CapEx Manufacturing Optimization Product Manager

**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

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.