채용
필수 스킬
Azure
Overview:
Job Overview
At Microsoft, we are building trusted, developer‑centric AI platforms that enable organizations to build, deploy, and operate AI systems at global scale. Microsoft Foundry is a unified platform for experimentation, training, deployment, monitoring, and governance of AI workloads. As a Principal Product Manager, you will be a senior contributor shaping priorities for critical company‑level AI platform surfaces, working in close partnership with other Principal PMs and engineering leaders. You will contribute to defining long‑term direction for next‑generation AI/ML and GenAI workloads, including custom code training, large‑scale distributed compute, developer‑facing APIs and SDKs, and enterprise‑grade governance and reliability. You will operate at company scale, influencing multiple product and engineering teams and partnering closely with senior
technical and business leaders. This role offers the opportunity to help define durable platform abstractions that unlock innovation for developers, data scientists, and ML engineers, while contributing to Microsoft’s long‑term AI platform direction.
Responsibilities:
Responsibilities:
- Act as a senior contributor to platform strategy for Azure AI Foundry and Azure ML, helping shape multi-year investments across model training, customization, deployment, and lifecycle management.
- Drive alignment and progress across federated, cross-organizational initiatives, working with peer Principal PMs and multiple engineering teams on shared platform outcomes.
- Contribute to the definition and evolution of high-leverage platform abstractions (APIs, SDKs, workflows) that enable scalable adoption of GenAI and custom code training workloads.
- Partner closely with senior engineering leaders to influence architectural direction, surface trade-offs, and ensure platform capabilities meet scale, reliability, and security expectations.
- Engage with strategic customers and internal stakeholders to gather insights, validate requirements, and translate learnings into durable, reusable platform capabilities.
- Use data, metrics, and experimentation to evaluate impact and inform product decisions across shared ownership areas.
- Serve as a thought leader and mentor, elevating product craft, platform thinking, and responsible AI practices across the organization.
Qualifications:
Must-have:
- Bachelor’s degree in engineering, computer science, or a related technical field.
- Significant experience (typically 8–12+ years) in product management or software engineering with substantial product ownership, including experience working on platform or infrastructure products.
- Demonstrated ability to operate effectively in large, ambiguous, multi‑team environments with shared ownership and complex dependencies.
- Strong technical depth in cloud platforms, distributed systems, or AI/ML infrastructure, with the ability to engage credibly with senior engineers and architects.
- Proven track record of influencing strategy, driving alignment, and delivering outcomes through collaboration rather than direct authority.
- Strong analytical and systems‑thinking skills, with experience making high‑quality decisions in fast‑moving, evolving problem spaces
Preferred:
- Experience building platforms for developers, data scientists, or ML engineers.
- Hands‑on exposure to AI/ML or GenAI workloads, including model training, customization, or serving.
- Experience contributing to platforms operating at global scale, including multi‑region or regulated enterprise environments.
- Experience with product‑led growth, extensibility, or ecosystem‑oriented platform design.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
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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Microsoft 소개

Microsoft
PublicMicrosoft 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
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