AI/ML Product Manager - Forecasting tool

Imagine what you could do here. The people here at Apple don’t just create products — they create the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Apple's WW Channel Strategy & Operations (CSO) organization focuses on developing and deploying worldwide sales programs and standard methodologies to deliver an extraordinary customer experience in the channel and drive Apple Channel sales. With deep functional expertise in digital, physical, and people enablement spaces, our WW CSO team closely collaborates with many cross-functional groups at world-wide and regional levels. In this role, you will demonstrate your deep expertise in product management and tech platform management to make specific recommendations for new technologies to drive impact across sales, marketing, people, and customer experience within the channel globally. You will partner cross-functionally and multi-directionally with a variety of partners to drive the product lifecycle forward from ideation to development to post-launch improvements. As new technologies emerge, your forward-thinking and influence will revolutionize how our channel teams use data to make decisions, using algorithmic insights and automation/augmentation of decisions with AI/ML technologies. You’ll be the Product Manager for an AI-driven merchandising planning platform that manages merchandising for thousands of doors during new product introductions and throughout the product lifecycle.

Description

- Deliver a forecasting application to support new product introductions - Use data (traffic, dwell, demo interactions, POS, attach, inventory, fixture constraints) and ML/optimization to recommend merchandising - Forecast outcomes, run experiments at scale, and keep a tight loop with merchandising compliance and performance telemetry - Define the roadmap and ship APIs/MCP that transform static “one-planogram-for-all” into adaptive, evidence-based assortments - Drive towards a shared vision to build scalable, secure, and advanced data and analytics capabilities using AI/ML technologies - Conduct market research, evaluate, and recommend AI/ML technology stack and analytics use-cases to drive efficiencies and optimize resources for the sales channel - Build a deep understanding of the target audience on the demand side (sales executives, business analysts, leadership, etc.) and on the supply side (engineering, data governance, technology partners, etc.) - Manage continuous prioritization of requests for new features and capabilities by partnering closely with multiple cross functional teams around the world - Drive the product roadmap for automating and augmenting decision making using advanced models, frameworks, and applications - Collaborate with technology partners and internal engineering teams on data architecture, standardization, and execution of the prioritized use-cases

Minimum Qualifications

8+ years of experience in product management for enterprise-scale products Bachelor’s degree or equivalent experience Strong SQL; comfort with Python-based analytics; ability to define metrics (e.g., demo engagement, conversion, attach) Familiarity with supervised models (forecasting, propensity, uplift), ranking/recommendation, and basics of contextual bandits; Experience designing and reading experiments at scale (A/B, geo experiments, sequential tests); Expertise with large-scale e-commerce data and AI/ML platforms Broad proficiency in product management and design thinking techniques and tools (e.g. vision setting, PRDs, critical metrics, customer journey maps, product roadmaps)

Preferred Qualifications

Hands-on experience with reinforcement learning for layout selection, demand forecasting, and optimization Experience with causal inference, uplift modeling for rollout decisions by segment or geography Familiar with feature stores, model/version tracking, offline/online skew checks, shadow launches, automated retraining & monitoring (drift, performance, guardrails) Deep understanding of the modern data and analytics technology stack, including Snowflake, Amazon SageMaker, and Salesforce Entrepreneurial approach with an ability to navigate ambiguity and focus on what matters most Strong influencing skills to drive alignment across business, operational, and technical partners Exceptional verbal and written communication skills along with the ability to simplify complex ideas for technical and non-technical audiences Familiarity with Salesforce Data Cloud and Apple Keynote preferred MBA preferred

Eeo Content

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