Capex Predictive Intelligence Product Manager

Sunnyvale, California, United States Operations and Supply Chain

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don't just create products - they create the kind of wonder that has 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.

In this role you will define, shape, and drive the predictive intelligence framework that transforms how the Capex team operates - shifting from manual estimation to model-driven prediction that influences product design decisions before commitments are made.

• Define business requirements and prediction objectives that guide ML model development - translating domain estimation logic into clear data inputs, target outputs, and accuracy expectations
• Identify and map upstream data sources that serve as trigger signals for Capex prediction, documenting the pipeline requirements needed to feed the predictive framework
• Partner with the ML engineering team and X-functional partners as domain expert and product owner, providing the manufacturing and Capex context to ML Engineering team.
• Build and maintain the requirements framework for how predictive capabilities are extended as real-time design guidance tools for cross-functional partners
• Strengthen and scale the team's role in design guidance -- transforming existing estimation practices into a predictive intelligence capability that delivers greater precision and earlier insight into capital impact
• Communicate model outputs, capabilities, and limitations clearly to both technical teams and non-technical executive and operational audiences
• Continuously expand your technical depth and domain understanding to strengthen the quality of the requirements and context you bring to the ML partnership
• Approximately 15% international travel

• 3+ years of experience in an analytical, data, or technically oriented role
• BS or MS degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent hands‑on experience
• Strong quantitative analytical skills - comfortable working with complex, multi-source datasets to extract meaningful signals
• Foundational understanding of how predictive models work - what they require as inputs, how they are trained, and how their outputs should be interpreted and validated
• Demonstrated ability to translate ambiguous business problems into structured, precise requirements that a technical team can act on

• 5+ years of experience in an analytically driven role with increasing scope and ownership
• Some exposure to manufacturing, supply chain, or capital equipment environments - enough to engage credibly with domain concepts and recognize when a model output makes operational sense
• Experience working at the interface between business and engineering teams, serving as a translator or connector across functions
• Familiarity with data pipeline concepts, feature engineering, and model validation practices - even without hands‑on model building experience
• Experience defining requirements for ML or data products and partnering with technical teams through the development lifecycle
• Clear and confident communicator, able to represent team needs to a technical audience and explain complex analytical concepts to non-technical stakeholders
• Demonstrated intellectual curiosity and a track record of growing technical depth independently in a fast-moving environment
• Comfortable operating in ambiguous, early‑stage problem spaces where the framework itself is still being defined

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…