Used Tools & Technologies
Machine LearningRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
SEO @ 4
Marketing @ 4
Semrush @ 4
Data Science @ 4
Leadership @ 4
Communication @ 7
HTML @ 6
JavaScript @ 7
CSS @ 6
Web Development @ 3
Search Engines @ 4
HTTP @ 7
Experimentation @ 4
JSON @ 4
Cloudflare @ 4
Project Management @ 7
Google Analytics @ 4
Reporting @ 4
LLM @ 4
Audit @ 4
Observability @ 4
AI @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Anthropic is seeking an SEO Lead to own organic search strategy and technical SEO infrastructure across multiple web properties (claude.ai, docs.anthropic.com, anthropic.com). This is a hands-on individual contributor role at the intersection of marketing, engineering, and data. The role involves defining and executing a technical SEO roadmap, driving site experimentation and conversion optimization, and partnering with engineering, content, and analytics teams to scale organic discovery. The position will also help define strategy for emerging search experiences such as AI Overviews and other LLM-powered/answer-engine search experiences.
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 for developers, enterprise decision-makers, and prosumers
- 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 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 (GA4, BigQuery, Hex) to track search visibility, rankings, and organic traffic
- Conduct regular technical audits using Screaming Frog, Ahrefs, SEMrush, and Google Search Console
- Design, execute, and analyze A/B and multivariate experiments across key conversion flows using experimentation platforms like Statsig
- Define experiment hypotheses, ensure statistical rigor in test design and analysis, and translate results into 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 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 stakeholders
Requirements
- 8+ years of technical SEO experience, ideally at a developer tools, SaaS, or technical product company
- Deep understanding of how search engines crawl, render, and index JavaScript-heavy sites and static site generators
- Expertise in complex technical SEO challenges: site migrations, canonicalization, redirect strategies, and duplicate content resolution
- Strong knowledge of HTTP status codes, CDN configuration, DNS, and web infrastructure
- Proficiency with HTML and CSS, with ability to review code for SEO issues
- Hands-on experience with SEO tools (Screaming Frog, Ahrefs, SEMrush) and Google Search Console, including log file analysis and crawl budget optimization
- Experience optimizing documentation sites and technical content for developer audiences
- Data-driven approach using analytics and crawl data to prioritize SEO opportunities
- Experience running controlled experiments on websites, with understanding of statistical significance and test design
- Strong project management and cross-functional communication skills
Strong candidates may also have
- 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 (JSON-LD)
- Background in B2B SaaS, developer tools, or AI/ML products
- Experience with international SEO and multilingual content optimization
- Understanding of Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO)
Logistics
- Annual salary range: $255,000 - $320,000 USD
- Minimum education: Bachelor’s degree or equivalent combination of education, training, and/or experience
- Location-based hybrid policy: staff expected to be in one of Anthropic's offices at least 25% of the time
- Visa sponsorship: Anthropic states they do sponsor visas and retain an immigration lawyer to assist with visa offers
Benefits
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Office space for collaboration