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Apple

Product Manager, AI Finance Transformation

Cupertino, CA$175,500 – $263,800Posted 26 days ago

Apply on company site View full job

Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

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.

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.

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.

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,500 and $263,800, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

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