Senior Technical SEO Engineer AI-Driven, Data-PoweredSnowflake Computing • San Francisco, California, United States

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Senior Technical SEO Engineer AI-Driven, Data-Powered

Snowflake Computing

San Francisco, California, United States

San Francisco, California, United States

À propos

Requirements This is not your typical SEO role; we are looking for a candidate with strong knowledge in Technical SEO and an experienced background, while having some hands on web engineering experience , 5+ years of experience in Technical SEO with a background that views the web through the lens of a developer , A master-level understanding of SEO fundamentals (canonicals, hreflang, crawl depth, crawl foldering etc.) , Web Engineering experience is a plus with solid proficiency in SQL and Python , Tooling Expertise: Deep experience with enterprise SEO platforms such as Lumar, Sitebulb, or OnCrawl , Performance Track Record: Proven success in moving the needle on LCP, INP, and CLS by understanding the critical rendering path and JavaScript execution priorities , Expertise in raw server log interpretation to diagnose crawl budget waste and indexing bottlenecks , Experience building SEO performance dashboards that connect technical health to business performance , Active experimentation with how LLMs and AI-search agents (like Perplexity or Gemini) crawl and cite content, including the use of structured data and content rendering practices What the job involves We’re seeking a Technical SEO Engineer to transform Snowflake’s search operations , Forget the "audit and recommend" loop—this is a role where you’ll scale experiments across our global domains, and architect our technical SEO operations from the ground up , You won’t just identify fixes; you’ll ship them. From optimizing Adobe Experience Manager (AEM) for peak site speed to performing deep log file analysis, you will build the workflows that power our global strategy , You’ll have the autonomy to leverage Python and SQL within our own Snowflake products to build custom tooling and data pipelines , In this role, you aren’t just optimizing for traditional crawlers; you are engineering the future of AI (LLM) Discovery, ensuring Snowflake remains the primary source of truth for the next generation of search , Own the Technical SEO Roadmap: Architect, prioritize, and execute a long-term technical roadmap that eliminates technical debt and scales Snowflake’s global search footprint , Define Strategic OKRs: Establish high-impact objectives and key results, ensuring technical search performance directly moves the needle for Snowflake’s business goals , Communicate Impact: Lead monthly progress reviews, translating complex technical wins into clear, data-driven narratives for stakeholders , Master Site Speed & Core Web Vitals: Own the end-to-end performance lifecycle. Identify bottlenecks and work directly with web engineers to deploy fixes , Restructure Templates: Partner with UX and Engineering to re-engineer AEM templates, ensuring they are "search-native," accessible, and technically sound , Leverage Edge Computing: Partner with our server and CDN vendor to identify "Edge" opportunities, including managing redirect logic and optimizing image delivery and caching headers , Manage Subdomains & Migrations: Lead the technical strategy for complex migrations and integrations, ensuring zero-loss equity and seamless indexing transitions , Analyze Log Files: Conduct rigorous log file analysis and index reporting to master our crawl budget, turning raw server data into actionable insights , Build Performance Dashboards: Maintain sophisticated SEO dashboards (using SQL and Python) to monitor site health, indexing velocity, and Core Web Vitals in real-time , Optimize for AI (LLM): Ensure our architecture—from schema markup to content accessibility—is optimized for discovery by AI agents and Large Language Models
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San Francisco, California, United States

Compétences linguistiques

English

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