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11 часов назад

Senior Director, Product Management (Data & AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
director
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 Director, Product Management (Data & AI): Leading the strategy, architecture, roadmap, and execution of a unified Data & AI platform for analytics, automation, AI-powered workflows, APIs, and ecosystem integration with an accent on scalable platform models, global data products, and measurable commercial outcomes. Focus on building LLM, RAG, and agentic AI capabilities, standardizing product and engineering operations, and scaling distributed Product Management and Engineering organizations.

Location: Cleveland, Ohio Office

Company

hirify.global develops real estate software and PropTech solutions that support property businesses and communities.

What you will do

  • Define and execute the Data & AI platform strategy, roadmap, architecture, and operating model.
  • Lead development of data ingestion, ETL/ELT pipelines, real-time streaming, APIs, integrations, governance, metadata, analytics, and reusable data products.
  • Embed AI use cases into customer workflows and scale LLM, RAG, agent orchestration, model lifecycle, and AI platform capabilities.
  • Own global inventory, packaging, distribution, and reliable delivery of standardized data products across regions and customer segments.
  • Drive product growth, adoption, pricing, packaging, monetization, revenue, and margin performance in partnership with Sales, Marketing, and Customer Success.
  • Build and lead a globally distributed organization of Product Managers and Engineering leaders across North America, EMEA, and APAC.

Requirements

  • 10+ years of Product Management and/or Engineering leadership experience, including management of Product Managers and technical teams.
  • Experience owning multi-product SaaS or platform portfolios and delivering complex, scalable SaaS products.
  • Experience building data and analytics platforms, including data lakes, warehouses, semantic models, pipelines, and reporting.
  • Practical experience with AI/ML, LLM-based capabilities, RAG systems, agentic AI, data governance, APIs, integrations, and platform extensibility.
  • Strong understanding of SaaS platforms, microservices, APIs, cloud platforms such as Azure, AWS, or GCP, distributed systems, data pipelines, warehouses, and CI/CD.
  • Bachelor’s degree required; a Master’s degree in Computer Science, Engineering, Data Science, or a related field is preferred.

Nice to have

  • Experience with Microsoft Fabric, Snowflake, or Databricks.
  • Master’s degree in Computer Science, Engineering, Data Science, or a related field.

Culture & Benefits

  • People-first workplace focused on belonging, inclusion, diversity, equity, and employee resource groups.
  • Global collaboration across North America, EMEA, and APAC.
  • Environment focused on measurable impact, continuous improvement, and developing strong teams.

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