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Senior Technical SEO Engineer — AI-Driven, Data-Powered

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Snowflake
Full Time position
Listed on 2026-07-01
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Engineering, SEO, Data Analyst
Job Description & How to Apply Below

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 On Crawl
  • ,
  • 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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Position Requirements
10+ Years work experience
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