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3 дня назад

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 product strategy, usability, adoption, and semantic quality. Focus on designing reusable platform capabilities, defining evaluation frameworks, aligning architecture and engineering stakeholders, and solving complex data and platform problems in an ambiguous environment.

Location: Irvine, CA; hybrid

Annual pay range: $107,200–$130,000 USD

Company

hirify.global provides property intelligence, data, and technology solutions for the global property industry.

What you will do

  • Define and execute the strategy and roadmap for the Semantic Platform.
  • Evaluate the existing MVP and prioritize improvements to usability, coverage, scalability, and adoption.
  • Translate cross-functional use cases into reusable platform capabilities supporting YAML files, MCP tools, and agent-based assets.
  • Build frameworks and product features for evaluating and scoring semantic context quality, including completeness, reusability, and fitness for purpose.
  • Partner with Architecture, Technology, Engineering, Data Stewardship, Product teams, and subject-matter experts to align platform capabilities and priorities.
  • Monitor adoption, feedback, and usage patterns to refine the roadmap and drive enterprise-wide standardization.

Requirements

  • 7–10+ years of product management experience focused on platform or data products.
  • Bachelor of Science degree or equivalent experience; a master’s degree is preferred.
  • Experience building or scaling internal platforms, developer tools, or data systems.
  • Strong experience collaborating with engineering, architecture, and data teams.
  • Understanding of AI/ML, cloud computing, big data, and semantic layers.
  • Experience defining product strategy, managing roadmaps, influencing stakeholders without direct authority, and working 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 Agile, Waterfall, or Extreme methodologies.

Culture & Benefits

  • Hybrid working model with an inclusive and collaborative work environment.
  • Generous paid time off, 11 paid holidays, and well-being and volunteer time off.
  • Up to 16 weeks of fully paid parental leave and a baby stipend.
  • Medical plan options with mental health and wellness support.
  • 401(k) with company match, a $400 annual well-being stipend, and tuition assistance up to $5,250.

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