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AI-Era SEO & Content Discoverability Lead

Atlan
Full-time
On-site
United States
πŸ” SEO & Content Marketing

πŸ“Œ Core Information

πŸ”Ή Job Title: AI-Era SEO & Content Discoverability Lead

πŸ”Ή Company: Atlan

πŸ”Ή Location: United States

πŸ”Ή Job Type: Full-Time, Remote

πŸ”Ή Category: Software Development

πŸ”Ή Date Posted: 2025-07-15

πŸ”Ή Experience Level: 5-10 years

πŸ”Ή Remote Status: Remote Solely

πŸš€ Job Overview

Key aspects of this role include:

  • Driving Atlan's visibility across retrieval-augmented platforms like ChatGPT and Google AI Overviews.
  • Optimizing structured content formats to improve inclusion in AI responses.
  • Developing a scalable strategy for semantic SEO and ensuring structured coverage of core topics.
  • Collaborating cross-functionally to implement structured metadata and search enhancements.
  • Measuring and attributing discoverability success in a zero-click world.

ASSUMPTION: This role requires a strategic and technically sharp leader who can adapt to the evolving landscape of search and retrieval.

πŸ“‹ Key Responsibilities

βœ… Drive Atlan’s visibility across retrieval-augmented platforms like ChatGPT, Perplexity, and Google AI Overviews.

βœ… Build and optimize structured content formatsβ€”glossary hubs, definitional clusters, entity-driven micrositesβ€”that improve our inclusion in LLM responses.

βœ… Track our presence across AI-generated answers and design experiments to improve recall, summarization quality, and citation frequency.

βœ… Develop and execute a scalable strategy for semantic SEO and discoverability, grounded in entity-based architecture, internal linking systems, and schema markup.

βœ… Own the evolution of Atlan’s topical authority modelβ€”ensuring structured coverage, canonical references, and deep metadata for every core topic.

βœ… Build durable frameworks that unify blog, website, documentation, and glossary content under a consistent semantic and architectural system.

βœ… Define best practices for structuring content to be machine-readable and LLM-alignedβ€”from passage-level structuring to metadata injection.

βœ… Lead cross-functional implementation of technical enhancements (schema, canonical tags, embedding strategies) that improve retrieval fidelity.

βœ… Develop playbooks for content, product marketing, and web teams to ensure discoverability is designed into every surface by default.

βœ… Redefine discoverability success metrics beyond trafficβ€”AI impressions, semantic authority, retrieval accuracy, and zero-click exposure.

βœ… Partner with Growth Analytics to measure shifts in demand patterns, understand performance across surfaces, and tie efforts to influenced pipeline.

βœ… Build and maintain dashboards to monitor performance across SEO and generative retrieval channels.

βœ… Lead education and alignment across web, content, brand, and product marketing teams on how modern retrieval and summarization work.

βœ… Collaborate closely with engineers to implement structured metadata and search enhancements.

βœ… Champion a company-wide shift from search optimization to knowledge architecture β€” ensuring every team builds for how information is retrieved today.

ASSUMPTION: This role requires a strong understanding of both SEO and AI-driven retrieval systems, as well as the ability to work effectively with cross-functional teams.

🎯 Required Qualifications

Education: Bachelor's degree in a relevant field or equivalent experience.

Experience: 7+ years of experience in SEO, content architecture, or technical content operations in a B2B SaaS or digital-first environment.

Required Skills:

  • Proven success driving discoverability through internal linking, structured metadata, schema design, and semantic clustering.
  • Familiarity with how LLMs retrieve and rank content, including semantic embeddings, passage-level structuring, or prompt-based discovery experiments.
  • Technical fluencyβ€”comfortable working with developers to implement structured data, build tools, and operationalize metadata systems.
  • Track record of building systems and playbooks that scale across teams and surfaces.

Preferred Skills:

  • Experience in the modern data stack (e.g., Snowflake, dbt, Databricks) or with metadata-rich technical domains.

ASSUMPTION: Candidates with experience in SEO and AI-driven retrieval systems are likely to be successful in this role.

πŸ’° Compensation & Benefits

Salary Range: $150,000 - $200,000 per year (Estimated based on industry standards for a role of this level and location)

Benefits:

  • Health, dental, and vision insurance
  • 401(k) plan with company match
  • Unlimited PTO
  • Home office stipend
  • Professional development opportunities

Working Hours: Full-time (40 hours per week) with flexible hours

ASSUMPTION: The salary range is an estimate based on industry standards for a role of this level and location. Actual salary may vary based on experience and qualifications.

πŸ“Œ Applicant Insights

πŸ” Company Context

Industry: Software Development, specifically focused on data and analytics governance

Company Size: 201-500 employees. This size allows for a well-established company with resources and opportunities for growth, but still maintains a relatively flat hierarchy.

Founded: 2019. Atlan has been operating for over six years, providing stability and experience in the market.

Company Description:

  • Atlan is the active metadata platform for the modern data stack, stitching together metadata from various sources to create a unified data discovery, cataloging, lineage, and governance experience.
  • The company facilitates a two-way movement of metadata, bringing context back into the tools and workflows that data teams use every day.
  • Atlan powers data democratization and AI-readiness at companies like General Motors, Cisco, Autodesk, Unilever, Ralph Lauren, FOX, News Corp, Nasdaq, NextGen, Plaid, and HubSpot.

Company Specialties:

  • Data and Analytics
  • Data Catalog
  • Data Governance
  • Data Lineage
  • Data Team
  • Data Culture
  • DataOps
  • Data Engineering
  • Metadata
  • Active Metadata
  • Metadata Management

Company Website: https://atlan.com/

ASSUMPTION: Atlan is a well-established company with a clear focus on data and analytics governance, providing a stable environment for career growth.

πŸ“Š Role Analysis

Career Level: Mid-Senior level. This role requires significant experience and strategic thinking, placing it at a mid to senior career level.

Reporting Structure: This role reports directly to the Head of Marketing or a similar executive position, with cross-functional collaboration across various teams.

Work Arrangement: Remote solely. This role can be performed entirely remotely, with no on-site presence required.

Growth Opportunities:

  • As Atlan continues to grow, there will be opportunities for the right candidate to take on more responsibility and advance their career within the company.
  • The company's focus on data and analytics governance provides ample opportunities for learning and professional development.
  • Atlan's commitment to open-source projects, meet-ups, and learning opportunities further enhances growth prospects.

ASSUMPTION: This role offers significant growth opportunities for the right candidate, both within the role and through the company's commitment to professional development.

🌍 Location & Work Environment

Office Type: Fully remote. Atlan does not have a physical office, and all work is done remotely.

Office Location(s): San Francisco, New York, and Singapore

Geographic Context:

  • Atlan's remote work environment allows for a diverse and global team, with employees spanning 15+ countries.
  • The company's headquarters are in San Francisco, with additional offices in New York and Singapore.
  • Atlan's global presence provides opportunities for collaboration and learning from a diverse team.

Work Schedule: Flexible hours with a focus on results and outcomes. Atlan values work-life balance and provides unlimited PTO.

ASSUMPTION: Atlan's fully remote work environment offers a high degree of flexibility and the opportunity to work with a diverse, global team.

πŸ’Ό Interview & Application Insights

Typical Process:

  • Online application review
  • Phone or video screen with the hiring manager
  • Technical assessment or case study
  • Final round interviews with cross-functional stakeholders
  • Background check and offer extension

Key Assessment Areas:

  • Technical skills and experience in SEO and AI-driven retrieval systems
  • Strategic thinking and problem-solving abilities
  • Cross-functional collaboration and communication skills
  • Alignment with Atlan's mission and values

Application Tips:

  • Highlight relevant experience and achievements in SEO, content architecture, and AI-driven retrieval systems.
  • Tailor your resume and cover letter to emphasize your fit for this role and Atlan's mission.
  • Prepare for behavioral and situational interview questions that assess your problem-solving skills and strategic thinking.
  • Research Atlan's products, customers, and industry to demonstrate your understanding of the company and its market.

ATS Keywords: SEO, content discoverability, AI-driven retrieval, semantic SEO, structured metadata, schema design, LLM, semantic clustering, technical fluency, cross-functional collaboration, knowledge architecture

ASSUMPTION: Atlan's interview process is designed to assess both technical skills and cultural fit, with a focus on strategic thinking and problem-solving abilities.

πŸ› οΈ Tools & Technologies

  • SEO tools (e.g., SEMrush, Ahrefs, Google Search Console)
  • AI-driven retrieval platforms (e.g., ChatGPT, Perplexity, Google AI Overviews)
  • Content management systems (e.g., WordPress, Contentful, Drupal)
  • Metadata management tools (e.g., Atlan, Apache Atlas, Collibra)
  • Collaboration tools (e.g., Slack, Microsoft Teams, Google Workspace)

ASSUMPTION: This role requires a strong understanding of SEO tools, AI-driven retrieval platforms, and metadata management tools, as well as proficiency in content management and collaboration tools.

πŸ‘” Cultural Fit Considerations

Company Values:

  • Data-driven decision making
  • Customer-centric approach
  • Continuous learning and improvement
  • Transparency and accountability
  • Inclusion and diversity

Work Style:

  • Remote-first and globally distributed team
  • Flexible hours and results-driven culture
  • Collaborative and cross-functional approach
  • Focus on learning and professional development

Self-Assessment Questions:

  • Do you thrive in a remote, globally distributed work environment?
  • Are you comfortable working with a diverse, cross-functional team?
  • Do you embrace a data-driven approach to decision making and continuous learning?

ASSUMPTION: Atlan values a remote-first, globally distributed work environment, with a focus on data-driven decision making, continuous learning, and collaboration.

⚠️ Potential Challenges

  • The role requires a strong understanding of both SEO and AI-driven retrieval systems, which may have a steep learning curve for candidates without relevant experience.
  • The remote work environment may present challenges for candidates who prefer an on-site or hybrid work arrangement.
  • The role requires a high degree of strategic thinking and problem-solving, which may be demanding for candidates who prefer more structured or routine work.
  • The company's rapid growth may present challenges in terms of organizational structure and role clarity.

ASSUMPTION: This role presents unique challenges related to the required technical skills, work arrangement, and organizational growth, which candidates should carefully consider.

πŸ“ˆ Similar Roles Comparison

  • This role is unique in its focus on AI-driven retrieval and semantic SEO, which differentiates it from traditional SEO roles.
  • Atlan's focus on data and analytics governance provides a unique context for this role, with a focus on metadata management and data team collaboration.
  • This role offers significant growth opportunities, with the potential to advance within the company and take on more responsibility as Atlan continues to grow.

ASSUMPTION: This role is unique in its focus on AI-driven retrieval and semantic SEO, with significant growth opportunities as Atlan continues to expand its presence in the data and analytics governance market.

πŸ“ Sample Projects

  • Developing a semantic SEO strategy for Atlan's blog, website, and documentation to improve AI-generated answer inclusion.
  • Building and optimizing structured content formats to improve Atlan's presence in AI-generated answers for specific topics or entities.
  • Designing and implementing a system for tracking Atlan's presence across AI-generated answers and measuring the impact of semantic SEO efforts.

ASSUMPTION: These sample projects illustrate the strategic and technical nature of the role, with a focus on AI-driven retrieval and semantic SEO.

❓ Key Questions to Ask During Interview

  • How does Atlan approach measuring and attributing discoverability success in a zero-click world?
  • Can you describe the cross-functional collaboration between the SEO team and other departments at Atlan?
  • How does Atlan support the professional development and growth of its employees, particularly in this role?
  • What are the most significant challenges facing the SEO team at Atlan, and how can this role help address them?
  • How does Atlan's remote-first work environment support collaboration and communication among its global team?

ASSUMPTION: These key questions help candidates assess the strategic and technical aspects of the role, as well as the company's culture and work environment.

πŸ“Œ Next Steps for Applicants

To apply for this position:

  • Submit your application through this link
  • Tailor your resume and cover letter to emphasize your fit for this role and Atlan's mission.
  • Prepare for behavioral and situational interview questions that assess your problem-solving skills and strategic thinking.
  • Research Atlan's products, customers, and industry to demonstrate your understanding of the company and its market.
  • Follow up with the hiring manager one week after submitting your application to express your interest and reiterate your qualifications.

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.