AI Product Manager

Imagine what you could do here. At Apple, new ideas have a way of becoming outstanding products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish! Apple’s Sales organization generates the revenue needed to fuel our ongoing development of products and services. This, in turn, enriches the lives of hundreds of millions of people around the world. We are, in many ways, the face of Apple to our largest customers. Apple's US Decision Intelligence (DI) team is looking for a dedicated individual who is passionate about crafting, implementing, and operating AI solutions that have a direct and measurable impact on Apple Sales and its customers. We’re seeking a visionary US DI AI Product Manager to be the strategic product owner of our Sales GenAI gateway platform and ecosystem. You will translate business, operational, and sales enablement needs into scalable AI capabilities—bridging the gap between sales leaders, engineering, data science, and AI agents. You’ll manage roadmaps that integrate GenAI features like chatbots, summarization, anomaly detection, and agentic workflows into intuitive digital touchpoints. This role will operate in both capacities, to augment existing AI roadmaps, as well as innovate and trailblaze new frontier tech projects, crafting AI experiences that reduce time to insights and catalyze decision-making. AI is a team sport, and in your role, you will be key in leading and influencing teams on the translation of business problems and questions into GenAI solutions. In this role, you will: - Own the end-to-end product lifecycle of Sales GenAI platform—from discovery and prioritization to delivery and optimization. - Define and evolve a modular product vision that supports integration, web tools, insights emails, and agent-based decisioning. - Translate business goals into clear AI/ML feature requirements in partnership with AI engineers and data scientists. - Collaborate with UX/UI and engineering to ensure seamless integration of LLMs, RAG, and ML outputs into the GenAI gateway. - Drive A/B testing, usage telemetry, and insights adoption metrics to inform roadmap decisions. - Serve as the connective tissue between business partners and technical teams to balance impact and feasibility. Minimum Qualifications 12+ years proven experience in data and AI-related fields such as software architecture or AI engineering, software development, data science, data analysis, or data lead roles, with experience across both traditional ML systems and GenAI LLMs. 5+ years of product management experience, including 2+ in AI/ML or data-driven platforms. Experience launching AI-powered features in enterprise tools or data products. Ability to translate ambiguous business problems into concrete technical solutions. Ability to lead the development of AI projects from start to finish. Strong communication and storytelling skills with executive-level stakeholders. Comfort with ambiguity. Ability to architect a full orchestrator and business context layer for sales. Wide knowledge of GenAI and RAG strategies, micro services, MCP, A2E, recommendation systems, and prompt engineering. Deep understanding of LLM ecosystems (OpenAI, Anthropic, Gemini, etc.), RAG pipelines, vector databases (e.g., Pinecone, FAISS, Milvus, PostgreSQL). Experience with orchestration layers (e.g., LangChain, Semantic Kernel, Haystack), and prompt engineering best practices. Basic proficiency in programming languages, tools, and frameworks like Python, Git, Notebooks, Dataiku, and Streamlit. Familiarity with telemetry and evaluation frameworks for AI agents. Experience working with data science teams on insights generation leveraging LLMs. Knowledge of project management, productivity, and design tools such as Wrike and Sketch. Strong time management skills with the ability to collaborate across multiple teams. Proven experience designing scalable, cloud-native platforms (e.g., AWS, GCP, or on-prem hybrid). Able to balance competing priorities, long-term projects, and ad hoc requirements. Ability to work in a fast-paced, dynamic, constantly evolving business environment. Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Economics, Applied Mathematics, Machine Learning, or a related field. Preferred Qualifications Background in sales analytics, go-to-market, or operations. Ability to communicate results and insights effectively to partners and senior leaders, as well as both technical and non-technical audiences. Experience working in dual-speed orgs where central and regional product needs coexist. Experience with anomaly detection and causal inference models. Proven experience working with LLMs and GenAI frameworks (LangChain, LlamaIndex, etc.). Familiarity with embedding, retrieval algorithms, agents, and data modeling for vector development graphs. Other complementary technologies for distributed systems architecture and asynchronous messaging, agent communication, and catching like RabbitMQ, Redis, and Valkey are preferred. Advanced Degree (MS or Ph.D.) in Economics, Electrical Engineering, Statistics, Data Science, or a similar quantitative field is preferred. 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 $203,300 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. Diversity & Inclusion 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 (Opens in new window) . Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation. Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Learn more (Opens in new window) . Apple is a drug-free workplace.  Learn more (Opens in new window) . Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the guidelines (opens in a new window) applicable in your area. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.