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Principal Software Engineering Manager-Sharepoint AI Team

Microsoft

Principal Software Engineering Manager-Sharepoint AI Team

Microsoft

United States, Washington, Redmond

·

On-site

·

Full-time

·

4w ago

Compensation

$163,000 - $296,400

Required Skills

C

C++

C#

Java

JavaScript

Python

Leadership

Overview Come join the One Drive and Share Point AI Platform team and help us deliver the next generation of AI‑powered productivity experiences for hundreds of millions of users. With exabytes of customer content, One Drive and Share Point are core to collaboration across Microsoft 365. We build systems and experiences that let people work with content in new ways using large language models and generative AI, including Share Point’s AI mode for contextual understanding, reasoning, and action at scale.We are a fast‑paced, collaborative team across engineering, PM, design, research, and applied science. We’re seeking a Principal Engineering Manager to provide technical leadership in using modern AI tools to elevate customer experiences and accelerate software development
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- Lead vision, strategy, and execution for AI‑powered experiences across One Drive and Share Point.
  • Drive integration of LLMs and generative AI into platform capabilities, including Share Point’s AI mode.
  • Provide strong technical leadership across architecture, service design, and engineering practices.
  • Collaborate across engineering, PM, design, and research to deliver high‑quality, scalable features.
  • Foster an inclusive, collaborative team culture with a focus on growth, customer empathy, and engineering excellence.
  • Communicate clearly across organizational levels and influence teams through strong written and verbal communication.
  • Leverage cloud expertise (Azure, AWS, GCP) and modern service patterns (REST, RPC, JSON, GraphQL).
  • Establish best practices that improve reliability, scalability, and AI‑driven development workflows.

Qualifications Required Qualifications:

  • Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or PythonOR equivalent experience.
    Preferred Qualifications:- Master's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or PythonOR Bachelor's Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
  • 5+ years of software engineering people‑management experience.
  • 7+ years of experience launching and shipping multiple product iterations to customers.
  • 1+ years of experience with LLMs, orchestrators, embedding models, and vector databases.
  • Experience building AI/ML or generative‑AI–powered systems.
  • Proven ability to mentor and develop high‑performing engineering teams.
  • Strong customer empathy and product-thinking mindset.
  • Proven ability to deliver customer‑focused products at scale.
  • Excellent communication and cross‑team influence.

Software Engineering M6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 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 $220,800 - $331,200 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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About Microsoft

Microsoft

A software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.

10,001+

Employees

Redmond

Headquarters

$3000B

Valuation

Reviews

3.8

5 reviews

Work Life Balance

4.1

Compensation

4.3

Culture

3.4

Career

3.2

Management

3.0

65%

Recommend to a Friend

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

Junior/L3

Mid/L4

Junior/L3 · Advertising Client Success

2 reports

$163,358

total / year

Base

$141,875

Stock

-

Bonus

-

$163,358

$163,358

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