# Enterprise AI - Technical Product Owner - Vice President at Morgan Stanley

Morgan Stanley is hiring an Enterprise AI - Technical Product Owner - Vice President in New York, United States. It pays $155k-$215k a year and Level rates it Works on AI ●●●○; you can [apply on Morgan Stanley](https://jobsbylevel.com/go/83d9161f-99df-44c7-aa2c-34557b849c56?utm_medium=ai-agent).

AI Level 3, AI centrality 76 out of 100. New York, New York, United States of America.

## Details

- Company: [Morgan Stanley](https://jobsbylevel.com/companies/morgan-stanley)
- AI level: AI Level 3 (score 76 out of 100)
- Location: New York, New York, United States of America
- Salary: $155k-$215k
- Posted: November 13, 2026
- Apply: https://jobsbylevel.com/go/83d9161f-99df-44c7-aa2c-34557b849c56?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=enterprise-ai-technical-product-owner-vice-president-at-morgan-stanley-93a481

## Prepare for this job

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## Description

Role overview The Enterprise AI organization is seeking a Technical Product Owner to shape and deliver firmwide infrastructure platform products for application developers building agentic AI applications. Application development and engineering teams are the primary customers, and the Product Owner will own the vision, strategy, roadmap, adoption, and evolution of a defined product area. This role requires strong technical depth and credibility with software engineers and architects. The Product Owner will work closely with engineering leads, architects, application developers, control partners, and other technology stakeholders to understand developer needs, build consensus on technical direction and priorities, and translate that direction into an executable roadmap. The individual must be comfortable engaging in detailed technical discussions, understanding architectural choices and trade-offs, and communicating complex product and technical concepts effectively across engineering teams, senior technology leaders, control partners, and external technology partners. Product areas Agentic Development Framework: Developer frameworks, tooling, and reusable capabilities for building and integrating agentic AI applications in alignment with firm standards and patterns, including the agent harness and Harness Studio for developing, configuring, testing, and working with agents. Agentic Control Plane: Platform capabilities for governing and operating agentic AI applications at scale, including the MCP gateway, agent and tool registry, inventory, observability, and lifecycle management. Primary responsibilities Own the product vision, strategy, and roadmap for either the Agentic Development Framework or Agentic Control Plane. Develop a clear product direction by synthesizing the needs of application developers with input from engineering leads, architects, control partners, platform teams, and other technology stakeholders. Drive technical and product consensus across stakeholders with differing perspectives, turning complex technical choices and enterprise requirements into clear priorities and decisions. Represent the needs of developers building agentic AI applications, identify friction across the development lifecycle, and shape APIs, frameworks, tooling, integration patterns, documentation, and onboarding experiences that enable developers to build and operate applications effectively. Translate product vision into a prioritized roadmap and backlog, balancing strategic platform capabilities, developer demand, technical enablers, defects, technical debt, operational needs, and dependencies. Partner closely with engineering and architecture to assess technical feasibility and make informed product decisions across architecture, APIs and interfaces, interoperability, security, scalability, reliability, performance, developer experience, operational complexity, and cost. Shape major design, build-versus-buy, and open-source-versus-vendor decisions in partnership with engineering and architecture. Drive common, reusable infrastructure capabilities and patterns rather than point solutions, enabling application teams to adopt and scale agentic AI effectively Communicate product vision, value proposition, roadmap, priorities, technical decisions, and progress clearly to application developers, engineering and architecture teams, senior technology leaders, control partners, and external technology partners. Define and monitor meaningful product outcomes, including developer adoption, developer experience, platform effectiveness, reliability, operational performance, and risk reduction. Monitor developments in the AI, agentic, and developer-platform technology ecosystem and translate relevant changes into product implications, opportunities, and roadmap adjustments. Required skills and experience Experience owning a technical platform, developer product, developer tooling, or infrastructure capability where the primary users are

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Source: https://jobsbylevel.com/jobs/enterprise-ai-technical-product-owner-vice-president-at-morgan-stanley-93a481

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