Product Manager, AI Finance Transformation
Apple · Cupertino ·
- Category
- Product
- Experience
- 5+ years
- Company size
- 1000+
Apple · Cupertino ·
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 spanning adoption, satisfaction, business outcomes, and model performance. Build continuous feedback loops that turn user signal into product improvements. Uphold Apple's standards for privacy, security, and accessibility across all Finance products. Lead responsible AI practices: accuracy validation, bias detection, and transparent user communication.