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 theres 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 Apples 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 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 nnWe are seeking an experienced Sr Technical Product Manager to join our AI and Data Platform 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.

Product Strategy u0026 VisionnDefine and execute product strategy for AI-powered data platforms that support the complete data-to-insight lifecyclenDevelop product roadmaps aligned with business objectives incorporating AI/ML capabilities self-service analytics and enterprise data managementnIdentify market opportunities and emerging trends in AI data analytics and semantic technologies to inform product directionnEstablish clear product vision and success metrics (OKRs/KPIs) that demonstrate business value and user adoptionnnProduct Development u0026 DeliverynLead cross-functional teams including engineering data science design and analytics to deliver high-impact productsnTranslate complex technical requirements into clear user stories and product specificationsnDrive end-to-end product lifecycle from discovery and ideation through launch and iterationnPrioritize features and manage backlogs based on user needs technical feasibility and business impactnChampion agile methodologies and maintain strong product delivery cadencennStakeholder ManagementnPartner with business users data consumers and executive stakeholders to understand pain points and requirementsnCommunicate product vision roadmap updates and progress to diverse audiences including technical and non-technical stakeholdersnManage expectations and build consensus across multiple teams and business unitsnGather and synthesize feedback to continuously improve product experiencennTechnical LeadershipnWork closely with engineering teams on architectural decisions technical trade-offs and platform scalabilitynUnderstand data platform technologies including data warehouses (Snowflake BigQuery) semantic layers data catalogs and BI toolsnDrive AI/ML integration including generative AI conversational analytics and intelligent automation capabilitiesnEnsure products meet enterprise standards for security governance data quality and compliancennUser Experience u0026 AdoptionnChampion user-centric design principles to create intuitive self-service experiences for business usersnConduct user research usability testing and data analysis to validate product hypothesesnDevelop onboarding strategies documentation and training materials to drive product adoptionnMonitor usage analytics and user feedback to identify opportunities for improvement

3 years of Product Management experiencen3 years in data platforms analytics or AI/ML productsn3 years of experience working cross-functionally with engineering UX/UI operations service sales finance or other stakeholdersnStrong technical background with ability to engage deeply with engineering teams on architecture and implementationnDeep understanding of modern data stack technologies (data warehouses data lakes ETL/ELT BI tools semantic layers)nBachelors degree in Computer Science or similar technical degree

Experienced with generative AI applications and LLM-powered productsnWorking knowledge of AI/ML products particularly in areas of Natural Language Processing (NLP) conversational interfaces or intelligent automationnExcellent stakeholder management skills with ability to influence without authoritynStrong analytical and problem-solving abilities with data-driven decision-making approachnProven track record of shipping successful data or analytics products that delivered measurable business outcomesnHands-on experience with platforms like Snowflake Databricks Looker Tableau or similar enterprise data toolsnKnowledge of semantic modeling metadata management and data governance frameworksnBackground in enterprise software or B2B SaaS product managementnUnderstanding of data quality master data management and data observability conceptsnFamiliarity with modern development practices including APIs micro-services and cloud-native architecturesnOutstanding communication skills with ability to articulate complex technical concepts to diverse audiences