2 дня назад
Director Product Management Enterprise AI Platforms & Tools
183 100 - 305 200$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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