Job Details

Senior Engineering Manager - Ads Auction & Marketplace Optimization

San Francisco Bay Area, California, United States

Machine Learning and AI

Summary

Posted: Sep 15, 2025

Weekly Hours: 40

Role Number: 200618128-3401

At Apple, we focus deeply on our customers’ experience. Apple Ads brings this same approach to advertising, helping people find exactly what they’re looking for and helping advertisers grow their businesses.

Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes—from small app developers to big, global brands. Because when advertising is done right, it benefits everyone.

We're seeking an adventurous and strategic leader to drive innovation in Ads Auction and Marketplace Optimization. This role requires a deep understanding of Ad network behavior and the ability to develop and prioritize an innovation roadmap that spans multiple technical domains. You'll lead a team that designs, develops, and delivers innovative capabilities, differentiating Apple’s Ad Platforms and driving key business outcomes.

Description

As an Engineering Manager, you'll be responsible for building products and solutions for auction and marketplace optimization to deliver value to advertisers, users, and Apple Ads. In addition, you will have the opportunity to play a critical role in influencing the roadmap and technical strategy in allied areas like campaign optimization, advertiser recommendations, response prediction etc all of which are critical for delivering enhanced experience for the advertisers and users on our platform.

Responsibilities

• Define and implement the technical strategy for building solutions for auction and marketplace optimization that can deliver value to advertisers, users, and Apple Ads.

• Play a critical role in shaping the strategy and roadmap for allied areas like campaign optimization, advertiser recommendations, response prediction etc to deliver an optimal end to end experience for advertisers and users

• Leverage innovative research and technology to deliver these capabilities at scale

• Design and analyze sophisticated algorithms to deliver incremental improvements that are privacy compliant

• Execute and analyze large-scale experiments to drive continuous improvements in ad effectiveness.

• Work closely with engineering and business teams to scale innovations, improving user experience and monetization potential across Apple’s advertising platform.

• Operate at utmost scale, ensuring efficient and reliable model deployment and execution.

• Develop and implement ad algorithms, optimization solutions, and marketplace data analyses within an ad network.

• Architect and scale intelligence systems, addressing operational concerns and performance optimizations.

Minimum Qualifications

• 5+ years of experience leading teams that apply auction theory, quantitative optimization, advanced statistical/ML methods to large, sophisticated datasets.

• Track record of leading engineering teams from design to implementation, ensuring scalability and reliability.

• Deep mathematical understanding of auction theory, game theory, economics, quantitative optimization, modern ML techniques, and statistics.

• Experience working with operational teams on deployment, monitoring, and system management.

• Strong analytical skills, ability to investigate multiple streams of ad quality data, draw insights, and recommend actionable solutions.

• Experience in one or more of the following domains: auction theory and auction design, game theory, machine learning, statistics, quantitative analysis, algorithms, and distributed systems.

• Hands-on experience with Python or Java in a production environment.

• Proficiency in databases, SQL, and scripting languages for data processing and model deployment.

• BS, or equivalent experience, in Economics, AI, ML, Mathematics, Computer Science, or a related field

Preferred Qualifications

• 10+ years of experience applying auction theory, game theory, economics, quantitative optimization, advanced statistical/ML methods to large, sophisticated datasets.

• MS/PhD, or equivalent experience in Economics, Game Theory, AI, ML, Mathematics, Computer Science, or a related field.

• Previous experience with online advertising domain highly preferred

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 $198,300 and $342,800, 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.