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Senior Product Manager (Semantic Platform)

107 200 - 130 000$
Формат работы
hybrid
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

Текст:
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TL;DR
Senior Product Manager (Semantic Platform) (AI/data platform): Evolving an internal semantic platform from MVP to a scalable operational system for capturing, cataloging, and evaluating enterprise semantic context with an accent on platform strategy, usability, adoption, and quality frameworks. Focus on translating cross-functional use cases into reusable capabilities, supporting YAML files, MCP tools, and agent-based assets, and aligning architecture, engineering, data stewardship, and product stakeholders.

Location: Irvine, CA; hybrid work arrangement

Annual pay range: USD 107,200–130,000

Company

hirify.global provides property intelligence, data, connectivity, and technology for the global property ecosystem.

What you will do

  • Define and execute the strategy and roadmap for an internal semantic platform.
  • Evolve the platform from an early-stage MVP into a usable, scalable operational system.
  • Translate cross-functional use cases into reusable platform capabilities supporting YAML files, MCP tools, and agent-based assets.
  • Develop frameworks and product features for evaluating semantic context quality, completeness, reusability, and fitness for purpose.
  • Establish intake and prioritization processes while balancing competing stakeholder priorities.
  • Monitor adoption, feedback, and usage patterns to refine the roadmap and improve platform effectiveness.

Requirements

  • 7–10+ years of product management experience focused on platform or data products.
  • Bachelor of Science degree or equivalent industry experience; a master’s degree is preferred.
  • Experience building or scaling internal platforms, developer tools, or data systems.
  • Strong collaboration experience with engineering, architecture, data, and other technical teams.
  • Understanding of AI/ML, cloud computing, big data, and semantic layers.
  • Experience defining product strategy, managing roadmaps, analyzing data, conducting user research, and influencing stakeholders in ambiguous environments.

Nice to have

  • Exposure to metadata management, ontologies, or knowledge graphs.
  • Experience with AI/ML or data-driven product ecosystems.
  • Familiarity with data governance, data modeling, or enterprise data platforms.
  • Experience managing large-scale data-driven applications and working with Agile, Waterfall, or Extreme project methodologies.

Culture & Benefits

  • Flexible working model with a hybrid setup.
  • Generous paid time off, 11 paid holidays, and well-being and volunteer time off.
  • Medical plan options with mental health and wellness support.
  • Up to 16 weeks of fully paid parental leave and a baby stipend.
  • 401(k) with company match, tuition assistance, and a $400 annual well-being stipend.

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