Design Engineer, Web

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. 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. We're looking for a senior Design Engineer to join our Brand Web team, working at the intersection of design and engineering to shape how Anthropic's web properties get built. In this role, you'll own significant surfaces of anthropic.com and claude.com — from interactive marketing pages and data visualization systems to the internal tooling that keeps our content operations running at scale. You'll work as a peer to designers, engineers, and brand and content teams across the company, setting technical direction on the work you lead and partnering with platform and product engineering teams on the infrastructure that underpins it. We're actively growing the engineering function on the Web team, and you'll help shape how it operates as it scales. Rapid prototyping is core to how we work, and you'll be expected to move from concept to production with both speed and craft. 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. · Make and document 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. You may be a good fit if you · Have deep experience building and shipping production web properties at scale, including ownership of architecture decisions and the consequences of them in production. · Are 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. · Have led work on headless CMS platforms. Not just used them, but shaped the content model, the publishing experience, and the operational governance around them. · Have 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. · Have 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. Strong candidates may also have · 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. 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 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 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.