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채용Microsoft

Principal Product Manager, AI Multimodal

Microsoft

Principal Product Manager, AI Multimodal

Microsoft

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

·

On-site

·

Full-time

·

3mo ago

보상

$139,900 - $274,800

필수 스킬

Product Management

Software Development

Overview:

At Microsoft AI, we are on a mission to train the world’s most capable AI frontier models, pushing the boundaries of scale, performance, and product deployment. We’re tackling some of the most challenging problems in deep learning at scale. As a team, we will deliver one of the best foundation models in the world, forming the foundation of many initiatives across Microsoft AI. As a Product Manager, AI Multimodal, you will work at the nexus of product and research. Your products are the language and multimodal models that power Microsoft Copilot. You will be responsible for balancing product needs with research priorities, ensuring that Copilot’s messages are high quality, factual and safe. You will also be responsible for prioritizing new features and research, working closely with AI researchers to build and execute project plans. In particular, we are looking for candidates who:

  • Deeply understand the pipeline of collecting data, training and then serving language models and multimodal models

  • Have experience in working side-by-side with researchers and engineers

  • Thrive in a fast-paced, innovative environment

  • Are passionate about managing high stakes time-sensitive large-scale programs

  • Take the initiative and enjoys finding paths through complexity in a fast-paced environment

  • Are comfortable owning projects that span offices, teams and time zones, can co-ordinate different workstreams, and drive to relentlessly unblock progress

  • Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies
    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. Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

  • Responsibilities- Identifying and prioritizing language and multimodal model issues and working with researchers to find a path to resolution.

  • Creating novel data collection tasks for taskers to evaluate models and to collect training data for fine-tuning.

  • Creating model prototypes to prove out new feature directions and scope projects.

  • Engineering prompts to teach models how to behave across a wide range of scenarios.

  • Working closely with researchers and engineers to define and manage engineering and research projects.

  • Deploying and tracking AB model experiments in production

  • Foster a culture of collaboration, continuous improvement, and growth.

  • Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback

  • Advance the AI frontier responsibly

  • Embody our culture and values.

Qualifications Required/Minimum Qualifications:

  • Bachelor’s Degree AND 8+ year's experience in product management or software development OR equivalent experience.
    Preferred Qualifications: - Experience managing cross-functional and/or cross-team projects.
  • Proven track record as a product manager with firsthand experience evaluating and deploying LLMs into production.
  • Experience working side-by-side with Researchers and/or Engineers

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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모의 지원자 수

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Microsoft 소개

Microsoft

Microsoft

Public

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

10,001+

직원 수

Redmond

본사 위치

$3000B

기업 가치

리뷰

3.8

5개 리뷰

워라밸

4.1

보상

4.3

문화

3.4

커리어

3.2

경영진

3.0

65%

친구에게 추천

장점

Excellent compensation and benefits package

Four-day workweek with improved work-life balance

Supportive managers and teams

단점

High-pressure environment causing anxiety

Unprofessional interview processes

Limited creative work opportunities

연봉 정보

5,620개 데이터

Mid/L4

Principal/L7

Senior/L5

Staff/L6

VP

Director

Mid/L4 · Program Manager

0개 리포트

$191,472

총 연봉

기본급

$146,773

주식

$26,238

보너스

$18,461

$138,474

$273,204

면접 경험

1개 면접

난이도

4.0

/ 5

소요 기간

14-28주

경험

긍정 0%

보통 0%

부정 100%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit