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Director – AI Product Manager – AI Builder

Job in St. Louis, Saint Louis, St. Louis city, Missouri, 63105, USA
Listing for: Information Technology Senior Management Forum
Full Time position
Listed on 2026-09-12
Job specializations:
  • Business
    AI Business & Operations
  • IT/Tech
    AI Business & Operations
Salary/Wage Range or Industry Benchmark: 160000 - 210000 USD Yearly USD 160000.00 210000.00 YEAR
Job Description & How to Apply Below

Position

Schedule:

Full-Time

This job posting is anticipated to remain open for 30 days, from 02-Sep-2026. The posting may close early due to the volume of applicants.

Opportunity Overview

The Director, AI Product Manager – Platform Builder Experiences is responsible for driving the end-to-end development and delivery of AI platform capabilities for No Code, Low Code, and Pro Code AI builders from ideation through launch and ongoing optimization. This role translates business needs into actionable technical requirements, leads product discovery and validation efforts, and defines success metrics to evaluate product impact.

Unlike
-Product Managers within the Digital Product Management organization, this role treats AI itself as the product
—owning firmwide, reusable, and scalable AI platform capabilities that power AI builder experiences rather than discrete applications.

This role centers on strategy, discovery, and value framing, working closely with each Business and

Functional area

to shape AI direction, identify high-value opportunities, and expand the art of the possible for how AI can transform their domain. Digital Product Managers will often serve as customers of the AI Product Manager, and leverage AI Products as part of their offerings. Digital Product Managers will remain accountable for the execution, delivery, and lifecycle management of AI capabilities within products and portfolios.

The Director, AI Product Manager partners closely with Digital’s Product Management teams to ensure enterprise AI capabilities can be easily integrated, adopted, and leveraged across the firm.

This role ensures the adoption of responsible AI practices and compliance with regulatory expectations, while clearly communicating progress, risks, and outcomes to stakeholders. Working in collaboration with colleagues in EJ Labs, Engineering, Data, Product Management, Experience, and the respective Business and

Functional area

s , the Director, AI Product Manager – Platform Builder Experiences ensures that AI platform capabilities deliver measurable value, maintain performance through ongoing monitoring, and support firmwide strategic objectives through shared AI capability development. The role acts as a connector throughout the full product lifecycle—navigating ideation, discovery, delivery, adoption, and iteration.

This position sits within the AI Product Team inside EJ Labs
, focused on building and managing the reusable AI platform and marketplace capabilities that enable teams across the enterprise to discover, govern, scale, and consume AI products through a consistent, standards-based ecosystem, rather than developing one-off or front-end solutions.

What you’ll do:
  • Translate business needs into clear and actionable technical requirements for AI Products – reusable AI capabilities.
  • Lead product discovery, validation, and iterative improvement processes with a focus on how AI platform capabilities will enhance the experience of the AI builder community.
  • Define and track product success metrics specific to AI platform capability’s performance, reusability, adoption, and ongoing monitoring.
  • Conduct research and engage internal customers to inform AI platform capabilities.
  • Ensure responsible AI practices and compliance with regulatory requirements throughout the product lifecycle.
  • Drive the development and delivery of AI platform capabilities, ensuring that capabilities are not one-off builds, but reusable, capability driven products deployed across the organization.
  • Collaborate with colleagues in EJ Labs, Engineering, Data, Product Management, Experience, and the respective Business and

    Functional area

    s to test, deploy, and refine new AI platform capabilities and ensure alignment with enterprise AI standards.
  • Commun…
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