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职位Microsoft

Principal Product Manager - Audience Platform & Modeling

Microsoft

Principal Product Manager - Audience Platform & Modeling

Microsoft

United States, New York, New York; United States, Washington, Redmond; United States, California, Mountain View

·

On-site

·

Full-time

·

1mo ago

必备技能

Machine Learning

Overview:

The Audience and Identity Platform team is responsible for building the foundational systems that power audience targeting, personalization, and data activation across Microsoft Ads. These platforms and services enable advertisers and internal product teams to reach the right users with the right content at the right time.

  • As a Principal Product Manager
  • Audience Platform & Modeling, you’ll be responsible for understanding user and business needs, defining clear requirements, and driving execution across engineering, design, and partner teams. This role will define how audiences are created, modeled, and activated across Microsoft AI properties and advertising surfaces. You will work at the intersection of identity, machine learning, and large-scale data systems to unlock intelligent audience capabilities that drive measurable impact for advertisers and enable richer personalization experiences across Microsoft products.

This is a high-impact role requiring deep product leadership, solid technical understanding of data platforms and machine learning systems, and the ability to drive cross-organization alignment across engineering, data science, sales, and partner teams.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

  • Responsibilities- Define and drive the vision, strategy, and roadmap for Microsoft’s Ads audience platform powering ads targeting and personalization.
  • Build scalable infrastructure that enables audiences to be defined once and activated across multiple surfaces including search, native, display, video, and gaming.
  • Partner with data science and applied research teams to design and launch machine learning–based audience models that improve reach, relevance, and advertiser performance.
  • Drive experimentation and evaluation frameworks to measure audience quality, performance lift, and coverage.
  • Establish best practices for experimentation, customer feedback loops, and data-driven product development across the audience platform team.

Qualifications:

Required Qualifications:

  • Bachelor's Degree AND 8+ years experience in product/service/program management or software developmentOR equivalent experience.

Preferred Qualifications:

  • Bachelor's Degree AND 12+ years experience in product/service/program management or software developmentOR equivalent experience.
  • Deep understanding of identity resolution, audience modeling, and data activation in advertising ecosystems.
  • Solid analytical mindset with experience using data and experimentation to guide product decisions.
  • 4+ years experience in building advertising audience and/ or identity solutions.
  • Excellent communication — able to translate technical and economic concepts into executive language.

#MicrosoftAI

Product Management IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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关于Microsoft

Microsoft

Microsoft

Public

Microsoft Corporation is an American multinational technology conglomerate headquartered in Redmond, Washington.

10,001+

员工数

Redmond

总部位置

$3000B

企业估值

评价

3.8

5条评价

工作生活平衡

4.1

薪酬

4.3

企业文化

3.4

职业发展

3.2

管理层

3.0

65%

推荐给朋友

优点

Excellent compensation and benefits package

Four-day workweek with improved work-life balance

Supportive managers and teams

缺点

High-pressure environment causing anxiety

Unprofessional interview processes

Limited creative work opportunities

薪资范围

5,620个数据点

Mid/L4

Principal/L7

Senior/L5

Staff/L6

VP

Director

Mid/L4 · Program Manager

0份报告

$191,472

年薪总额

基本工资

$146,773

股票

$26,238

奖金

$18,461

$138,474

$273,204

面试经验

1次面试

难度

4.0

/ 5

时长

14-28周

体验

正面 0%

中性 0%

负面 100%

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

Culture Fit