обновлено 17 часов назад
Senior Product Manager (Semantic Platform)
107 200 - 130 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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