Sr. Product Manager Finance Transformation, Payments

Weekly Hours: 40

Role Number: 200651682-0836

Summary

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. Central to this vision is payments: the lifeblood of global commerce. We're transforming how Apple's payment flows are orchestrated, reconciled, and optimized.

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 and the complexity of payments infrastructure 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 and Payments ecosystem: how they access live financial data, reason over complex payment policy, reconcile transactions at scale, generate audit-ready outputs, and earn the trust of a world-class Finance organization. This is foundational platform work with company-wide impact.

The role partners closely with internal Payments engineering from a product perspective and requires frequent collaboration with large groups of partners, both internal and potentially externally, including payment processors, banking partners, and regulatory stakeholders.

Description

Own Product Discovery & Strategy (Defining the "What") • Partner with Finance and Payments leaders to uncover deep business pain points, not just surface requests, across payment initiation, settlement, reconciliation and operational payment processes. • Conduct user research: interviews, workflow observation, and usage analytics across Payments Operations teams. • Size and prioritize opportunities by business impact, user value, and strategic fit, including reduction in payment exceptions, settlement latency, and manual invoicing efforts. • Build and maintain a living AI roadmap that balances near-term wins (e.g., intelligent payment matching) with long-term vision (e.g., autonomous payment orchestration).

Drive Product Definition & Delivery (Building the "Right Thing") • Translate business needs into precise user stories, acceptance criteria, and success metrics across both Finance AI and payments product surfaces. • Define high-value AI use cases such as automated financial analysis, conversational policy assistance, real-time payment anomaly detection, and AI-driven reconciliation and exception management. • Articulate system-level requirements for AI agents, including real-time data access to payment rails, audit trails, explainability, and integration with payment processors, banking APIs, and internal ERP systems. • Define and document payment product requirements including support for multiple payment rails (ACH, wire, card, real-time payments), multi-currency settlement, and cross-border compliance. • Drive sprint planning, scope management, and release strategy with Engineering across both AI platform and payments infrastructure work-streams.

Enable Cross-Functional Orchestration (Coordinating the Impact) • Operate at the center of the product-business-engineering triad, keeping Finance, Payments Operations, and Technology teams aligned. • Challenge stakeholder requests to ensure the right problem is being solved first, distinguishing between payments process inefficiencies and true product gaps. • Advocate for user needs while articulating clear trade-offs on scope, timeline, and quality, including regulatory and compliance constraints inherent to payments. • Partner with Design & Data Science on UX quality, AI model requirements, and the design of payment intelligence dashboards and alerting systems.

Establish Product Excellence & Ethical AI (Measuring & Iterating) • Define success metrics spanning adoption, satisfaction, business outcomes, and model performance, including payment straight-through processing rates, reconciliation accuracy, and exception reduction. • Build continuous feedback loops that turn user signal into product improvements across both AI features and payments workflows. • Uphold Apple's standards for privacy, security, and accessibility across all Finance and Payments products. • Lead responsible AI practices: accuracy validation, bias detection, transparent user communication, and audit-ability of AI-assisted payment decisions.

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, including within complex payments environments.

• Payments Domain Expertise: Experience with payment products, platforms, or infrastructure, including knowledge of payment rails (ACH, wire, card networks, RTP/FedNow), settlement cycles, reconciliation processes, and payment compliance frameworks.

• Business-to-Technical Translation: Demonstrated ability to bridge business stakeholders and engineering teams, converting ambiguous problems into clear product requirements and feature specifications across both AI and payments systems.

• 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, and apply that discipline equally to AI features and payments flows.

• Stakeholder Management: Proven ability to influence without authority, building alignment across Finance, Engineering, Design, Data Science, and external payment partners.

• Data-Driven Decision Making: Comfortable using metrics, user feedback, and business data, including payment transaction data, to drive prioritization and measure product success.

• Domain Experience: Background in Finance Transformation, ERP systems, payments technology, or FinTech is highly desirable.

• Advanced Degree: MBA or technical graduate degree is a plus.