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Product Manager, Apple Ads Campaign Optimization

Apple

Product Manager, Apple Ads Campaign Optimization

Apple

Cupertino, CA

·

On-site

·

Full-time

·

1w ago

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.

Are you passionate about shaping the future of advertising technology? We are seeking a dynamic Product Manager for our Campaign Optimization team. You'll drive the development product strategy and development of automation products of that help our advertisers be successful on our platform. You'll pair customer empathy with analytical rigor to form hypotheses and influence the direction of our AI-driven products, directly impacting thousands of brands and the future of digital advertising at Apple. If you're driven by leveraging data driven insights to bootstrap zero-to-one products and creating solutions that impact customer and business outcomes, we want you to lead with us.

Description:

  • Collaborate with cross-functional teams to define and achieve success metrics for optimizing advertiser campaigns

  • Lead product strategy and execution from concept to launch, leveraging data analytics to inform decisions

  • Develop hypotheses and evaluate them through data-driven insights and customer feedback

  • Assess technical and non-technical trade-offs for product decisions and communicate findings across teams and to executives

  • Work closely with engineering teams to test and launch new products and features, focusing on customer-centric solutions

  • Engage with stakeholders, conduct complex data analysis paired with experiment design, define product use cases, and drive projects that transform advertising experiences while upholding our commitment to privacy

Preferred Qualifications:

At least 2 years of experience in product management within digital advertising technologies

Expertise in ad optimization algorithms and digital marketplaces, specifically in building auto-bidding and budget optimization systems

Proven track record of launching and enhancing advertising products

Background in Statistics, Experimentation, Machine Learning, and AI

Minimum Qualifications:

Bachelor's degree in a relevant field or equivalent experience

Demonstrated ability to define measurable success metrics and lead teams to deliver results

Exceptional written and verbal communication skills, with the ability to clearly and concisely convey results and opportunity areas to cross-functional teams and leadership

Excels in a fast-paced environment with a high degree of ownership and accountability

Proficiency in SQL and experience in analyzing complex, large-scale data sets to form hypotheses, justify product opportunities, and measure success

Experience collaborating with engineering and data science teams for product development

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 .

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 $147,400 and $272,100, 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.

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About Apple

Apple

Apple

Public

Apple Inc. is an American multinational technology company headquartered in Cupertino, California, in Silicon Valley, best known for its consumer electronics, software and online services.

10,001+

Employees

Cupertino

Headquarters

$3.5T

Valuation

Reviews

4.0

10 reviews

Work-life balance

4.0

Compensation

4.2

Culture

3.8

Career

3.5

Management

3.2

75%

Recommend to a friend

Pros

Great coworkers and people

Excellent benefits and perks

Fast-paced and engaging work environment

Cons

High expectations and pressure

Management quality varies

Limited career progression opportunities

Salary Ranges

17,970 data points

Junior/L3

M3

M4

M5

M6

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Product Manager ICT2

0 reports

$188,750

total per year

Base

-

Stock

-

Bonus

-

$160,438

$217,063

Interview experience

5 interviews

Difficulty

3.4

/ 5

Duration

28-42 weeks

Offer rate

20%

Experience

Positive 20%

Neutral 40%

Negative 40%

Interview process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Behavioral Interview

5

Onsite/Virtual Interviews

6

Team Matching

7

Offer

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit

News & Buzz

7 factor authentication

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