Sr Technical Product Manager, AI & Data Platforms (AiDP)
Apple Inc.
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Benefits offered by this job
Job summary
Apple Inc. in Sunnyvale, CA seeks a Sr Technical Product Manager to own the strategy, roadmap, and performance of GenAI data platforms for enterprise teams. You will partner with software engineers, data scientists, and executives to land new products across the GenAI space.
The role requires 3+ years in product management and a strong technical background, with experience in data platforms and AI/ML products. A Bachelor's degree is required.
Qualifications
- Bachelor's degree in Computer Science or similar technical field is required.
- 3+ years of Product Management experience in data platforms, analytics, or AI/ML products.
- Experience leading cross-functional teams across engineering, UX, analytics, and finance.
Responsibilities
- Define and execute product strategy for AI-powered data platforms that support the complete data-to-insight lifecycle.
- Develop roadmaps aligned with business objectives, incorporating AI/ML capabilities and enterprise data management.
- Lead cross-functional teams to deliver high-impact products and translate complex requirements into user stories.
Skills
Education
Tools
Job description
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.
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.
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,500 and $311,700, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple 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. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants
Apple accepts applications to this posting on an ongoing basis.
- 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
- 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
- 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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