CapEx Manufacturing Optimization Product Manager

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.

Responsibilities:

Leverage deep technical knowledge of manufacturing equipment to identify and validate opportunities for cost and process optimization across all Lines of Business

Use data analysis and Generative AI tools to identify, parse, and size process- related optimization opportunities across complex, multi-source datasets

Go deep into the operational and technical details of manufacturing processes to build the engineering context needed to evaluate and validate optimization opportunities

Translate data findings and engineering insights into structured, actionable project proposals - defining the opportunity, solution approach, required resources, and expected return on investment

Build cross-functional relationships across engineering, procurement, and operations to drive consensus and alignment on optimization priorities

Organize and manage projects including schedules, team coordination, and risk mitigation to ensure initiatives are executed through to successful completion

Develop ROI analyses and business cases for each optimization initiative, translating engineering and operational findings into financial impact that drives prioritization and stakeholder buy-in

Own the adoption and change management process for implemented solutions, ensuring improvements are sustained and embedded into standard operating procedures

Communicate findings, recommendations, and project status with clarity and precision to both technical teams and non-technical executive and operational audiences

International travel up to 15%

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, demanding environment and building

structure where the framework itself is still being defined

Minimum Qualifications

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

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

Pay & Benefits

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 $133,500 and $201,600, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.