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.
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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