채용
Overview
Microsoft's AI Lab (MSI) is building the models that sit at the foundation of everything we do, and the world is paying attention. This is a rare seat at the table: you'll own the narrative for how MSI tells its story externally, shaping how researchers, customers, media, and the broader public understand what we're building and why it matters.
This isn't a support role. You'll be one of the primary writers behind MSI's external voice, from model launch campaigns and website copy to long-form thought leadership. You'll work alongside a lead storyteller (your manager) in the MAI Creative Studio and collaborate directly with researchers, PMs, and executives to translate highly technical work into stories that move people.
How We Work
You'll sit on a small writing team embedded within a large, fast-moving product organization. This means significant autonomy, direct access to leadership and researchers, and real ownership over the work — alongside the resources, reach, and cross-functional support that come with Microsoft.
Your manager is a lead storyteller with deep Copilot, brand, and product storytelling experience. The two of you will function as complements — brand system and model narrative — with a shared commitment to quality and a clean division of ownership.
Portfolio Note
We expect to see range. Show us something that required you to understand something hard before you could write about it. Show us a piece of launch copy you're proud of. Show us something short that landed.
We're less interested in volume than in evidence of craft, judgment, and a point of view.
Responsibilities Own the MAI narrative
- Lead external storytelling for MAI model launches, research milestones, and product moments end-to-end
- Develop and maintain MAI's editorial voice — distinct, credible, and human — across all content types
- Build and maintain a running narrative architecture: the key messages, proof points, and stories that anchor how MAI communicates externally
Write across the full content spectrum
- Website & launch copy — hero narratives, landing pages, product messaging frameworks
- Blog & thought leadership — long-form editorial that establishes MAI's point of view in the AI research landscape
- Video scripts & social — short-form content, launch trailers, explainers, and platform-native posts
Operate as a strategic partner, not just a writer
- Partner with researchers and technical leads to deeply understand what MSI is building — then decide what the world should care about and why
- Bring a GTM mindset: you think about audience, timing, channel, and impact, not just word count
- Collaborate with design, comms, and product marketing on integrated launch moments
Qualifications Required
-
3+ years proven writing or content design experience AND a certification, degree, or training in English, Writing, Human-centered Design, Literature, or related field OR equivalent experience.
-
1+ year(s) project leadership experience.
Preferred
- 5–8 years of professional writing experience, with meaningful time spent in AI, deep tech, or research-driven organizations
- A portfolio that spans formats — not just blog posts, but launch copy, exec comms, scripts, or campaign narratives
- Genuine technical fluency in AI/ML: you can read a research paper, follow a model architecture conversation, and know enough to ask the right questions
- A track record of making complex, abstract ideas feel clear and consequential, without dumbing them down
- Strong editorial judgment: you know what the story is before anyone tells you, and you can defend your choices
- Experience writing for or about a model lab or AI research organization (e.g. Anthropic, Deep Mind, OpenAI, FAIR, Google Brain)
- Experience writing CEO or C-suite communications at scale
- Comfort operating in ambiguity: this role will define its own shape, and that's a feature, not a bug
- Interest in growing into a leadership role over time as the MAI content function expands
Writing 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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Microsoft 소개

Microsoft
PublicMicrosoft 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
Senior/L5
Senior/L5 · Account Management
5개 리포트
$209,483
총 연봉
기본급
$181,941
주식
-
보너스
-
$194,895
$209,483
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
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