
Empowering every person and organization on the planet to achieve more.
Senior Product Manager
必备技能
Azure
Overview Overview At Microsoft, we bring together passionate innovators who imagine what’s possible, collaborate across boundaries, and build cloud-enabled futures. Within the broader CoreAI organization — which powers Azure AI, GitHub, Office, Teams, Xbox and more — our Foundry team is building the unified AI/ML platform that enables developers, data scientistsand ML Engineers everywhere to accelerate innovation. The AI Foundry & Azure ML team delivers a platform covering the full lifecycle: model creation, customization, deployment, monitoring and scaling. We empower both seasoned ML professionals and developers new to AI, to build responsibly and atglobal scale. We are seeking a Senior Product Manager with a strong technical foundation and product orientation to shape strategic investments in this platform. You will define and deliver the roadmap for key Azure AI capabilities, align cross-functional teams, and drive measurable outcomes that empower hundreds of millions of users.
- Responsibilities Responsibilities
- Define and drive the long-term product strategy for core AI platform capabilities that power Azure AI and developer experiences.
- Own end-to-end product outcomes, from strategy through execution, using OKRs and data insights to measure success.
- Lead cross-functional initiatives across engineering, design, and partner teams, driving alignment and clarity in complex, multi-team environments.
- Engage deeply with developers, data scientists, and enterprise customers to uncover needs, synthesize insights, and translate them into scalable product capabilities.
- Launch, iterate, and optimize high-impact features through experimentation and data-driven learning.
- Drive Product-Led Growth, enabling self-service adoption and expanding the developer ecosystem through extensible platform experiences.
- Mentor junior PMs and help strengthen product management practices across the CoreAI organization.
- Champion an inclusive, responsible AI culture that emphasizes customer trust, scalability, and innovation.
Qualifications Must-have:
- Bachelor’s degree (or equivalent) in engineering, computer science or related field.
- 6+ years in product management or software development with product responsibilities.At least 2 years leading the launch of complex products targeted at developers or ML/AI professionals.
- Deep curiosity about how developers build, and a drive to simplify complex workflows through great product experiences.
- Hands-on experience with AI/ML technologies and cloud platforms.
- Demonstrated track record of delivering products that resonate with technical audiences and drive measurable business outcomes.
- Strong analytical mindset and ability to make data-driven decisions.
- Excellent communication skills – able to engage both technical and non-technical stakeholders.
- Comfortable working in fast-paced, ambiguous environments and driving clarity through complexity. Preferred (nice-to-have):
- Master’s degree in a relevant field.
- Experience working in large-scale cloud or AI infrastructure teams.
- Experience with product-led growth models in a developer ecosystem. #aiplatform 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. 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. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work. Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
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
PublicMicrosoft 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
10条评价
4.4
10条评价
工作生活平衡
3.2
薪酬
4.1
企业文化
4.3
职业发展
3.8
管理层
4.0
82%
推荐率
优点
Cutting-edge technology and innovative projects
Great team culture and collaborative atmosphere
Excellent benefits and competitive compensation
缺点
Heavy workload and frequent overtime
High expectations and stressful environment
Bureaucratic processes can be slow
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
面试评价
1条评价
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
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