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CapEx Manufacturing Optimization Product Manager

Apple


Job Location:

Cupertino, CA - USA

Monthly Salary: Not provided by the employer
Posted: 11 July 2026 (30+ days ago)
Application Deadline: 10 October 2026
Vacancies: 1 Vacancy

Job Summary

Imagine what you could do here. At Apple new ideas have a way of becomingnextraordinary products services and customer experiences very quickly. Bring passionnand dedication to your job and theres no telling what you could accomplish. The peoplenhere at Apple dont just create products - they create the kind of wonder that hasnrevolutionized entire industries. Its the diversity of those people and their ideas thatninspires the innovation that runs through everything we do from amazing technology tonindustry-leading environmental efforts. Join Apple and help us leave the world betternthan we found Product Operations Data Team sits at a unique intersection of manufacturingnengineering and finance giving individuals broad insight into the launch of newnproducts. We are looking for a technically grounded analytically driven individual whonbrings the best of both worlds: deep hands-on experience with automation equipmentnand manufacturing processes paired with the data fluency and Generative AIncapabilities to uncover opportunities at scale. This is not a purely technical role nor anpurely analytical one - it is a hybrid that demands both. You will leverage engineeringnintuition to know where optimization opportunities exist and modern data tools to provenit size it and drive it through cross-functional teams to deliver measurable impact. Thisnis a high-growth opportunity for a driven curious individual who is ready to ownnsomething significant and expand their impact as the vision scales.

This demanding and fast-paced role requires engineering depth data fluency andnsharp program management skills - working across teams from engineering tonprocurement to identify opportunities drive alignment and execute initiatives through tonsuccessful completion.n

Leverage deep technical knowledge of manufacturing equipment to identify andnvalidate opportunities for cost and process optimization across all Lines of BusinessnUse data analysis and Generative AI tools to identify parse and size process- related optimization opportunities across complex multi-source datasetsnGo deep into the operational and technical details of manufacturing processes to build the engineering context needed to evaluate and validate optimization opportunitiesnTranslate data findings and engineering insights into structured actionable project proposals - defining the opportunity solution approach required resources and expected return on investmentnBuild cross-functional relationships across engineering procurement and operations to drive consensus and alignment on optimization prioritiesnOrganize and manage projects including schedules team coordination and risk mitigation to ensure initiatives are executed through to successful completionnDevelop ROI analyses and business cases for each optimization initiative translating engineering and operational findings into financial impact that drives prioritization and stakeholder buy-innOwn the adoption and change management process for implemented solutions ensuring improvements are sustained and embedded into standard operating proceduresnCommunicate findings recommendations and project status with clarity and precision to both technical teams and non-technical executive and operational audiencesnInternational travel up to 15%

5 years of experience in a manufacturing or related technical settingnHands-on experience working with automation equipment and manufacturing assembly systemsnBS degree in Mechanical Engineering or a closely related engineering fieldnStrong quantitative analytical skills - comfortable working with complex multi- source datasets to extract meaningful operational signalsnDemonstrated ability to lead cross-functional teams through solution development and implementationnImpeccable organizational multi-tasking and program management skillsnExcellent verbal and written communication and influencing skills

MS in an Engineering field and/or MBA strongly preferrednExperience in manufacturing assembly equipment and/or automation design is highly preferrednExperience working with data tools and Generative AI platforms as active instruments in operational analysis and opportunity identificationnFamiliarity with Capex planning processes spend estimation or equipment lifecycle managementnExperience working at the interface between business and engineering teams serving as a translator or connector across functionsnClear and confident communicator able to explain complex technical and analytical concepts to both technical and non-technical stakeholdersnDemonstrated intellectual curiosity and a track record of growing technical depth independently in a fast-moving environmentnComfortable operating in ambiguous fast-moving environments and building structure where the framework itself is still being defined

Required Experience:

IC


About Company

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Ask Siri to name the most successful company in the world and it might respond: Apple. And it's not just out of familial pride. Apple consistently ranks highly in profit, revenue, market capitalization, and consumer cachet. In 2018, the company became the first reach a trillion dollar ... View more

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