AI Transformation Product Manager, U.S. Channel Business Operations
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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. Our sales team, is in many ways, the face of Apple to our largest customers.
Description
Apple's Channel Business Operations team is seeking a visionary AI Transformation Product Manager to design and deploy AI systems, reshaping the way our sales teams work and driving deep sales intelligence. The successful candidate will be a trailblazer, with experience designing and implementing AI solutions that directly address business challenges and empower strategic decision-making.
In this role, you will be the strategic product owner of our Sales GenAI gateway platform, managing product roadmaps that integrate features like chatbots, summarization, anomaly detection, and agentic workflows into intuitive digital touchpoints. You'll also leverage your knowledge of sales and operations to solve real business problems, identifying new areas for workflow automation and transformation. You will translate business, operational, and sales enablement needs into scalable AI capabilities-bridging between sales leaders, engineering, data science, and AI agents.
This role will drive existing AI roadmaps, as well as innovate 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.","responsibilities":"Own the end-to-end product roadmap of our Sales GenAI platform-from discovery and prioritization to delivery and optimization.
Define and evolve a modular product strategy that supports integration, web tools, insights emails, and agent-based decisioning.
Translate business automation 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.
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.
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Experience working in dual-speed orgs where central and regional product needs coexist.
Experience with anomaly detection and causal inference models.
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) in Economics, Electrical Engineering, Statistics, Data Science, or a similar quantitative field is preferred.
Minimum Qualifications
8+ years of product management experience, including 2+ in AI/ML or data-driven platforms. Experience launching traditional ML and AI-powered features in enterprise tools or data products.
Experience identifying business use-cases and translating 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.
Understanding of GenAI and RAG strategies, micro services, MCP, A2E, recommendation systems, and prompt engineering.
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.
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 .
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