招聘
Required Skills
Product Management
Product Strategy
Roadmap Management
Communication
Overview Help shape the future of agentic AI collaboration.
In Microsoft Teams, AI experiences operate at massive global scale. That scale creates a rare opportunity: product decisions you drive can shape how people collaborate across organizations, industries, and geographies.
We’re hiring a Senior Product Manager to help define and deliver the next generation of AI meeting experiences in Teams, including the Facilitator agent for meetings. You’ll work closely with engineering, design, and applied science to ship experiences that are at the forefront of AI and designed for real-world collaboration.
This is a high-impact product role where you will drive product direction for AI-powered meeting experiences, with emphasis on how an agent shows up in real-time multi-party contexts, adapts appropriately to the situation, and delivers consistent value over time.
We’re looking for a growth-mindedPM who can navigate ambiguity, keep up with a fast-moving AI ecosystem, and translate emerging capabilities into crisp product direction and high-quality execution.
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.
- Responsibilities- Create and drive the product vision, strategy, and roadmap for AI-powered meeting experiences, including the Facilitator agent for meetings.
- Own the end-to-end experience: identify customer needs, define product requirements, and deliver high-craft user experiences in partnership with engineering, design, and applied science.
- Shape how agent behavior works in multi-party settings: define what “great” looks like, where the agent should help, and how it should adapt to different meeting contexts.
- Drive cross-team alignment and execution across multiple partners and disciplines—ensuring clear milestones, crisp communication, and measurable outcomes.
- Define success metrics and evaluation approaches; use data, customer insight, and experimentation to iterate and improve outcomes over time.
- Communicate product strategy and decisions effectively to stakeholders and senior leaders.
Qualifications Required Qualifications:
- Bachelor's Degree AND 2+ years experience in product/service/program management or software developmentOR equivalent experience.
- Demonstrated ability to define, ship, and iterate on user-facing products in complex, ambiguous environments.
- Solid product judgment and execution discipline (prioritization, prototyping, roadmap management, and delivery).
- Excellent written and verbal communication skills, including the ability to explain complex topics clearly to diverse audiences.
- Systems thinking: comfort reasoning about products that must work across diverse scenarios, users, and organizational environments.
Preferred Qualifications:- Bachelor's Degree AND 5+ years experience in product/service/program management or software developmentOR equivalent experience. - 2+ 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).
- 2+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product).
- Experience building or shipping AI-powered products (e.g., LLM features, agents, intelligent systems, or platform capabilities).
- Familiarity with human-AI interaction patterns, evaluation practices, feedback loops, and iterative product development in AI spaces.
- Passion for building experiences that work well for a wide range of people and collaboration styles.
#AI #Product Management #Microsoft Teams #Agents #LLM #GenAI
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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About Microsoft
Reviews
3.8
5 reviews
Work Life Balance
4.1
Compensation
4.3
Culture
3.4
Career
3.2
Management
3.0
65%
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Pros
Excellent compensation and benefits package
Four-day workweek with improved work-life balance
Supportive managers and teams
Cons
High-pressure environment causing anxiety
Unprofessional interview processes
Limited creative work opportunities
Salary Ranges
5,571 data points
Mid/L4
Principal/L7
Senior/L5
Staff/L6
VP
Director
Mid/L4 · Program Manager
0 reports
$191,472
total / year
Base
$146,773
Stock
$26,238
Bonus
$18,461
$138,474
$273,204
Interview Experience
7 interviews
Difficulty
3.7
/ 5
Duration
14-28 weeks
Offer Rate
14%
Experience
Positive 14%
Neutral 29%
Negative 57%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Technical Interview
5
Onsite/Virtual Interviews
6
Final Round
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
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