Product Manager, AI Finance Transformation
Apple
1 day ago
On-site
Cupertino, California, United States
Mobile Product Manager
The future of enterprise Finance isn"t just automated, it"s intelligent. At Apple, we don"t bolt AI onto\\nexisting workflows. We reimagine them from the ground up.\\nThe Finance Transformation team is building a new generation of AI native Finance platforms where\\nintelligent agents surface insights in real time, documents process themselves, and financial decisions\\nare powered by models that are accurate, auditable, and trusted at Apple scale.\\nWe"re looking for a visionary Product Manager who sees AI not as a feature, but as a new operating\\nmodel. Someone who can bridge the depth of Finance with the ambition of cutting edge machine\\nintelligence, and ship products that set the standard for what enterprise AI can be.\\nWhy this Role is different. Most AI PM roles ask you to add intelligence to existing products. This role\\nasks you to build the intelligence layer itself. You"ll define how AI agents operate within Apple"s Finance\\necosystem and how they access live financial data, reason over complex policy, generate audit ready\\noutputs, and earn the trust of a world class Finance organization. This is foundational platform work with\\ncompany wide impact.
Own Product Discovery \u0026 Strategy (Defining the “What”): Partner with Finance leaders to uncover deep\\nbusiness pain points, not just surface requests. Conduct user research: interviews, workflow\\nobservation, and usage analytics. Size and prioritize opportunities by business impact, user value, and\\nstrategic fit. Build and maintain a living AI roadmap that balances near term wins with long term vision.\\nDrive Product Definition \u0026 Delivery (Building the “Right Thing”): Translate business needs into precise\\nuser stories, acceptance criteria, and success metrics. Define high value AI use cases such as\\nautomated financial analysis, intelligent document processing and conversational policy assistance.\\nArticulate system level requirements for AI agents (e.g., real time data access, audit trails, explainability).\\nDrive sprint planning, scope management, and release strategy with Engineering.\\nEnable Cross Functional Orchestration (Coordinating the impact): Operate at the center of the product\\nbusiness engineering triad, keeping all three aligned. Challenge stakeholder requests to ensure the right\\nproblem is being solved first. Advocate for user needs while articulating clear trade offs on scope,\\ntimeline, and quality. Partner with Design \u0026 Data Science on UX quality and AI model requirements.\\nEstablish Product Excellence \u0026 Ethical AI (Measuring \u0026 Iterating): Define success metrics spanning\\nadoption, satisfaction, business outcomes, and model performance. Build continuous feedback loops\\nthat turn user signal into product improvements. Uphold Apple"s standards for privacy, security, and\\naccessibility across all Finance products. Lead responsible AI practices: accuracy validation, bias\\ndetection, and transparent user communication.
5+ years of Product Management experience within Enterprise, FinTech, SaaS, or AI focused\\norganizations.\\nBS/BA degree in Computer Science, Business, Finance, or a related field.
AI \u0026 Emerging Technology: Hands on experience with Generative AI, AI agents, or intelligent\\nautomation. You’re excited about fundamentally transforming workflows, not just adding a chatbot\\nlayer.\\nBusiness to Technical Translation: Demonstrated ability to bridge business stakeholders and\\nengineering teams. Converting ambiguous problems into clear product requirements and feature\\nspecifications.\\nProduct Thinking: Experience going beyond requirements gathering to defining user value and\\noutcomes. You understand the difference between delivering a project and delivering a product.\\nStakeholder Management: Proven ability to influence without authority, building alignment across\\nFinance, Engineering, Design, and Data Science.\\nData Driven Decision Making: Comfortable using metrics, user feedback, and business data to drive\\nprioritization and measure product success.\\nDomain Experience: Background in Finance Transformation, ERP systems, internal tooling, or FinTech\\nis highly desirable.\\nAdvanced Degree: MBA or technical graduate degree is a plus.
Own Product Discovery \u0026 Strategy (Defining the “What”): Partner with Finance leaders to uncover deep\\nbusiness pain points, not just surface requests. Conduct user research: interviews, workflow\\nobservation, and usage analytics. Size and prioritize opportunities by business impact, user value, and\\nstrategic fit. Build and maintain a living AI roadmap that balances near term wins with long term vision.\\nDrive Product Definition \u0026 Delivery (Building the “Right Thing”): Translate business needs into precise\\nuser stories, acceptance criteria, and success metrics. Define high value AI use cases such as\\nautomated financial analysis, intelligent document processing and conversational policy assistance.\\nArticulate system level requirements for AI agents (e.g., real time data access, audit trails, explainability).\\nDrive sprint planning, scope management, and release strategy with Engineering.\\nEnable Cross Functional Orchestration (Coordinating the impact): Operate at the center of the product\\nbusiness engineering triad, keeping all three aligned. Challenge stakeholder requests to ensure the right\\nproblem is being solved first. Advocate for user needs while articulating clear trade offs on scope,\\ntimeline, and quality. Partner with Design \u0026 Data Science on UX quality and AI model requirements.\\nEstablish Product Excellence \u0026 Ethical AI (Measuring \u0026 Iterating): Define success metrics spanning\\nadoption, satisfaction, business outcomes, and model performance. Build continuous feedback loops\\nthat turn user signal into product improvements. Uphold Apple"s standards for privacy, security, and\\naccessibility across all Finance products. Lead responsible AI practices: accuracy validation, bias\\ndetection, and transparent user communication.
5+ years of Product Management experience within Enterprise, FinTech, SaaS, or AI focused\\norganizations.\\nBS/BA degree in Computer Science, Business, Finance, or a related field.
AI \u0026 Emerging Technology: Hands on experience with Generative AI, AI agents, or intelligent\\nautomation. You’re excited about fundamentally transforming workflows, not just adding a chatbot\\nlayer.\\nBusiness to Technical Translation: Demonstrated ability to bridge business stakeholders and\\nengineering teams. Converting ambiguous problems into clear product requirements and feature\\nspecifications.\\nProduct Thinking: Experience going beyond requirements gathering to defining user value and\\noutcomes. You understand the difference between delivering a project and delivering a product.\\nStakeholder Management: Proven ability to influence without authority, building alignment across\\nFinance, Engineering, Design, and Data Science.\\nData Driven Decision Making: Comfortable using metrics, user feedback, and business data to drive\\nprioritization and measure product success.\\nDomain Experience: Background in Finance Transformation, ERP systems, internal tooling, or FinTech\\nis highly desirable.\\nAdvanced Degree: MBA or technical graduate degree is a plus.