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, Big Query), 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

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

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

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 .

Pay & Benefits:

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 $172,100 and $305,600, 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.