at Anthropic
Location
San Francisco, CA | New York City, NY
Compensation
$255k–$320k USD
Type
full time
Posted
4 months ago
Remote
Yes
Market range · company + function + seniority
p25 · target · p75 · n=25
Posted $320k · in the market band
Posting health
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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.
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.
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
Have 8+ 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
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
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.
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.
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.
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
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