CapEx Manufacturing Optimization Product Manager

Apple • Cupertino, CA • 2h ago

Weekly Hours: 40

Role Number: 200656967-0836

Summary

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. The Product Operations Data Team sits at a unique intersection of manufacturing, engineering, and finance, giving individuals broad insight into the launch of new products. We are looking for a technically grounded, analytically driven individual who brings the best of both worlds: deep hands-on experience with automation equipment and manufacturing processes, paired with the data fluency and Generative AI capabilities to uncover opportunities at scale. This is not a purely technical role nor a purely analytical one - it is a hybrid that demands both. You will leverage engineering intuition to know where optimization opportunities exist, and modern data tools to prove it, size it, and drive it through cross-functional teams to deliver measurable impact. This is a high-growth opportunity for a driven, curious individual who is ready to own something significant and expand their impact as the vision scales.

Description

This demanding and fast-paced role requires engineering depth, data fluency, and sharp program management skills - working across teams from engineering to procurement to identify opportunities, drive alignment, and execute initiatives through to successful completion.

Minimum Qualifications

5+ years of experience in a manufacturing or related technical setting

Hands-on experience working with automation equipment and manufacturing assembly systems

BS degree in Mechanical Engineering or a closely related engineering field

Strong quantitative analytical skills - comfortable working with complex, multi- source datasets to extract meaningful operational signals

Demonstrated ability to lead cross-functional teams through solution development and implementation

Impeccable organizational, multi-tasking, and program management skills

Excellent verbal and written communication and influencing skills

Preferred Qualifications

MS in an Engineering field and/or MBA strongly preferred

Experience in manufacturing assembly equipment and/or automation design is highly preferred

Experience working with data tools and Generative AI platforms as active instruments in operational analysis and opportunity identification

Familiarity with Capex planning processes, spend estimation, or equipment lifecycle management

Experience working at the interface between business and engineering teams, serving as a translator or connector across functions

Clear and confident communicator, able to explain complex technical and analytical concepts to both technical and non-technical stakeholders

Demonstrated intellectual curiosity and a track record of growing technical depth independently in a fast-moving environment

Comfortable operating in ambiguous, fast-moving environments and building structure where the framework itself is still being defined

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