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Demand Insights Manager - Apple Ads (Search Demand)

Apple

Demand Insights Manager - Apple Ads (Search Demand)

Apple

Austin, TX

·

On-site

·

Full-time

·

2d 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 while enabling advertisers to 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 grounded in trust, connection, and impact. We respect user privacy, thoughtfully integrate advertising into the customer experience, and deliver value for advertisers of all sizes, from small app developers to global brands. When advertising is done right, it benefits everyone.

Within Apple Ads, the Search Demand Product Analytics team is growing and looking to add a Manager to the leadership team. This role will lead the Advertiser Measurement function, partnering closely with Search Demand Product to support new product development, launch measurement, and impact evaluation. The team works across opportunity sizing, telemetry and measurement design, launch reporting, and post-launch analysis to ensure product decisions are grounded in rigorous, scalable analytics.

This role will build, lead, and mentor a team of data scientists while helping formalize processes that scale with increasing product velocity.

Description

As a Manager on the Apple Ads Search Demand Product Analytics team, you will lead a group of data scientists responsible for advertiser measurement and new product analytics. Your team will support the full product lifecycle, including opportunity sizing, defining measurement and telemetry requirements, designing launch reporting, and evaluating post-launch impact.

You will set priorities, raise the level of analytical rigor, and ensure strong cross-functional alignment with Product and Engineering stakeholders. As the organization grows, you will help establish scalable measurement frameworks that enable consistent, high-quality decision-making across launches.

This is a hands-on leadership role. The Manager is expected to operate with the technical depth of a senior individual contributor while leading and developing others.","responsibilities":"Collaborate with Product Insights Leadership: Work closely with Product Insights leadership to provide timely insights on our product, identify opportunities for new or improvements to existing products and consistently deliver actionable, innovative and accurate product analysis.

Lead, Mentor, and Grow: Build and manage a team of early-to-mid-career data scientists, fostering a culture of rigorous analysis, innovation, and intellectual curiosity.

Collaborate with Product Teams: Drive timely and impactful insights and analysis in product areas included but not limited to: Measurement & Telemetry, API & UI instrumentation, Campaign Management, Demand Side Experimentation, Reporting and Insights, Policy & Compliance, and Bidding.

Product Impact: Guide the team in leveraging advanced statistical and machine learning techniques to provide innovative and actionable product insights that improve the product for our customers

Partner with Product, Engineering, and GTM Teams: Collaborate closely with stakeholders from Product, Engineering and GTM teams to insure high quality, actionable insights are provided throughout the GTM process.

Champion Privacy: Work with Privacy and Legal teams to ensure all analysis and data usage adheres to Apple's strict commitment to user privacy.

Measure Impact: Develop methods to track the influence and adoption of the team's work on our business.

Minimal travel required. This role is ideal for a technically strong data science leader who is passionate about developing people and driving measurable product impact.

Preferred Qualifications

Experience in digital advertising, search ads, marketplaces, or performance-driven consumer businesses

Familiarity with mobile app marketing or auction-based systems

Experience designing scalable measurement frameworks for new product launches

Experience building reporting systems that inform leadership decision-making

Track record of influencing product strategy through data-driven insights

Experience working in privacy-conscious environments

Minimum Qualifications

5+ years of experience in product analytics, data science, or a related quantitative field

Experience leading or mentoring data scientists, with demonstrated technical and project leadership

Strong foundation in experimentation, statistical analysis, and business impact measurement

Ability to operate with senior-level technical depth and guide complex analytical work

Experience partnering cross-functionally with Product and Engineering teams

Excellent communication skills, with the ability to translate complex analysis into clear, actionable insights

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 .

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关于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+

员工数

Cupertino

总部位置

$3.5T

企业估值

评价

3.9

10条评价

工作生活平衡

2.5

薪酬

4.2

企业文化

3.8

职业发展

3.5

管理层

3.2

72%

推荐给朋友

优点

Great benefits and compensation

Talented colleagues and supportive teams

Learning opportunities and mentorship

缺点

Work-life balance challenges

High stress and pressure

Fast-paced environment

薪资范围

11,365个数据点

Junior/L3

L2

L3

L4

L5

L6

M3

M4

M5

M6

Principal/L7

Senior/L5

Staff/L6

Junior/L3 · Data Scientist ICT2

0份报告

$121,979

年薪总额

基本工资

-

股票

-

奖金

-

$103,682

$140,276

面试经验

3次面试

难度

3.3

/ 5

时长

28-42周

录用率

33%

体验

正面 33%

中性 0%

负面 67%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience