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2 дня назад

Director Product Management Enterprise AI Platforms & Tools

183 100 - 305 200$
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
Director Product Management Enterprise AI Platforms & Tools (AI/ML): Set strategy and roadmaps for enterprise AI platforms and tools, including internal AI assistants, secure data-connected applications, and agentic solutions, with an accent on platform capabilities, adoption, and responsible AI. Focus on designing evaluation frameworks, defining data and model-serving requirements, guiding cloud-based ML pipelines, and translating AI product requirements into production-ready deliverables.

Location: Onsite at one of the Tri-State area campuses: Tarrytown, NY; Sleepy Hollow, NY; Armonk, NY; or Warren, NJ

Salary: $183,100–$305,200 annually

Company

hirify.global is a biotechnology company that invents, develops, and commercializes medicines for serious diseases.

What you will do

  • Set the release strategy and roadmap for enterprise AI platforms and tools in alignment with the digital roadmap.
  • Build business cases for new AI/ML capabilities, datasets, platforms, and tools.
  • Lead technical product development for large-scale AI platforms, models, and supporting tooling.
  • Define requirements for data access, model serving, search and ranking, automation pipelines, and self-service tools.
  • Guide the use of AWS, Azure, and GCP for automated ML and analytics pipelines.
  • Drive evaluation, piloting, deployment, adoption, and continuous improvement of AI products.

Requirements

  • Bachelor’s degree in a related field; a master’s degree, MBA, or advanced degree is preferred.
  • 12+ years of progressive technical product management experience.
  • Strong knowledge of LLMs, foundation models, generative AI, their capabilities, limitations, and evaluation.
  • Experience or familiarity with agentic AI, MCP, A2A protocols, RAG, vector databases, embeddings, prompt and context engineering, fine-tuning, and model customization.
  • Understanding of AI evaluation, observability, responsible AI, security, governance, MLOps, LLMOps, and orchestration frameworks.
  • Ability to work onsite at one of the listed New York or New Jersey campuses.

Culture & Benefits

  • Work with the Enterprise Data & AI organization and AI Center of Excellence on enterprise-wide AI transformation.
  • Collaborate with the Chief AI Officer, AI innovation, platform engineering, delivery management, and business IT partners.
  • Benefits may include bonuses, equity awards, retirement benefits, 401(k) matching, health and wellness programs, insurance, paid time off, and family support.
  • Inclusive workplace with reasonable accommodations available during recruitment where required.

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