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职位Microsoft

Principal Product Manager

Microsoft

Principal Product Manager

Microsoft

United States, Washington, Redmond

·

On-site

·

Full-time

·

2w ago

Overview:

Microsoft AI (MAI) is a customer‑first organization building AI‑powered products that help people and businesses achieve more. As the world undergoes a profound AI platform shift, we are looking for product leaders who can operate several steps ahead—anticipating what the future will demand and translating that vision into clarity, strategy, and execution today.

As a team, we play a central role in discovery, crawling, selection, document processing & aggregation of web graph. Work in our team is unique in that you'll be able to work with trillions of documents, which pushes the boundaries of our infrastructure and computational resources. Moreover, it provides interesting challenges that haven't been encountered before, thereby combining research and product applications.

We are looking for the best and brightest to join our team and help us apply the next generation of LLM, NLP, deep learning, large scale distributed systems and informational retrieval techniques. As a Principal Product Manager, you will lead the coordination between the Search Platform team and MAI Super-Intelligence team to build scalable and high-quality training pipelines. The candidate will focus on defining KPIs for success, doing deep data analysis, writing product specifications and delivering complex large projects.

This is a highly collaborative, cross‑functional role ideal for someone who thrives in operational complexity, is deeply organized, and loves working at the intersection of people, process, and product quality. You will partner closely with engineering, research, design, data science, legal, privacy, and security teams to build compliant, scalable, high‑quality AI systems that serve hundreds of millions of users.

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.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

  • Responsibilities- Strategy & Vision Define the multi‑year product vision and strategy for MAI’s Training Pipelines, related Success metrics, Feedback loops, and Testing mechanisms.
  • Create strategies for collecting training data for next generation documents, understanding models that are multi-modal and non-HTML like PDF.
  • Execution & Delivery Define success criteria, OKRs, and KPIs across multiple product surfaces and organizational boundaries.
  • Establish methodologies for Deep Learning and AI infrastructure and platform support than engineers can use.
  • Drive platform architecture decisions in partnership with engineering and research teams.
  • Plan, size, and continuously optimize capacity (compute, storage, data throughput, and cost) to build, scale, and operate training pipelines reliably.
  • Cross‑Functional Leadership Partner with Legal, Privacy, Security, HR, and Compliance teams to ensure platforms are compliant‑by‑design.
  • Collaborate with teams across Microsoft that need training data.
  • Define and evangelize processes for developers and researchers to improve labeling workflows, model‑as‑a‑judge systems, and agentic evaluation pipelines.
  • Innovation & Technical Depth Research, design, and operationalize new evaluation techniques and metrics that improve the quality and reliability of LLM and ML‑based products.
  • Go deep into new technical areas quickly and provide clarity to engineering teams on requirements, architecture, and tradeoffs.

Qualifications:

Required Qualifications:

  • Bachelor's Degree AND 8+ years experience in product/service/program management or software developmentOR equivalent experience.

Preferred Qualifications:

  • Bachelor's Degree AND 12+ years experience in product/service/program management or software development OR equivalent experience.
  • 4+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework).
  • 6+ 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).
  • 6+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product).
  • Outstanding Analytical skills.
  • Experience in writing good detailed technical specifications for all new features.
  • Good Understanding of LLM, Big Data, Machine Learning, and Data Mining.
  • Understanding of Security, Privacy and Compliance practices.
  • Attention to detail, planning, organization, and project management skills .
  • Ability to quickly adapt to new technology and go deep in new focus areas.
  • Excellent oral and written communication skills with the ability to collaborate effectively with a large number of partners and customers and translate requirements into a product vision and roadmap.

#MicrosoftAI #Product Leadership #AIProduct Management #AgenticAI #LLM #AIPlatforms #Evaluation Systems #ResponsibleAI #Tech Leadership #Microsoft Careers #Machine Learning #Model Training #AITraining #MLOps

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.

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关于Microsoft

Microsoft

Microsoft

Public

Microsoft 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

3.8

5条评价

工作生活平衡

4.1

薪酬

4.3

企业文化

3.4

职业发展

3.2

管理层

3.0

65%

推荐给朋友

优点

Excellent compensation and benefits package

Four-day workweek with improved work-life balance

Supportive managers and teams

缺点

High-pressure environment causing anxiety

Unprofessional interview processes

Limited creative work opportunities

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

面试经验

7次面试

难度

3.7

/ 5

时长

14-28周

录用率

14%

体验

正面 14%

中性 29%

负面 57%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Technical Interview

5

Onsite/Virtual Interviews

6

Final Round

7

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience