Morgan Stanley
Head of Product - AI Development Platform - ED
$195K–$275K
New York, New York · On-site · Director · Full-time · Posted Oct 20, 2026
- Experience
- 15+ years in software development, software product management, platform management, or related technology roles; 8+ years in product leadership, including leading Product Managers and/or Product Owners in a large enterprise environment.
- Education
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent practical experience.
About the job
Leads product strategy, delivery, and enterprise adoption for Morgan Stanley’s AI Development Platform and related AI products, while building and managing the product organization.
What you'll do
- Set the platform vision, roadmap, goals, success metrics, and adoption strategy; prioritize needs with business and senior stakeholders.
- Lead and develop Product Owners and Product Managers, establishing product practices, governance, and operating models.
- Manage platform priorities and partner with engineering, security, risk, architecture, and governance teams to deliver enterprise-ready AI capabilities.
What they ask for
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent practical experience.
- 15+ years of experience in software development, software product management, platform management, or related technology roles.
- 8+ years of product leadership, including leading Product Managers and/or Product Owners in a large enterprise environment.
- Deep understanding of AI/ML and Generative AI, plus knowledge of AI governance and cloud ecosystems across Azure, AWS, and GCP.
Nice to have
- Experience building or operating enterprise AI, developer, or cloud-native platforms at scale.
- Experience leading AI transformation and enterprise-wide adoption of emerging technologies.
Pay
$195,000 and $275,000 USD base pay (posting states per [hour/year])
Tools
Azure, AWS, GCP, Python, RAG
AI focus
Leads an enterprise AI development platform and AI products, including Generative AI and Agentic AI capabilities; drives responsible AI development, model selection and evaluation, governance, and enterprise adoption.
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