Job Details

Manager, Platform Optimization

Seattle, Washington, United States

Software and Services

Summary

Posted: May 02, 2025

Role Number: 200603013

Imagine what you can do here. At Apple, ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. We truly believe that at Apple, you will do your life’s best work.

Join the Commerce Platform Optimization team and help take our commerce, payments, data, and analytics platform to new heights. You'll be an integrated part of one of the most innovative companies in the world. Your work will have the opportunity to create amazing experiences for customers who are purchasing digital goods and services from content creators, developers, and Apple!

Our commerce platform supports billions of transactions in over 170 countries. Apple stands for elevating the human experience with technology, and for the Commerce team, this translates into seamless commerce experiences for our customers. We do this through our commerce platform in many ways. Our intuitive rigor is a big part of who we are. Intuition is important, and we believe that it gets fine tuned with sharp analytic rigor. Intuition and rigor are not in conflict and support each other in a virtuous cycle.

Our team sits at the intersection of engineering, data science and product management. We play a pivotal role in bringing Product Decision Intelligence to Commerce. Product Decision Intelligence adds a specialized decision quality layer on top of generic Product Management. Our work brings clarity on value to all our partners and helps our product leaders build and implement outstanding strategies. This team is dynamic, hardworking, and passionate about the intersection of decision quality, data science and hi-tech data product management.

Description

We need a top-tier leader to manage a group of Product Managers in the five pillars of Product Decision Intelligence: Product Evaluation, Portfolio Evaluation, Machine Learning Decision Intelligence, Experimentation Decision Intelligence, and End-to-End Data Products. The ideal candidate will bring related industry and academic experience in each of the pillars, and will be able to nurture and grow a talented team in this space.

This team guides product managers in building robust strategies to optimize the commerce platform. They help product managers clarify the core value proposition, understand the key output metrics, build a funnel of value, and take a fundamentals-driven approach to designing KPIs. They partner with data scientists to envision compelling data products that help sharpen our lens of value, in what may be termed “Decision-driven data making.” They support Product in designing and running Decision Analytic AB tests. They place a Decision Analysis layer on top of Artificial Intelligence to help answer: which are the most valuable opportunities in AI? They write specs for new machine optimization features bringing in a strong decision analytic perspective.

Our commerce platform facilitates billions of transactions by hundreds of millions of customers in the App Store, and across Apple’s services, so you can add several 0s to the impact of your work!

This role will require you to work closely with global and cross-functional teams such as Analytics, Engineering, Product Management, Product Marketing, Legal, Fraud, and Finance.

You’ll love it here if you thrive in environments where introspective thought is valued just as highly as collaboration. Where quality matters over quantity. You will get a chance to deploy your analytical, technical, writing, and facilitation skills along with your eye for clear business models.

Minimum Qualifications

• 3+ years of experience as a manager of specialists in the Data/ML/Decision Analysis space

• Well versed in Decision Analysis (based on normative Decision Theory) and know how to build decision models incorporating both uncertainty and value

• Experience with machine learning and easily able to explain a wide spectrum of machine learning and Gen AI techniques to a lay audience

• Experience with performing and presenting business evaluations using Decision Analysis at executive levels

• Have a teacher mindset to nurture and spread knowledge

• Love analytical problems that require a sharp problem-solving mentality and the ability to think outside the box

• Advanced Excel user with an eye toward making your models beautiful and easy to work with

• Enjoy writing clear, punchy memos on complex analytical topics

• Have a learn-and-grow mentality and want to be challenged in a nurturing and supportive environment

• Have a long-term outlook toward creating impact with a strong emphasis in cross-functional collaboration

• Masters or PhD in Decision Analysis, or equivalent work experience

Preferred Qualifications

• Experience with Engineering R&D

• Familiarity with the Apple ecosystem

• Familiarity with Bayesian AB Testing

• Familiarity with ML modeling and deployment

• Experience teaching Decision Analysis concepts

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 $164,200 and $285,900, 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. (https://www.apple.com/careers/us/benefits.html)

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

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.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

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.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.