Product Manager, AI Finance Transformation

The future of enterprise Finance isn't just automated, it's intelligent. At Apple, we don't bolt AI onto
existing workflows. We reimagine them from the ground up.
The Finance Transformation team is building a new generation of AI native Finance platforms where
intelligent agents surface insights in real time, documents process themselves, and financial decisions
are powered by models that are accurate, auditable, and trusted at Apple scale.
We're looking for a visionary Product Manager who sees AI not as a feature, but as a new operating
model. Someone who can bridge the depth of Finance with the ambition of cutting edge machine
intelligence, and ship products that set the standard for what enterprise AI can be.
Why this Role is different. Most AI PM roles ask you to add intelligence to existing products. This role
asks you to build the intelligence layer itself. You'll define how AI agents operate within Apple's Finance
ecosystem and how they access live financial data, reason over complex policy, generate audit ready
outputs, and earn the trust of a world class Finance organization. This is foundational platform work with
company wide impact.

Own Product Discovery & Strategy (Defining the “What”): Partner with Finance leaders to uncover deep business pain points, not just surface requests. Conduct user research: interviews, workflow observation, and usage analytics. Size and prioritize opportunities by business impact, user value, and strategic fit. Build and maintain a living AI roadmap that balances near term wins with long term vision.

Drive Product Definition & Delivery (Building the “Right Thing”): Translate business needs into precise user stories, acceptance criteria, and success metrics. Define high value AI use cases such as automated financial analysis, intelligent document processing and conversational policy assistance.
Articulate system level requirements for AI agents (e.g., real time data access, audit trails, explainability).
Drive sprint planning, scope management, and release strategy with Engineering.
Enable Cross Functional Orchestration (Coordinating the impact): Operate at the center of the product
business engineering triad, keeping all three aligned. Challenge stakeholder requests to ensure the right
problem is being solved first. Advocate for user needs while articulating clear trade offs on scope,
timeline, and quality. Partner with Design & Data Science on UX quality and AI model requirements.
Establish Product Excellence & Ethical AI (Measuring & Iterating): Define success metrics spanningadoption, satisfaction, business outcomes, and model performance. Build continuous feedback loops