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Senior Product Manager - Microsoft Foundry (CoreAI Efficiency)

Microsoft

Senior Product Manager - Microsoft Foundry (CoreAI Efficiency)

Microsoft

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

·

On-site

·

Full-time

·

1mo ago

필수 스킬

Go

Overview:

We are building the industry’s leading AI-first application stack with enhanced reliability, performance, and scale. Microsoft Foundry is redefining model-forward development with new UI/UX patterns, runtimes to build agents, orchestrating across multiple agents, and a reimagined management and observability layer.

We are a small, friendly, fast-moving team, we support each other to do the best work of our lives, always looking to break new ground, fast. We are proud of what we build, how we build it and that our products will define the AI agent era. We run lean, obsess about customers, and always make our decisions based on the evidence. We ship regularly, so your work will have real and immediate impact. It’s a time of huge change in the AI landscape, and this role will put you right in the heart of it.

Responsibilities:

Join the Microsoft Foundry team as we redefine the build, deploy, operate loop for generative AI development and accelerate the next wave of innovation. We are building the industry’s leading model serving platform, empowering customer applications and agents with unmatched reliability, efficiency, performance, and flexibility.

We are looking for a Senior Product Manager to plan, build and launch product offerings which maximize inference utilization. In this role, you will lead efforts to scale our model serving platform and leverage off-peak and underutilized capacity to deliver innovative, cost-efficient AI services. You will work at the intersection of advanced technology and market needs – optimizing our internal capacity usage while developing flexible offerings that provide value to customers.

Responsibilities:

  • Develop the product offerings that increase overall fleet utilization while delivering cost-effective, high-performance solutions for customers.

  • Identify high-impact opportunities to increase inference efficiency and growth across internal and external customer segments.

  • Define and track efficiency metrics, manage dependencies, and lead experimentation to drive Microsoft Foundry product growth and infrastructure utilization.

  • Develop creative programs and pricing/incentive models to encourage usage during non-peak periods and to onboard new customers, ultimately driving up platform usage and revenue.

  • Collaborate with engineering, data science, finance, marketing, and go-to-market teams to deliver integrated solutions.

  • Develop compelling product narratives and performance dashboards for executive-level communication and decision-making.

  • Provide clarity in ambiguous environments, influence stakeholders, and foster a culture of innovation and accountability

Qualifications:

Required Qualifications:

  • Bachelor’s Degree AND 5+ years experience in product/service/project/program management or software development OR equivalent experience.

Preferred Qualifications:

  • 3+ years of experience in product development. Including delivering one or more AI, cloud services, enterprise grade solutions, and mobile apps.

  • Proven success in launching and scaling multi-million dollar revenue products, ideally in AI, ML, or platform domains.

  • Background in enterprise compliance requirements.

  • Product led growth focus with data-driven decision-making skills.

  • Excellent executive presence and stakeholder management capabilities.

  • Experience leading cross-functional teams and managing complex dependencies.

  • Ability to thrive in fast-paced environments with a bias for action.

Product Management IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 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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모의 지원자 수

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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