Manager, Product Management AI & Data Platforms

Imagine what you could do here. At Apple great ideas have a way of becoming great products services and customer experiences very quickly. Bring passion and dedication to your job and theres no telling what you could AI u0026 Data Platform (AiDP) team is building the foundational data products and GenAI capabilities that power knowledge discovery conversational experiences workflow automation developer productivity and more across Apples enterprise. Our mission is to increase productivity and efficiency across Apples Business Units and data is the engine that makes it possible.

As a Manager of Product Management you will lead a team of product managers responsible for the data products that fuel our GenAI platform: the pipelines integrations knowledge graphs and data services that connect Apples enterprise data landscape to generative AI. You will also drive the strategy for GenAI-enabled data capabilities using AI to make data itself more discoverable trustworthy and actionable. Think of this as building the intelligent data foundation that turns enterprise knowledge into GenAI-ready assets at and your team will partner with software engineers program managers data scientists solution architects and business units across Apple to build and manage a portfolio of data and AI products. The ideal candidate has a proven track record in product management and people leadership strong technical fluency in data platforms and AI/ML and the ability to think creatively about new product categories. You should be experienced in building mentoring and scaling high-performing PM teams comfortable managing a large-scale portfolio and skilled at navigating across organizational boundaries to influence strategy and drive decisions.

Build lead and develop a team of product managers setting a high bar for craft coaching PMs through ambiguous problem spaces and creating an environment where the team does the best work of their build launch and land the next generation of enterprise data products that power Apples GenAI platform including data ingestion transformation knowledge graphs embeddings pipelines and retrieval the product strategy and roadmap for the data-to-GenAI stack: how enterprise data flows into AI models how its curated for quality and relevance and how GenAI capabilities feed back into the data the vision for GenAI-enabled data products using generative AI to improve data discovery cataloging lineage governance and self-service analytics across the team operating rhythms prioritization frameworks and portfolio-level planning processes that keep a multi-product portfolio aligned and moving with with Apple Enterprise Teams to map customer journeys use cases and workflows identifying where data gaps or quality issues constrain GenAI outcomes and building products that close those closely with Engineering leadership to bring data and AI products to market land them with internal customers define and measure success and feed learnings back into strategy and executives managers and technologists on complex topics spanning data architecture AI/ML infrastructure and business retain and grow top PM talent building a diverse team with complementary strengths across technical depth business acumen and design best-in-class industry approaches to modern data platforms (lakehouse architectures unified dataAI stacks semantic layers) to inform a world-class platform and product and team performance via KPIs covering data quality pipeline reliability GenAI accuracy adoption and end-to-end time-to-value.

At least 3 years of technical product management n3 years of experience in software development or engineering.n3 years of experience working cross-functionally with engineering UX/UI sales finance and other with presenting to audiences u003e100 people of various levels (developers to executives) and backgrounds (business technical operations)nManage and prioritize roadmaps using OKR methodology across a large product portfolionExcellent written and verbal communication and presentation skills across all organizational levelsnA creative problem solver with an excellent ability to influence without authority

5 years of technical product managementu2028n2 years of experience in a business function or role (e.g. management consulting investment banking venture capital private equity).n3 years of experience in a role preparing and delivering technical presentations to senior leadership and/or VCsnMasters degree in a technology or business-related field