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Product Manager, Apple Ads Predictions

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. In this role, you will cultivate a deep understanding of the relationship between our machine learning models and business/customer outcomes. Evaluate opportunity areas and create roadmaps for improving the machine learning models underlying our search and recommendation systems. Develop success metrics for efforts to improve our models. Work with the industry’s best engineers, data scientists, and researchers to create and assess A/B experiments on new models. Work with privacy, engineering, and business teams to develop novel privacy-preserving strategies for collecting information for use in our models. Experience working on search and/or recommendation systems or another consumer product that uses machine learning is strongly preferred, and experience in digital advertising is a plus.

Description


- Act as product owner for the machine learning models underlying our privacy-preserving search and recommendation systems. - Define success criteria and product requirements for our models by cultivating a deep understanding of the relationship between our models and business / customer outcomes. - Formulate clear and measurable hypotheses for how to improve success metrics, work with engineering and data science teams to test hypotheses, and make decisions based on experiment results. - Synthesize insights from data analysis, customer calls, and sales feedback into clear and concise opportunity areas and develop short-term and long-term roadmaps around these opportunity areas. - Collaborate with engineering, data science, and research teams to develop, launch, evaluate, and improve search and recommendation system models. - Collaborate with privacy, engineering, and business teams to develop novel privacy-preserving strategies for collecting information for use in our model. - Produce high-quality 1-pagers, product requirements, and presentations, to convey opportunity areas, experiment results, recommendations, and product strategy to cross-functional teams and leadership on a regular basis.

Minimum Qualifications


3+ years of Product Management 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. Exceptional written and verbal communication skills, with the ability to clearly and concisely convey results and opportunity areas to cross-functional teams and leadership. Proven experience in defining measurable and interpretable success metrics and rallying cross-functional teams to achieve them. Customer-centric attitude, with the ability to define and prioritize use cases and customer objectives. Strong track record of collaborating with engineering and data science teams to develop, launch, and improve machine learning models. Excels in a fast-paced environment with a high degree of ownership and accountability.

Preferred Qualifications


Previous experience working on search and/or recommendation systems or another consumer product that uses machine learning. Previous experience working in digital advertising and/or familiarity with digital advertising concepts through usage of ad platforms.
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What You Should Know About Product Manager, Apple Ads Predictions, Apple

Join Apple as a Product Manager for Apple Ads Predictions and immerse yourself in a role that’s all about enhancing customer experiences through smart advertising. Located in the vibrant New City, New York, this position invites you to work in a team that bridges technology with marketing services, helping users find exactly what they need while empowering advertisers to boost their business. You will dive deep into the intricacies of our machine learning models, assessing how they can drive better business outcomes and user satisfaction. Your expertise will be pivotal as you define success metrics, develop roadmaps for innovation, and conduct A/B testing to refine our search and recommendation systems. Collaborating with talented engineers and data scientists, you'll design privacy-preserving strategies that keep user data safe while harnessing its power for improved ad performance. If you have experience with machine learning in search or recommendations, and a flair for digital advertising, this role is your chance to make a significant impact. We’re seeking someone with a customer-centric attitude, who thrives in a fast-paced environment and possesses excellent communication skills to present insights and strategies to cross-functional teams. At Apple, we believe that well-executed advertising creates connections that benefit all parties involved. If you're ready to help shape the future of advertising with us, we can’t wait to meet you!

Frequently Asked Questions (FAQs) for Product Manager, Apple Ads Predictions Role at Apple
What are the main responsibilities of a Product Manager at Apple Ads Predictions?

As a Product Manager at Apple Ads Predictions, your primary responsibilities will include acting as the product owner for machine learning models, defining product requirements, and formulating success criteria based on business outcomes. You'll also collaborate closely with engineering and data science teams to test and enhance our models, ensuring that privacy concerns are addressed while maximizing advertising effectiveness.

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What qualifications are required for a Product Manager role at Apple Ads Predictions?

Candidates for the Product Manager position at Apple Ads Predictions should have a minimum of three years of Product Management experience, along with proficiency in SQL and the ability to analyze large-scale datasets. Exceptional communication skills are crucial, as you'll need to convey complex findings and insights to various stakeholders. A customer-centric mindset and a strong track record in collaborating with engineering and data science teams will also set you apart.

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What skills are essential for success as a Product Manager with Apple Ads Predictions?

Success in the Product Manager role at Apple Ads Predictions hinges on your analytical skills, particularly in defining and measuring success metrics. You should be adept at synthesizing insights from data analysis and feedback while working effectively in a collaborative environment with a focus on customer objectives. Experience with machine learning models and digital advertising concepts will significantly enhance your contributions.

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How does Apple Ads Predictions approach user privacy in advertising?

Apple Ads Predictions takes user privacy seriously, prioritizing the development of privacy-preserving strategies in their advertising models. As a Product Manager, you’ll work closely with privacy-focused teams to ensure that user data is handled respectfully, which not only builds trust with consumers but also enhances the overall effectiveness of our advertising solutions.

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What type of career growth can I expect as a Product Manager at Apple Ads Predictions?

Working as a Product Manager at Apple Ads Predictions offers significant opportunities for career growth. You’ll gain invaluable experience in leading projects that directly impact user experience and business outcomes while collaborating with top minds in the industry. The role encourages innovation and accountability, setting the stage for advancement within Apple and exposure to various aspects of product and technology management.

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Common Interview Questions for Product Manager, Apple Ads Predictions
Can you describe your experience with machine learning models?

In your response, highlight specific projects where you defined success metrics or contributed to developing machine learning models, emphasizing how you worked alongside engineers and data scientists to improve model outputs.

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How do you prioritize product features and updates?

Discuss your approach to prioritization, including frameworks you've used, stakeholder input, and how you align with business goals. Share examples where your prioritization resulted in successful project outcomes.

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What strategies do you employ for stakeholder communication?

Explain your methods for keeping stakeholders informed, such as regular updates, utilizing presentations or dashboards, and how you ensure feedback loops are in place to adapt project direction based on stakeholder insights.

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How do you measure the success of a product feature?

Describe your process for defining measurable metrics and KPIs that align with product and business objectives. Include examples of how you gathered data post-launch to make informed decisions about feature modifications.

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Can you share an example of a challenging project and how you handled it?

Think of a specific example that showcases your problem-solving skills. Outline the challenges faced, the steps you took to address them, and the final outcome, emphasizing collaboration and learning.

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How do you tackle potential conflicts within cross-functional teams?

Discuss your approach to conflict resolution, focusing on communication, listening to different perspectives, and finding common ground or compromises that align with business and product goals.

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What is your process for gathering customer feedback?

Explain your strategies for obtaining customer feedback, whether through direct interviews, surveys, or analyzing user behavior data. Illustrate how you used this feedback to inform product decisions.

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How do you stay updated on industry trends?

Share the sources you rely on for industry knowledge, such as blogs, conferences, or networking events. Highlight your proactive approach in incorporating relevant trends into product strategy.

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What tools do you use for product management?

Mention specific tools or software you use for project management, data analysis, or communication. Discuss how these tools have increased your efficiency and improved project outcomes.

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Why do you want to work at Apple Ads Predictions?

Articulate your passion for Apple’s mission and values, particularly regarding user experience and privacy. Discuss how this aligns with your career aspirations and how you believe you could contribute to the team.

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CULTURE VALUES
Inclusive & Diverse
Diversity of Opinions
Work/Life Harmony
Dare to be Different
Reward & Recognition
Empathetic
Take Risks
Growth & Learning
Transparent & Candid
Mission Driven
Passion for Exploration
Feedback Forward
BENEFITS & PERKS
Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Resources
Life insurance
Disability Insurance
Health Savings Account (HSA)
Flexible Spending Account (FSA)
Learning & Development
Paid Time-Off
Maternity Leave
Social Gatherings
FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
April 19, 2025

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