadata tagging, and scalable pipelines. Focus on ensuring discoverability, reliability, and usability of clinical content in high-trust clinical workflows.

Location: Remote in the United States (Pennsylvania) or London, UK.

Salary: $104,900 – $174,700 USD (U.S. National Base Pay Range).

Company

hirify.global is a global leader in information, analytics, and decision support solutions for science, health, and technology professionals.

What you will do

  • Define product vision and strategy for content metadata and vectorization across ClinicalKey and ClinicalKey AI.
  • Own product decisions related to semantic content representation, including embedding approaches and success metrics for vector-based retrieval.
  • Develop the metadata and content tagging roadmap, defining product requirements for clinical concept tagging and content attributes.
  • Define product requirements for scalable pipelines supporting metadata generation, content embedding, and quality controls.
  • Establish governance frameworks for metadata standards, taxonomy changes, and model updates.

Requirements

  • Five or more years of experience as a Product Manager or Senior Product Manager.
  • Proven experience owning platform, data, search, or AI-adjacent products.
  • Strong ability to partner effectively with Search, AI/ML engineering teams, and content organizations.
  • Demonstrated ability to translate complex technical concepts into clear product strategy, requirements, and success metrics.
  • Work authorization for the United States or United Kingdom is required.

Nice to have

  • Experience working on search, information retrieval, or AI-powered products.
  • Familiarity with metadata systems, taxonomies, embeddings, vector search, or retrieval-augmented generation concepts.
  • Experience working with clinical, biomedical, or scientific content domains.
  • Background in products that require high levels of precision, trust, and explainability.

Culture & Benefits

  • Operate in a global, diverse, and collaborative environment with expertise in content, technology, data science, and product innovation.
  • Committed to advancing inclusion, fostering curiosity, and building products that make a meaningful impact on healthcare.
  • Value thoughtful problem solving, cross-functional collaboration, and a strong sense of ownership.
  • Offer country-specific benefits focused on well-being and happiness.
  • Committed to providing a fair and accessible hiring process as an equal opportunity employer.

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