Sr Technical Product Manager, AI & Data Platforms (AiDP)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.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 performance We 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.ResponsibilitiesProduct Strategy & VisionDefine and execute product strategy for AI-powered data platforms that support the complete data-to-insight lifecycleDevelop product roadmaps aligned with business objectives, incorporating AI/ML capabilities, self-service analytics, and enterprise data managementIdentify market opportunities and emerging trends in AI, data analytics, and semantic technologies to inform product directionEstablish clear product vision and success metrics (OKRs/KPIs) that demonstrate business value and user adoptionProduct Development & DeliveryLead cross-functional teams including engineering, data science, design, and analytics to deliver high-impact productsTranslate complex technical requirements into clear user stories and product specificationsDrive end-to-end product lifecycle from discovery and ideation through launch and iterationPrioritize features and manage backlogs based on user needs, technical feasibility, and business impactChampion agile methodologies and maintain strong product delivery cadenceStakeholder ManagementPartner with business users, data consumers, and executive stakeholders to understand pain points and requirementsCommunicate product vision, roadmap updates, and progress to diverse audiences including technical and non-technical stakeholdersManage expectations and build consensus across multiple teams and business unitsGather and synthesize feedback to continuously improve product experienceTechnical LeadershipWork closely with engineering teams on architectural decisions, technical trade-offs, and platform scalabilityUnderstand data platform technologies including data warehouses (Snowflake, BigQuery), semantic layers, data catalogs, and BI toolsDrive AI/ML integration including generative AI, conversational analytics, and intelligent automation capabilitiesEnsure products meet enterprise standards for security, governance, data quality, and complianceUser Experience & AdoptionChampion user-centric design principles to create intuitive, self-service experiences for business usersConduct user research, usability testing, and data analysis to validate product hypothesesDevelop onboarding strategies, documentation, and training materials to drive product adoptionMonitor usage analytics and user feedback to identify opportunities for improvementMinimum Qualifications3+ years of Product Management experience3+ years in data platforms, analytics, or AI/ML products3+ years of experience working cross-functionally with engineering, UX/UI, operations, service, sales finance, or other stakeholdersStrong technical background with ability to engage deeply with engineering teams on architecture and implementationDeep understanding of modern data stack technologies (data warehouses, data lakes, ETL/ELT, BI tools, semantic layers)Bachelors degree in Computer Science or similar technical degreePreferred QualificationsExperienced with generative AI applications and LLM-powered productsWorking knowledge of AI/ML products, particularly in areas of Natural Language Processing (NLP), conversational interfaces, or intelligent automationExcellent stakeholder management skills with ability to influence without authorityStrong analytical and problem-solving abilities with data-driven decision-making approachProven track record of shipping successful data or analytics products that delivered measurable business outcomesHands-on experience with platforms like Snowflake, Databricks, Looker, Tableau, or similar enterprise data toolsKnowledge of semantic modeling, metadata management, and data governance frameworksBackground in enterprise software or B2B SaaS product managementUnderstanding of data quality, master data management, and data observability conceptsFamiliarity with modern development practices including APIs, micro-services, and cloud-native architecturesOutstanding communication skills with ability to articulate complex technical concepts to diverse audiencesApple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant At Apple, we believe accessibility is a fundamental human right.
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