SEO Lead

Anthropic•San Francisco, CA

1d•Hybrid

About The Position

We're looking for an SEO Lead to join Anthropic's growing marketing team. You'll own organic search strategy and technical SEO infrastructure across Anthropic's web properties — including claude.ai, docs.anthropic.com, and anthropic.com — ensuring our products and developer resources are discoverable, performant, and well-positioned in an evolving search landscape. This is a high-impact, hands-on individual contributor role at the intersection of marketing, engineering, and data. You'll independently define and execute the technical SEO roadmap, drive site experimentation and conversion optimization, and make strategic recommendations that shape how we invest in organic growth. You'll partner closely with engineering, content, and analytics teams to scale organic discovery — operating with a high degree of autonomy while keeping cross-functional stakeholders aligned. As AI reshapes how people search for and discover information, you'll also help define our strategy for emerging search experiences like AI Overviews and answer engines. This role is ideal for someone who thrives in fast-moving, technically complex environments — and who is energized by the opportunity to build foundational SEO infrastructure at a company whose products are at the forefront of AI.

Requirements

Have 5+ years of technical SEO experience, ideally at a developer tools, SaaS, or technical product company
Have deep understanding of how search engines crawl, render, and index JavaScript-heavy sites and static site generators
Have expertise in complex technical SEO challenges: site migrations, canonicalization, redirect strategies, and duplicate content resolution
Have strong knowledge of HTTP status codes, CDN configuration, DNS, and web infrastructure
Are proficient with HTML and CSS, with the ability to review code for SEO issues
Have hands-on experience with SEO tools (Screaming Frog, Ahrefs, SEMrush) and Google Search Console, including log file analysis and crawl budget optimization
Have experience optimizing documentation sites and technical content for developer audiences
Take a data-driven approach to identifying and prioritizing SEO opportunities using analytics and crawl data
Have experience running controlled experiments on websites, with a solid understanding of statistical significance, sample sizing, and test design
Have strong project management skills and can manage multiple technical initiatives simultaneously
Communicate effectively and can influence cross-functional stakeholders, including engineering teams
Are excited about Anthropic's mission to develop AI that is safe, beneficial, and steerable

Nice To Haves

Experience with documentation platforms (Mintlify, Docusaurus, GitBook, ReadMe)
Familiarity with JavaScript frameworks and modern web development stacks
Experience with Cloudflare CDN configuration and optimization
Knowledge of Segment, BigQuery, Google Analytics 4, Hex, or similar data infrastructure
Experience with schema markup and structured data implementation (JSON-LD)
Background in B2B SaaS, developer tools, or AI/ML products
Understanding of developer search behavior and technical content discovery patterns
Experience with international SEO and multilingual content optimization
Experience scaling SEO programs — establishing processes, building infrastructure, and enabling teams
Understanding of Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) strategies for LLM-powered search
Experience optimizing content for AI Overviews, featured snippets, and entity-based search results

Responsibilities

Technical SEO Strategy & Infrastructure
Own technical SEO strategy and execution across all Anthropic web properties
Implement and maintain sitemaps, structured data (JSON-LD), canonical tags, redirect strategies, and robots.txt across multiple domains
Optimize site speed, mobile performance, and Core Web Vitals across documentation and marketing properties
Monitor crawl efficiency, indexing status, and search performance using Google Search Console and log file analysis
Establish SEO observability and monitoring infrastructure with automated alerting for technical issues
Develop and maintain the SEO playbook for international expansion, including hreflang implementation and localized content optimization
Documentation & Content Optimization
Build and own the content roadmap — spanning developers, enterprise decision-makers, and prosumers — to support organic discovery of our core products by partnering with product marketing, developer relations, education teams, and more
Audit and optimize documentation search rankings and information architecture for developer-focused content
Partner with engineering teams on documentation platform configuration and optimization
Build SEO best practices directly into content management and documentation workflows
Optimize content structure and markup for AI Overviews and other LLM-powered search experiences
Analytics, Experimentation & Performance
Build and maintain dashboards (Google Analytics 4, BigQuery, Hex) to track search visibility, rankings, and organic traffic
Conduct regular technical audits using tools like Screaming Frog, Ahrefs, SEMrush, and Google Search Console
Design, execute, and analyze A/B and multivariate experiments across key conversion flows (signup, onboarding, upgrade) using experimentation platforms like Statsig
Define experiment hypotheses, ensure statistical rigor in test design and analysis, and translate results into actionable recommendations
Monitor and analyze performance in AI-powered search environments, including AI Overviews and other answer engines
Cross-Functional Partnership
Collaborate with engineering teams on platform implementation, CDN configuration, and web infrastructure decisions
Partner with content and product marketing teams on information architecture, content strategy, and messaging optimization for search intent
Coordinate with data science and analytics on measurement, reporting, and user behavior insights
Present SEO performance, experiment results, and strategic recommendations to leadership and cross-functional stakeholders