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5 дней назад

Sr. Director, Product Management, AI Product Strategy (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior/director
Английский
b2
Страна
Canada
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
Sr. Director, Product Management, AI Product Strategy (AI): Defining and executing AI strategy for enterprise content management products, including generative AI and agentic AI portfolios, with an accent on product roadmaps, scalable SaaS solutions, and enterprise data architectures. Focus on architecting multi-agent systems, grounding AI models with knowledge graphs and unstructured data, and aligning measurable product outcomes with C-level strategy.

Location: On-site at hirify.global Headquarters in Waterloo, Ontario, Canada

Company

hirify.global develops information management and enterprise SaaS solutions for large organizations, with a focus on AI-driven digital transformation.

What you will do

  • Define and execute AI strategy across Content Management products.
  • Lead and mentor a global AI product organization while fostering innovation, accountability, and client empathy.
  • Architect and deliver production-grade agentic systems using MCP, A2A protocols, Google ADK, LangChain, LangGraph, and related AI frameworks.
  • Partner with Development, Data Science, and Data Cloud teams to deliver scalable, secure, high-performing AI products.
  • Represent the enterprise AI strategy at industry events, client forums, analyst briefings, and advisory boards.
  • Align product roadmaps with business goals, modern data architectures, knowledge graphs, and unstructured data management.

Requirements

  • 7+ years of experience in data science, AI, and machine learning, including at least 3 years leading enterprise-scale product organizations.
  • Hands-on experience building and optimizing agentic AI systems.
  • Deep expertise in MCP, A2A protocols, Google ADK, LangChain, and LangGraph.
  • Experience with AI/ML, data management, Lakehouse, Data Fabric, knowledge graphs, and modern data architectures.
  • Experience with unstructured data management, AI model grounding, and context engineering to reduce hallucinations.
  • Proven ability to ship enterprise SaaS products, influence C-level stakeholders, and deliver measurable outcomes.

Culture & Benefits

  • Collaborative environment centered on innovation, trust, privacy, and accountability.
  • Opportunity to work with major global organizations on enterprise digital transformation.
  • Benefits package supporting physical, emotional, and financial wellbeing.
  • Vacation entitlement and paid time off, with additional compensation details provided during the hiring process.
  • Commitment to diversity, inclusion, accessibility, and reasonable accommodation.

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