Design Engineer, Web

About the role

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 Anthropic

The Creative Studio is Anthropic's in-house creative team responsible for the brand expression across Anthropic and Claude. We care about craft, making things by hand and using AI when it makes sense.

Responsibilities

• Own the architecture and implementation of significant surfaces of claude.com and/or anthropic.com, including design system code, page templates, interactive experiences, and data visualization systems. Set the technical direction, not just deliver against it.
• Lead the technical side of major web initiatives end-to-end, such as migrations, redesigns, and new product surfaces, including scoping, architecture decisions, partner coordination, and shipping.
• Define and evolve our headless CMS architecture, including content modeling, structured data workflows, editorial governance in code, and the systems that make the CMS usable by non-engineers across the company.
• Build creative tooling and internal systems that change how the team works: Claude-powered design system tools, page generators, content workflows, and MCP integrations. This is where the team's leverage compounds, and we expect this role to actively grow it.
• Partner directly with Web Platforms, Security, and Growth Product Engineering on the surfaces that span teams: deployments, performance, technical SEO, experimentation infrastructure, and incident response. Be the technical owner those teams partner with on our behalf.
• Made and documented architecture and technical standards decisions: framework choices, performance budgets, accessibility implementation, code quality, and frontend infrastructure. Raise the bar on craft for engineers across the team.
• Build and evolve the localization infrastructure that supports our growing international presence, including content modeling for translation workflows, integration with translation vendors, and the patterns that make localized pages performant and maintainable across markets.
• Mentor mid-level engineers and contribute to hiring. As the team grows, this role should be one of the technical leaders shaping how we work.

Qualifications

• Deep experience building and shipping production web properties at scale, including ownership of architecture decisions and the consequences of them in production.
• Experts in modern frontend frameworks (Next.js / React) and have strong opinions about when to use them, when not to, and how to structure them for long-lived sites.
• Led work on headless CMS platforms. Not just used them, but shaped the content model, the publishing experience, and the operational governance around them.
• Built internal tools and creative tooling that other people on a team came to depend on. The work you're most proud of is probably something that didn't exist before you decided it should.
• Operate as a peer to platform, security, and product engineering teams. You know how to partner across orgs on shared infrastructure without losing the design and craft sensibility that makes web work distinct.
• Move fluidly between hands-on building, technical direction-setting, and explaining tradeoffs to non-technical partners. You can write the code, decide what should be built, and defend the decision in a room of designers, PMs, and engineers.
• Care about design and craft at a level that shows up in your work. Refined typography, deliberate motion, and considered interaction are not afterthoughts for you.
• Shipped localized web properties at production scale, with hands-on experience in the content modeling, tooling, and workflow decisions that make localization sustainable rather than a one-time project.

Preferred Qualifications

• Built AI-powered creative tooling or developer tooling with real adoption, such as MCP servers, Claude skills, design system generators, or content workflows.
• Player-coach or technical lead experience, including code review, mentorship, hiring, and setting engineering standards.
• Deep experience with performance and Core Web Vitals on content-heavy marketing sites, including the architectural decisions that keep those numbers sustainable.

Location-based hybrid policy

We currently 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.

Annual Compensation Range

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: $305,000 - $385,000 USD

Minimum Education

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

Required Field of Study

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

Minimum Years of Experience

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

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.

Research Shows

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.

Our Mission

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.

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.

Work Culture

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.