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 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.
Responsibilities
Product Strategy & Vision 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 strategies, documentation, and training materials to drive product adoption Monitor usage analytics and user feedback to identify opportunities for improvement
Minimum Qualifications
3+ years of Product Management experience 3+ years in data platforms, analytics, or AI/ML products 3+ years of experience working cross-functionally with engineering, UX/UI, operations, service, sales finance, or other stakeholders Strong technical background with ability to engage deeply with engineering teams on architecture and implementation Deep understanding of modern data stack technologies (data warehouses, data lakes, ETL/ELT, BI tools, semantic layers) Bachelors degree in Computer Science or similar technical degree
Preferred Qualifications
Experienced with generative AI applications and LLM-powered products Working knowledge of AI/ML products, particularly in areas of Natural Language Processing (NLP), conversational interfaces, or intelligent automation Excellent stakeholder management skills with ability to influence without authority Strong analytical and problem-solving abilities with data-driven decision-making approach Proven track record of shipping successful data or analytics products that delivered measurable business outcomes Hands-on experience with platforms like Snowflake, Databricks, Looker, Tableau, or similar enterprise data tools Knowledge of semantic modeling, metadata management, and data governance frameworks Background in enterprise software or B2B SaaS product management Understanding of data quality, master data management, and data observability concepts Familiarity with modern development practices including APIs, micro-services, and cloud-native architectures Outstanding communication skills with ability to articulate complex technical concepts to diverse audiences
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