Q

Qualtrics

Experience Management platform with AI analytics

Technical SEO Specialist

SEO MarketingConfirmed live in the last 24 hours
Full-timeReston, VA, USA

About the Job

Requirements

  • At least 5 years of SEO experience, with most of that time in technical SEO.
  • Demonstrated ownership of technical SEO for a large, complex website with thousands of pages or more, multiple templates, and multiple stakeholders.
  • Hands-on fluency with Google Search Console, an enterprise crawler such as Screaming Frog, Botify, or Lumar, and a web analytics platform.
  • Working knowledge of HTML, CSS, JavaScript, and HTTP sufficient to read source code, understand rendering, and explain required changes.
  • Practical command of structured data and schema implementation.
  • Direct experience driving technical work through an engineering team, including writing actionable tickets and specifications.
  • Experience diagnosing and remediating Core Web Vitals and page performance issues.
  • Evidence of work on AI or generative search visibility, or a clearly articulated perspective on its effect on technical SEO practice.
  • Clear written communication for producing material that other teams can act on.

Responsibilities

  • Own crawl and index health end to end, including crawl budget, indexation directives, sitemaps, robots directives, orphaned pages, broken and redirecting internal links, and error remediation.
  • Own site architecture and internal linking as a system, including how authority moves through the site and whether important pages are prioritized.
  • Run page performance as an ongoing program by monitoring Core Web Vitals across page templates, diagnosing LCP, INP, and CLS regressions, and driving prioritized actions with engineering.
  • Lead technical SEO for migrations, rebrands, domain consolidations, and content deprecations, including redirect mapping, pre-launch quality assurance, and post-launch monitoring.
  • Own the structured data roadmap by auditing coverage, prioritizing opportunities, and shipping improvements in phases.
  • Build and maintain the entity model connecting the brand, products, people, and content so machines can resolve them unambiguously.
  • Ensure content hierarchy, markup, and metadata communicate what pages are about to search engines and the retrieval layers behind AI-generated answers.
  • Own hreflang, canonical strategy, and localized site structure across languages and regions.
  • Diagnose and resolve cross-locale cannibalization and duplication.
  • Build the approach to visibility in AI-assisted search, including how the company is found, understood, cited, and represented in AI-generated answers.
  • Set crawler policy for AI and large language model agents, balancing visibility against control.
  • Track changes in retrieval and citation mechanics and adjust the technical approach before impacts appear in traffic.
  • Act as the technical SEO counterpart to web engineering by writing specifications, sizing effort collaboratively, and shepherding work through the backlog to release.
  • Embed SEO requirements into content management system templates, component libraries, and the standard pre-launch quality assurance checklist so fixes become defaults.
  • Review new page templates, JavaScript rendering behavior, and site releases before launch.
  • Set easy-to-follow technical SEO standards for web marketing and web engineering partners.
  • Own technical SEO reporting, including what changed, its value, and next steps.
  • Build monitoring that catches regressions early rather than at the next quarterly audit.
  • Forecast the organic impact of proposed technical work and use it to prioritize.

Desired Qualifications

  • Technical SEO experience in enterprise business-to-business or software-as-a-service organizations where conversion is a pipeline event rather than a transaction.
  • International SEO at scale, including hreflang, multi-locale architecture, and work alongside a localization function.
  • Experience leading SEO through a large site migration, rebrand, or domain consolidation.
  • Log file analysis and comfort querying search data at scale using BigQuery, SQL, or the Search Console API.
  • Scripting for automation and analysis using Python or similar tools.
  • Experience embedding SEO requirements into content management system templates and components so fixes apply at the template level rather than page by page.
  • Familiarity with web engineering workflows.

About the Company

Qualtrics

Experience Management platform with AI analytics

Qualtrics provides Experience Management software that helps organizations understand and improve the experiences of customers and employees. It offers an AI-enabled XM platform that collects data from various touchpoints (like surveys and product usage) and analyzes it to reveal actionable insights. The company organizes its tools into three suites focused on improving customer frontlines, building high-performing teams, and developing products people love. Customers subscribe to the platform and can add professional services such as consulting and training to maximize value. Qualtrics differentiates itself by offering a single, AI-powered platform that covers customer, employee, and product experiences across many sectors, including enterprises, small businesses, and government agencies. The main goal is to help organizations increase market share, grow revenue, and build stronger brand loyalty by continuously measuring and improving experiences.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Provo, UT
Founded
2002

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