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채용Microsoft

Product Management IC6

Microsoft

Product Management IC6

Microsoft

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

·

On-site

·

Full-time

·

1d ago

Overview

We are hiring a Principal Product Manager to lead predictive planning and recommendation experiences that help advertisers make smarter budget, bidding, and growth decisions through scalable ML‑driven forecasting. This role owns end‑to‑end product strategy across data, models, and UX, with opportunities to evolve the experience into agentic, LLM‑powered workflows that proactively guide advertisers from insight to action. You will operate at product and platform scale, translating complex signals and uncertainty into clear recommendations that drive measurable advertiser outcomes.

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

  • Product Leadership: Develop and communicate the strategy and roadmap for planning & recommendation products across Microsoft’s ad ecosystem.
  • Customer Advocacy: Represent the product to customers, deeply understand their needs, and champion those needs internally.
  • Execution & Decision-Making: Navigate ambiguity, make tough prioritization decisions, and drive alignment across engineering, design, and business stakeholders.
  • Communication & Collaboration: Partner effectively with Sales, Marketing, Business Development, Legal, and other cross-functional teams to deliver cohesive product outcomes.
  • Data & AI Innovation: Collaborate with Data Science and ML teams to leverage insights and models that power forecasting, scenario planning, and actionable recommendations for advertisers, while upholding responsible use of data and brand trust at scale.
  • Go-to-Market Leadership: Lead go-to-market efforts with marketing and sales, ensuring product launches drive adoption, transparency, and measurable advertiser impact.
  • Industry Leadership: Establish Microsoft as a leader in responsible advertising by shaping internal practices and influencing industry standards.

Qualifications Required Qualifications:

  • Bachelor's Degree AND 10+ years experience in product/service/project/program management or software development
  • OR equivalent experience.

Preferred Qualifications:

  • Bachelor's Degree AND 12+ years experience in product/service/program management or software development
  • OR equivalent experience.
  • 6+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework).
  • 8+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn).
  • 8+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product).
  • 5+ years experience developing digital advertising products, especially on the demand/buying side platform.

#MicrosoftAI

Product Management IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 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 $220,800 - $331,200 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.

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

Microsoft 소개

Microsoft

Microsoft

Public

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

10,001+

직원 수

Redmond

본사 위치

$3000B

기업 가치

리뷰

3.8

5개 리뷰

워라밸

4.1

보상

4.3

문화

3.4

커리어

3.2

경영진

3.0

65%

친구에게 추천

장점

Excellent compensation and benefits package

Four-day workweek with improved work-life balance

Supportive managers and teams

단점

High-pressure environment causing anxiety

Unprofessional interview processes

Limited creative work opportunities

연봉 정보

5,620개 데이터

Mid/L4

Principal/L7

Senior/L5

Staff/L6

VP

Director

Mid/L4 · Program Manager

0개 리포트

$191,472

총 연봉

기본급

$146,773

주식

$26,238

보너스

$18,461

$138,474

$273,204

면접 경험

1개 면접

난이도

4.0

/ 5

소요 기간

14-28주

경험

긍정 0%

보통 0%

부정 100%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit