Product Manager, Apple Ads Experimentation
Apple
Product Manager, Apple Ads Experimentation
Job Description
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 are looking for a highly technical product manager to shape the future of our experimentation platform, empowering teams to innovate with confidence. This role will partner with engineering, data science, and product teams to deliver a world-class experimentation platform that accelerates innovation, improves user experiences, and drives business impact. With a focus on scalability, usability, and advanced analytics, you will shape how various teams test and iterate on features to deliver value to Apple Ads stakeholders. - Define product vision, roadmap, and requirements for Apple Ads experimentation platform. - Define key metrics to measure success of the platform. - Implement & rapidly iterate on the roadmap towards the vision in collaboration with product, UX, engineering, and data science teams. - Develop statistical frameworks and processes designed to analyze experiments to enable fast, reliable and accurate decision-making. - Collaborate with engineering to integrate statistical algorithms and new metrics into our experimentation platform. - Develop automated solutions for experiment diagnostics, anomaly detection, and guardrail monitoring. - Communicate statistical concepts to partners, including product managers, data science, and engineering teams. - Define standard methodologies and frameworks for trustworthy online controlled experiments; drive cultural adoption of data-driven decision making across product and engineering teams.
Locations
- Cupertino, California, United States 95014
- New York City, New York, United States 10022
Salary
Estimated Salary Rangemedium confidence
40,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- product managementintermediate
- technical product managementintermediate
- defining product visionintermediate
- defining product roadmapintermediate
- defining product requirementsintermediate
- defining key metricsintermediate
- roadmap implementationintermediate
- rapid iterationintermediate
- collaboration with engineeringintermediate
- collaboration with data scienceintermediate
- collaboration with product teamsintermediate
- collaboration with UX teamsintermediate
- statistical frameworks developmentintermediate
- experiment analysisintermediate
- statistical algorithms integrationintermediate
- metrics integrationintermediate
- automated solutions developmentintermediate
- experiment diagnosticsintermediate
- anomaly detectionintermediate
- guardrail monitoringintermediate
- communicating statistical conceptsintermediate
- defining standard methodologiesintermediate
- online controlled experimentsintermediate
- data-driven decision makingintermediate
- cultural adoption drivingintermediate
- scalability focusintermediate
- usability focusintermediate
- advanced analyticsintermediate
Required Qualifications
- Product Management experience. (experience)
- Experience building or scaling experimentation platforms at a tech company. (experience)
- Proven experience in defining measurable and interpretable success metrics and rallying cross-functional teams to achieve them. (experience)
- Exceptional written and verbal communication skills, with the ability to clearly and concisely convey results and opportunity areas to cross-functional teams and leadership. (experience)
- Strong track record of collaborating with engineers and data scientists on technical design discussions and proposing simple & creative solutions to complex problems. (experience)
- Experience gathering and synthesizing requirements from internal customers (e.g., product teams, engineers) to deliver user-centric solutions. (experience)
- Proficiency in defining and measuring KPIs, interpreting experiment results, and using data to drive decisions. (experience)
- Expert knowledge of experimental design, statistics and other analytical concepts. (experience)
- Proficiency in SQL and experience in analyzing complex, large-scale data sets to form hypotheses, evaluate experiment results, justify product opportunities, and measure success. (experience)
- Bachelor's degree or equivalent experience. (experience)
Preferred Qualifications
- Experience in advertising technology including platforms (ad exchange, or supply side platform), ad networks, and search advertising. (experience)
- Experience building incrementality measurement solutions. (experience)
- Expertise in ad optimization algorithms and digital marketplaces. (experience)
Responsibilities
- - Define product vision, roadmap, and requirements for Apple Ads experimentation platform.
- - Define key metrics to measure success of the platform.
- - Implement & rapidly iterate on the roadmap towards the vision in collaboration with product, UX, engineering, and data science teams.
- - Develop statistical frameworks and processes designed to analyze experiments to enable fast, reliable and accurate decision-making.
- - Collaborate with engineering to integrate statistical algorithms and new metrics into our experimentation platform.
- - Develop automated solutions for experiment diagnostics, anomaly detection, and guardrail monitoring.
- - Communicate statistical concepts to partners, including product managers, data science, and engineering teams.
- - Define standard methodologies and frameworks for trustworthy online controlled experiments; drive cultural adoption of data-driven decision making across product and engineering teams.
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Answer 10 quick questions to check your fit for Product Manager, Apple Ads Experimentation @ Apple.
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Product Manager, Apple Ads Experimentation
Apple
Product Manager, Apple Ads Experimentation
Job Description
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 are looking for a highly technical product manager to shape the future of our experimentation platform, empowering teams to innovate with confidence. This role will partner with engineering, data science, and product teams to deliver a world-class experimentation platform that accelerates innovation, improves user experiences, and drives business impact. With a focus on scalability, usability, and advanced analytics, you will shape how various teams test and iterate on features to deliver value to Apple Ads stakeholders. - Define product vision, roadmap, and requirements for Apple Ads experimentation platform. - Define key metrics to measure success of the platform. - Implement & rapidly iterate on the roadmap towards the vision in collaboration with product, UX, engineering, and data science teams. - Develop statistical frameworks and processes designed to analyze experiments to enable fast, reliable and accurate decision-making. - Collaborate with engineering to integrate statistical algorithms and new metrics into our experimentation platform. - Develop automated solutions for experiment diagnostics, anomaly detection, and guardrail monitoring. - Communicate statistical concepts to partners, including product managers, data science, and engineering teams. - Define standard methodologies and frameworks for trustworthy online controlled experiments; drive cultural adoption of data-driven decision making across product and engineering teams.
Locations
- Cupertino, California, United States 95014
- New York City, New York, United States 10022
Salary
Estimated Salary Rangemedium confidence
40,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- product managementintermediate
- technical product managementintermediate
- defining product visionintermediate
- defining product roadmapintermediate
- defining product requirementsintermediate
- defining key metricsintermediate
- roadmap implementationintermediate
- rapid iterationintermediate
- collaboration with engineeringintermediate
- collaboration with data scienceintermediate
- collaboration with product teamsintermediate
- collaboration with UX teamsintermediate
- statistical frameworks developmentintermediate
- experiment analysisintermediate
- statistical algorithms integrationintermediate
- metrics integrationintermediate
- automated solutions developmentintermediate
- experiment diagnosticsintermediate
- anomaly detectionintermediate
- guardrail monitoringintermediate
- communicating statistical conceptsintermediate
- defining standard methodologiesintermediate
- online controlled experimentsintermediate
- data-driven decision makingintermediate
- cultural adoption drivingintermediate
- scalability focusintermediate
- usability focusintermediate
- advanced analyticsintermediate
Required Qualifications
- Product Management experience. (experience)
- Experience building or scaling experimentation platforms at a tech company. (experience)
- Proven experience in defining measurable and interpretable success metrics and rallying cross-functional teams to achieve them. (experience)
- Exceptional written and verbal communication skills, with the ability to clearly and concisely convey results and opportunity areas to cross-functional teams and leadership. (experience)
- Strong track record of collaborating with engineers and data scientists on technical design discussions and proposing simple & creative solutions to complex problems. (experience)
- Experience gathering and synthesizing requirements from internal customers (e.g., product teams, engineers) to deliver user-centric solutions. (experience)
- Proficiency in defining and measuring KPIs, interpreting experiment results, and using data to drive decisions. (experience)
- Expert knowledge of experimental design, statistics and other analytical concepts. (experience)
- Proficiency in SQL and experience in analyzing complex, large-scale data sets to form hypotheses, evaluate experiment results, justify product opportunities, and measure success. (experience)
- Bachelor's degree or equivalent experience. (experience)
Preferred Qualifications
- Experience in advertising technology including platforms (ad exchange, or supply side platform), ad networks, and search advertising. (experience)
- Experience building incrementality measurement solutions. (experience)
- Expertise in ad optimization algorithms and digital marketplaces. (experience)
Responsibilities
- - Define product vision, roadmap, and requirements for Apple Ads experimentation platform.
- - Define key metrics to measure success of the platform.
- - Implement & rapidly iterate on the roadmap towards the vision in collaboration with product, UX, engineering, and data science teams.
- - Develop statistical frameworks and processes designed to analyze experiments to enable fast, reliable and accurate decision-making.
- - Collaborate with engineering to integrate statistical algorithms and new metrics into our experimentation platform.
- - Develop automated solutions for experiment diagnostics, anomaly detection, and guardrail monitoring.
- - Communicate statistical concepts to partners, including product managers, data science, and engineering teams.
- - Define standard methodologies and frameworks for trustworthy online controlled experiments; drive cultural adoption of data-driven decision making across product and engineering teams.
Tags & Categories
Answer 10 quick questions to check your fit for Product Manager, Apple Ads Experimentation @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs