Engineering Editorial Lead

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.

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.

You may be a good fit if you

Strong candidates may also

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.

• Define and maintain the editorial strategy for the engineering blog, including editorial calendar, content mix, and voice and tone guidelines
• Source and develop blog post ideas in collaboration with engineering and research teams, identifying work that is well-suited to external publication
• 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
• Coach and support engineers through the writing and revision process, helping produce strong drafts and building their confidence as contributors over time
• 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
• Coordinate with communications and marketing teams on promotion and audience strategy for published posts
• Coordinate with design on diagrams and visuals that support technical content
• Have 5+ years of editorial experience, with a strong track record of editing technical or complex content for broad audiences
• Are an exceptionally skilled editor — someone who can improve a piece significantly without losing what made it worth reading in the first place
• Have curiosity about engineering and technology, and can get up to speed quickly on new technical topics
• Are skilled at drawing out ideas from subject-matter experts and helping them articulate their thinking clearly on the page
• Can think strategically about content — not just individual posts, but how they collectively build a coherent picture of the organization’s engineering work
• Are comfortable working across teams and navigating the competing priorities that come with turning internal work into external-facing content
• Have a background in technical writing, developer communications, or engineering
• Have experience running or significantly contributing to a technical blog or publication
• Be familiar with the AI and machine learning landscape, and how technical work in this space is communicated to practitioner and general audiences
• Have experience building or scaling editorial workflows — including processes for review, approval, and publication — within a fast-moving organisation
• Have a portfolio that demonstrates editing work on technically dense material

$255,000—$320,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

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.