
AI safety company building reliable, interpretable AI systems.
Engineering Editorial Lead
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is looking for an Editorial Lead to own our engineering blog — one of the most visible ways we share how we build, what we learn, and why it matters. This is a role for someone who can bridge the gap between highly technical work and a broad, curious readership, turning complex engineering stories into posts that are rigorous, accessible, and compelling to read.
You’ll work closely with engineering and research teams to identify the stories worth telling, then lead the editorial process from first draft through to publication. This isn’t a role where you’ll be writing everything yourself — a big part of the job is drawing out great writing from engineers who have deep expertise, and helping them turn that expertise into something the wider world can learn from.
Responsibilities
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Define and maintain the editorial strategy for the engineering blog, including editorial calendar, content mix, and voice and tone guidelines
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Source and develop blog post ideas in collaboration with engineering and research teams, identifying work that is well-suited to external publication
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Edit posts end-to-end — from substantive feedback on structure and clarity through to line-level polish — while preserving technical accuracy and the author’s voice
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Coach and support engineers through the writing and revision process, helping produce strong drafts and building their confidence as contributors over time
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Work with engineering leadership and developer relations to ensure published content is coordinated with other developer content, aligns with team priorities, and is appropriately timed relative to product launches, research releases, or other milestones
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Coordinate with communications and marketing teams on promotion and audience strategy for published posts
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Coordinate with design on diagrams and visuals that support technical content
You may be a good fit if you
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Have 5+ years of editorial experience, with a strong track record of editing technical or complex content for broad audiences
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Are an exceptionally skilled editor — someone who can improve a piece significantly without losing what made it worth reading in the first place
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Have curiosity about engineering and technology, and can get up to speed quickly on new technical topics
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Are skilled at drawing out ideas from subject-matter experts and helping them articulate their thinking clearly on the page
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Can think strategically about content — not just individual posts, but how they collectively build a coherent picture of the organization’s engineering work
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Are comfortable working across teams and navigating the competing priorities that come with turning internal work into external-facing content
Strong candidates may also
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Have a background in technical writing, developer communications, or engineering
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Have experience running or significantly contributing to a technical blog or publication
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Be familiar with the AI and machine learning landscape, and how technical work in this space is communicated to practitioner and general audiences
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Have experience building or scaling editorial workflows — including processes for review, approval, and publication — within a fast-moving organisation
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Have a portfolio that demonstrates editing work on technically dense material
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:$255,000—$320,000 USD
Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
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关于Anthropic

Anthropic
Series FAnthropic PBC is an American artificial intelligence (AI) company headquartered in San Francisco. It has developed a range of large language models (LLMs) named Claude.
1,001-5,000
员工数
San Francisco
总部位置
$60B
企业估值
评价
10条评价
4.2
10条评价
工作生活平衡
2.8
薪酬
4.0
企业文化
4.2
职业发展
3.5
管理层
3.7
75%
推荐率
优点
Innovative and cutting-edge technology projects
Supportive and collaborative team environment
Good compensation and benefits
缺点
Poor work-life balance and long hours
Fast-paced and high-pressure environment
Limited career advancement opportunities
薪资范围
64个数据点
L2
L6
Mid/L4
L3
L4
L5
L2 · Business Operations L2
0份报告
$417,690
年薪总额
基本工资
$167,076
股票
$208,845
奖金
$41,769
$292,383
$542,997
面试评价
1条评价
难度
3.0
/ 5
体验
正面 0%
中性 0%
负面 100%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
AI/ML Knowledge
最新动态
Anthropic Company Reviews & WLB Discussions
4.8/5 overall rating. Compensation rated 4.9/5, Work-Life Balance rated 3.6/5 (lowest). Reports of 60+ hour weeks during peak periods.
blind
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Anthropic Interview Experience (Software Engineer Role)
Detailed interview experience covering coding assessment, system design, and culture fit. Notes interview difficulty and long process.
blind
·
Anthropic Interview Experience & Questions
35.2% positive interview experience. Difficulty rating 3.29/5. Average hiring timeline 20 days. Some report 'worst interview' with rude hiring managers.
glassdoor
·
Anthropic Reviews: Pros & Cons of Working At Anthropic
4.4/5 rating. 95% recommend to friend. Praised for mission-driven culture and compensation. Criticized for work-life balance and chaotic priorities.
glassdoor
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