Sr Technical Product Manager, AI & Data Platforms (AiDP)

Sr Technical Product Manager, AI & Data Platforms (AiDP)

Sunnyvale, California, United States Corporate Functions

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 there's no telling what you could accomplish. The AI and Data Platform team is building GenAI capabilities which include knowledge discovery, conversational capabilities, workflow automation, developer productivity, and more. Our mission is to increase the productivity and efficiency across Apple’s Business Units. As a Sr Product Manager, you will partner with software engineers, program management, data scientists, solution architects, and various business units to build and manage a portfolio of new products and features across the entire GenAI space. The ideal candidate is someone with a proven product management track record, sound technical knowledge, and can think creatively to create new and innovative products categories. In addition, the candidate is expected to have experience managing a large scale portfolio of products and can navigate across org boundaries to influence and lead decision making.

Description

Define, build, launch, and land the next-generation of GenAI inferences for Apple Enterprise Teams. Own the product strategy, roadmap, product experience, and performance. Research best in class industry approaches to help deliver a world class platform and experience. Discuss complex industry-specific business concepts with executives, managers, and technologists Work with Apple Enterprise Teams to articulate customer user journeys, use-cases, and their workflows for Data and GenAI inferences, their pain points and how GenAI can address their constraints. Understand the technical problems and dependencies, partner with cross-functional teams to ensure effective product launches and deliver a product experience. Partner closely with Engineering to bring the Data and GenAI products to market, land it with customers, define and measure success, and bring back learnings to the feature teams to set the product strategy and priorities. Track product performance via KPIs to understand usage, accuracy, and performanceWe are seeking an experienced Sr Technical Product Manager to join our AI and Data Platform organization. In this role, you will design and develop products that power the entire data-to-insight journey, enabling business users to discover, analyze, and derive actionable insights from enterprise data. You will work at the intersection of cutting-edge AI technologies and enterprise data platforms, building solutions that democratize data access and drive data-driven decision-making across the organization.

Responsibilities

• Define and execute product strategy for AI-powered data platforms that support the complete data-to-insight lifecycle
• Develop product roadmaps aligned with business objectives, incorporating AI/ML capabilities, self-service analytics, and enterprise data management
• Identify market opportunities and emerging trends in AI, data analytics, and semantic technologies to inform product direction
• Establish clear product vision and success metrics (OKRs/KPIs) that demonstrate business value and user adoption
• Product Development & Delivery
• Lead cross-functional teams including engineering, data science, design, and analytics to deliver high-impact products
• Translate complex technical requirements into clear user stories and product specifications
• Drive end-to-end product lifecycle from discovery and ideation through launch and iteration
• Prioritize features and manage backlogs based on user needs, technical feasibility, and business impact
• Champion agile methodologies and maintain strong product delivery cadence
• Stakeholder Management
• Partner with business users, data consumers, and executive stakeholders to understand pain points and requirements
• Communicate product vision, roadmap updates, and progress to diverse audiences including technical and non-technical stakeholders
• Manage expectations and build consensus across multiple teams and business units
• Gather and synthesize feedback to continuously improve product experience
• Technical Leadership
• Work closely with engineering teams on architectural decisions, technical trade-offs, and platform scalability
• Understand data platform technologies including data warehouses (Snowflake, BigQuery), semantic layers, data catalogs, and BI tools
• Drive AI/ML integration including generative AI, conversational analytics, and intelligent automation capabilities
• Ensure products meet enterprise standards for security, governance, data quality, and compliance
• User Experience & Adoption
• Champion user-centric design principles to create intuitive, self-service experiences for business users
• Conduct user research, usability testing, and data analysis to validate product hypotheses
• Develop onboarding