Product Manager, AI Finance Transformation at Apple

Cupertino, California, United States -

Full Time

Start Date

Immediate

Expiry Date

28 Aug, 26

Salary

0.0

Posted On

30 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Management, Generative AI, AI Agents, Financial Analysis, Product Strategy, User Research, Stakeholder Management, Roadmap Development, Agile Methodology, Data-Driven Decision Making, Enterprise Software, FinTech, UX Quality, Ethical AI, Requirement Specification, Cross-Functional Leadership

Industry

Computers and Electronics Manufacturing

Description

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. DESCRIPTION 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. MINIMUM QUALIFICATIONS 5+ years of Product Management experience within Enterprise, FinTech, SaaS, or AI focused organizations. BS/BA degree in Computer Science, Business, Finance, or a related field. PREFERRED QUALIFICATIONS AI & Emerging Technology: Hands on experience with Generative AI, AI agents, or intelligent automation. You’re excited about fundamentally transforming workflows, not just adding a chatbot layer. Business to Technical Translation: Demonstrated ability to bridge business stakeholders and engineering teams. Converting ambiguous problems into clear product requirements and feature specifications. Product Thinking: Experience going beyond requirements gathering to defining user value and outcomes. You understand the diﬀerence between delivering a project and delivering a product. Stakeholder Management: Proven ability to influence without authority, building alignment across Finance, Engineering, Design, and Data Science. Data Driven Decision Making: Comfortable using metrics, user feedback, and business data to drive prioritization and measure product success. Domain Experience: Background in Finance Transformation, ERP systems, internal tooling, or FinTech is highly desirable. Advanced Degree: MBA or technical graduate degree is a plus.

Responsibilities

Lead the strategy and delivery of AI-native Finance platforms, focusing on the creation of an intelligence layer and AI agents. Coordinate between Finance, Engineering, and Design to transform financial workflows and ensure ethical AI implementation.