Okta

Customer First GEO Content Specialist

Okta$73K — $100K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2+ years of professional experience in SEO and content strategy, focusing on optimization and development.
  • Understanding of how content is rewarded in LLMs and modern search algorithms, rather than traditional SEO.
  • Familiarity with current GEO concepts and the influence of LLMs on search.
  • Experience with SEO/AI Search platforms like SEMRush, Google Search Console, and others.
  • Proficiency in data analysis related to content performance and output tracking.
  • Strong communication skills for clearly articulating content requirements and results.
  • Experience with HTML and enterprise-level systems such as Salesforce Experience Builder.

Responsibilities

  • Execute strategies for structuring and optimizing content to enhance LLM retrievability.
  • Develop machine-parsable content blocks aligned with semantic density and AI answer formats.
  • Apply schema.org and JSON-LD best practices for LLM visibility while ensuring brand quality standards.
  • Analyze GEO prompt data and competitors to identify content opportunities.
  • Maintain knowledge of LLM functionality and relevant GEO KPIs.
  • Utilize a data-driven approach to manage content tasks and analyze performance trends.
  • Collaborate with Customer First teams to publish optimized content effectively.

Benefits

  • Health, dental, and vision insurance.
  • RRSP with matching contributions.
  • Healthcare spending account.
  • Telemedicine services.
  • Paid leave including PTO and parental leave.
Full Job Description
Okta is seeking a highly proficient GEO Content Specialist to execute content-focused Generative Engine Optimization (GEO) strategies for Okta and Auth0. This is a mid-level individual contributor role focused on ensuring content is optimized for visibility and retrieval in the evolving landscape of AI Search/GEO/AEO. The ideal candidate is a reliable self-starter with a strong understanding of content, SEO, and the mechanisms of Large Language Models (LLMs).

Core Responsibilities & Execution:
  • Content Optimization:
    • Execute the strategy for structuring and optimizing content to promote content retrievability by LLMs.
    • Develop and refine content blocks to be machine-parsable and aligned with semantic density and emerging AI answer formats.
    • Understand how content must be structured (schema.org and JSON-LD) for LLM visibility and apply best practices while adhering to brand and quality standards.
    • Identify opportunities by reviewing GEO prompt data, analyzing competitors, and thinking creatively about content needs for the business.
  • GEO Knowledge & Application:
    • Maintain a working knowledge of how LLMs function, relevant KPIs, and content-related GEO best practices.
    • Apply concepts such as vector embeddings, RAG, grounding, chunks, passages, and citations in daily content work.
    • Stay current on industry changes related to GEO/AEO/AIO and the future of organic visibility.
  • Data & Workflow:
    • Utilize a data-driven approach to execute content tasks and identify content performance trends.
    • Collaborate with Customer First teams to ensure optimized content is published effectively.
    • Manage assigned content tasks effectively, meeting deadlines and quality standards.
    • Leverage AI in content analysis, editing and production workstreams to improve efficiency and output
    • Track and analyze SEO and GEO key performance metrics for Customer First subdomains, providing insights and recommendations to stakeholders for optimization.


Qualifications:
  • 2+ years of professional experience in SEO, and content strategy, with a focus on content optimization and/or content development.
  • Understands how content is rewarded in both LLMs and modern-day search ranking algorithms (this position is not about traditional SEO keyword optimization).
  • Familiarity with current GEO concepts and the role of LLMs in search.
  • Working knowledge of SEO/AI Search platforms such as SEMRush, BrightEdge, Ahrefs, Profound, and Google Search Console.
  • Proficiency in data analysis and insights gathering for content output and performance tracking.
  • Strong communication skills, with the ability to articulate content requirements and results clearly.
  • Experience using HTML, Salesforce Experience Builder, or similar enterprise-level systems.
  • Background in the post-Sales roles and Identity and Access Management (IAM), B2B marketing, SAAS, or the cybersecurity domain is preferred, but not required.

#LI-Hybrid
#LI-MM1
P25423

Below is the annual salary range for candidates located in Canada. Your actual salary will depend on factors such as your skills, qualifications, and experience. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental, and vision insurance, RRSP with a match, healthcare spending, telemedicine, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program, please visit: https://rewards.okta.com/can.

The annual base salary range for this position for candidates located in Canada is between:

$73,000-$100,100 CAD

The Okta Experience
  • Supporting Your Well-Being
  • Driving Social Impact
  • Developing Talent and Fostering Connection + Community

About Okta

Okta is a leading provider of identity and access management solutions for enterprises. The company's cloud-based platform enables organizations to securely connect people and technology, providing secure access to applications and data from any device, anywhere, at any time. Okta's solutions are used by thousands of organizations worldwide, including many Fortune 500 companies. The company was founded in 2009 and is headquartered in San Francisco, California. Okta is committed to providing innovative solutions that help organizations stay secure and productive in today's digital world.
Learn more about Okta
Size
5,342 employees
Market Cap
$10.5 billion
Industry
Net Income
-$266.3 million
Founded
2009
5 Year Trend
+51.9%
Revenue
$835.4 million
NASDAQ

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