Capex Analytics & Manufacturing Optimization PM

Apple Inc.; Sunnyvale (CA); On-site; USD 134,000 - 246,000; Full time

Job summary

Apple Inc. in Sunnyvale, CA, seeks a CapEx Manufacturing Optimization Product Manager to define data optimization frameworks for the Capex Equipment Engineering organization.

You will bridge domain knowledge with a dedicated ML team to translate business needs into model requirements and predictive guidance. You will collaborate with ML engineers and cross-functional partners to map data sources, specify inputs/outputs, and extend the predictive capabilities to real-time design decisions.

Qualifications

• 3+ years in analytical/technical roles.
• Foundational understanding of predictive models and inputs.
• Ability to translate ambiguous problems into precise requirements for technical teams.
• Exposure to ML teams or data products is a plus.

Responsibilities

• Define business requirements and prediction objectives guiding ML model development.
• Identify and map upstream data sources for Capex prediction and pipeline needs.
• Partner with ML engineering and cross-functional teams as domain expert/PM.
• Build and maintain requirements framework for real-time design guidance tools.
• Scale the team's role in design guidance to deliver precise insights into capital impact.
• Communicate model outputs and limitations clearly to technical and executive audiences.
• Expand technical depth to strengthen requirements and context for ML partnership.
• Approximately 15% international travel.

Skills

Analytical experience

Translate business problems

Cross-functional collaboration

Data-driven decisions

Education

BS/MS in CS/Engineering/Data Science or related field

Tools

Data pipelines

Feature engineering

Model validation

Job description

Apple Inc. in Sunnyvale, CA, seeks a CapEx Manufacturing Optimization Product Manager to define data optimization frameworks for the Capex Equipment Engineering organization.

You will bridge domain knowledge with a dedicated ML team to translate business needs into model requirements and predictive guidance. You will collaborate with ML engineers and cross-functional partners to map data sources, specify inputs/outputs, and extend the predictive capabilities to real-time design decisions.