AI Transformation Product Manager, U.S. Channel Business Operations jobs in United States
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Apple · 15 hours ago

AI Transformation Product Manager, U.S. Channel Business Operations

Apple is a leading technology company known for its innovative products and commitment to environmental efforts. They are seeking a visionary AI Transformation Product Manager to design and deploy AI systems that enhance sales operations and drive deep sales intelligence. The successful candidate will manage the product roadmap for the Sales GenAI platform, integrating AI features to solve business challenges and empower decision-making.

AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
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Comp. & Benefits
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H1B Sponsor Likelynote

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

Qualification

AI/ML experienceProduct managementSales enablementGenAI knowledgeProgramming proficiencyData science collaborationCloud-native platformsComfort with ambiguityCommunicationTime management

Required

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

Preferred

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
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

Benefits

Comprehensive medical and dental coverage
Retirement benefits
A range of discounted products and free services
Reimbursement for certain educational expenses — including tuition
Discretionary bonuses or commission payments
Relocation

Company

Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.

H1B Sponsorship

Apple has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6998)
2024 (3766)
2023 (3939)
2022 (4822)
2021 (4060)
2020 (3656)

Funding

Current Stage
Public Company
Total Funding
$5.67B
Key Investors
Berkshire HathawayMicrosoftSequoia Capital
2025-05-05Post Ipo Debt· $4.5B
2025-01-16Post Ipo Debt· $0.31M
2021-04-30Post Ipo Equity

Leadership Team

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Tim Cook
CEO
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Craig Federighi
SVP, Software Engineering
Company data provided by crunchbase