Technical Seo Manager

Snowflake Snowflake · Data AI · CA-Menlo Park, United States · Marketing

Snowflake is seeking a Technical SEO Manager to transform their search operations. This role involves architecting and scaling technical SEO operations from the ground up, shipping fixes, building custom tooling with Python and SQL on Snowflake products, and optimizing for AI (LLM) Discovery. The ideal candidate has strong technical SEO knowledge, web engineering experience, and a proven track record in performance optimization and log file analysis, with active experimentation in how LLMs and AI search agents interact with content.

What you'd actually do

  1. 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.
  2. Define Strategic OKRs: Establish high-impact objectives and key results, ensuring technical search performance directly moves the needle for Snowflake’s business goals.
  3. Communicate Impact: Lead monthly progress reviews, translating complex technical wins into clear, data-driven narratives for stakeholders.
  4. Master Site Speed & Core Web Vitals: Own the end-to-end performance lifecycle. Identify bottlenecks and work directly with web engineers to deploy fixes.
  5. Restructure Templates: Partner with UX and Engineering to re-engineer AEM templates, ensuring they are "search-native," accessible, and technically sound.

Skills

Required

  • Technical SEO
  • Web Engineering
  • SQL
  • Python
  • Enterprise SEO platforms (Lumar, Sitebulb, or OnCrawl)
  • Site Speed Optimization (LCP, INP, CLS)
  • Critical Rendering Path Analysis
  • JavaScript Execution Priorities
  • Raw Server Log Analysis
  • Crawl Budget Optimization
  • Indexing Bottleneck Diagnosis
  • Performance Dashboard Creation
  • Structured Data
  • Content Rendering Practices

Nice to have

  • Adobe Experience Manager (AEM)
  • Edge Computing
  • CDN optimization
  • Redirect logic
  • Image delivery optimization
  • Caching headers
  • Subdomain management
  • Website migrations
  • Schema markup

What the JD emphasized

  • transform Snowflake’s search operations
  • scale experiments across our global domains
  • architect our technical SEO operations from the ground up
  • You won’t just identify fixes; you’ll ship them
  • build the workflows that power our global strategy
  • build custom tooling and data pipelines
  • engineering the future of AI (LLM) Discovery
  • primary source of truth for the next generation of search
  • Own the Technical SEO Roadmap
  • Architect, prioritize, and execute a long-term technical roadmap
  • scales Snowflake’s global search footprint
  • Define Strategic OKRs
  • high-impact objectives and key results
  • technical search performance directly moves the needle
  • Master Site Speed & Core Web Vitals
  • Own the end-to-end performance lifecycle
  • work directly with web engineers to deploy fixes
  • Restructure Templates
  • re-engineer AEM templates
  • search-native
  • technically sound
  • Leverage Edge Computing
  • optimizing image delivery and caching headers
  • Manage Subdomains & Migrations
  • Lead the technical strategy for complex migrations and integrations
  • zero-loss equity and seamless indexing transitions
  • Analyze Log Files
  • rigorous log file analysis and index reporting
  • master our crawl budget
  • turning raw server data into actionable insights
  • Build Performance Dashboards
  • Maintain sophisticated SEO dashboards
  • monitor site health, indexing velocity, and Core Web Vitals in real-time
  • Optimize for AI (LLM)
  • discovery by AI agents and Large Language Models
  • 5+ years of experience in Technical SEO
  • background that views the web through the lens of a developer
  • master-level understanding of SEO fundamentals
  • Web Engineering experience is a plus
  • solid proficiency in SQL and Python
  • Deep experience with enterprise SEO platforms
  • Performance Track Record
  • Proven success in moving the needle on LCP, INP, and CLS
  • understanding the critical rendering path and JavaScript execution priorities
  • Expertise in raw server log interpretation
  • diagnose crawl budget waste and indexing bottlenecks
  • Experience building SEO performance dashboards
  • connect technical health to business performance
  • Active experimentation with how LLMs and AI-search agents (like Perplexity or Gemini) crawl and cite content
  • use of structured data and content rendering practices