refresh

トレンド企業

トレンド企業

採用

求人Microsoft

Principal Product Manager, Agentic Experiences

Microsoft

Principal Product Manager, Agentic Experiences

Microsoft

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

·

On-site

·

Full-time

·

3mo ago

報酬

$139,900 - $274,800

必須スキル

Product Management

Software Development

Overview:

Lead the vision and execution for next-generation agentic AI products—designing generative experiences that go far beyond chatbots and simple agents. As a Principal Product Manager (PM) for the Agentic AI team, you’ll architect solutions that reason, plan, and act across applications, the web, and the OS, empowering users to accomplish complex tasks with intelligence and reliability. You’ll join a high-impact team dedicated to translating breakthrough model research into transformative products for Copilot, Bing, Edge, M365, and Azure. The Agentic Experiences team thrives on rapid innovation, cross-functional collaboration, and a culture that values curiosity, autonomy, and bold problem-solving. We seek PMs who have shipped 0-to-1 agentic products at leading AI startups or labs, driven growth or mindshare in the AI space, and excel in fast-paced, ambiguous environments. If you’re energized by building the future of generative AI experiences and want to shape how intelligent agents empower millions, we want to hear from you. 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- Identify user workflows where AI adds clear value, basing decisions on data and user feedback.

  • Turn model capabilities into specific product features, define MVPs, and refine them using user and business metrics.

  • Work directly with research, engineering, and design to turn AI research into practical products that scale and serve users well.

  • Create and use evaluation methods to track product quality, user experience, and safety throughout development.

  • Set up data processes for sourcing, labeling, and using data to boost model and product performance.

  • Work with infrastructure and platform teams to balance capability, speed, cost, and reliability for scalable products.

  • Write clear documents to keep stakeholders aligned on product goals, priorities, and decisions.

  • Promote adoption by showing how technical features translate into user benefits and growth.

  • Make informed decisions in uncertain situations, manage risks and incidents, and support continuous improvement through postmortem review

  • Qualifications Required Qualifications

  • Bachelor's Degree AND 8+ years’ experience in product management or software development OR equivalent experience.
    Preferred Qualifications- 5+ years of experience launching 0-to-1 products (from concept to market) in a consumer-facing product environment.

  • 3+ years of experience building products that leverage AI/ML technologies.

  • Experience managing and shipping 0-to-1 agentic products in an AI lab or an AI-focused startup.

  • Proven track record of collaborating with cross-functional teams (engineering, design, research) to deliver user-facing features.

  • Familiarity with experimentation tools, data analytics, and working knowledge of SQL or coding (Python, JavaScript).

  • Effective collaboration and communication skills with a bias for action and inclusion.

Product Management IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 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 $188,000 - $304,200 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.

総閲覧数

0

応募クリック数

0

模擬応募者数

0

スクラップ

0

Microsoftについて

Microsoft

Microsoft

Public

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

10,001+

従業員数

Redmond

本社所在地

$3000B

企業価値

レビュー

3.8

5件のレビュー

ワークライフバランス

4.1

報酬

4.3

企業文化

3.4

キャリア

3.2

経営陣

3.0

65%

友人に勧める

良い点

Excellent compensation and benefits package

Four-day workweek with improved work-life balance

Supportive managers and teams

改善点

High-pressure environment causing anxiety

Unprofessional interview processes

Limited creative work opportunities

給与レンジ

5,620件のデータ

Mid/L4

Principal/L7

Senior/L5

Staff/L6

VP

Director

Mid/L4 · Program Manager

0件のレポート

$191,472

年収総額

基本給

$146,773

ストック

$26,238

ボーナス

$18,461

$138,474

$273,204

面接体験

1件の面接

難易度

4.0

/ 5

期間

14-28週間

体験

ポジティブ 0%

普通 0%

ネガティブ 100%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

よくある質問

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit