Manager, GEO & AI Search Optimization

Databricks
San Francisco
Workplace: OnsiteFull timeUSD 141,000 - 242,350Function: Data Science & Machine LearningExperience: 5-8 yearsSkills: ["Experimentation mindset","Learning agility","Cross-functional communication","Written communication","Editorial judgment"]

Define how Databricks appears across AI answer engines and organic search by building and running an experimentation-led GEO/AIO program. Own growth in visibility, citations, sentiment, and qualified traffic by improving technical crawlability (Core Web Vitals, structured data, schema, architecture), scaling technical content production, and establishing workflows, executive reporting, and a repeatable GEO playbook for cross-functional teams.

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FursaFursa
Databricks
Databricks
1 month ago

Manager, GEO & AI Search Optimization

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Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Define how Databricks appears across AI answer engines and organic search by building and running an experimentation-led GEO/AIO program. Own growth in visibility, citations, sentiment, and qualified traffic by improving technical crawlability (Core Web Vitals, structured data, schema, architecture), scaling technical content production, and establishing workflows, executive reporting, and a repeatable GEO playbook for cross-functional teams.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Define and execute a GEO/AIO experimentation program to improve AI citation rate, sentiment, engagement, and downstream funnel performance.
  • •Increase Databricks’ visibility and share of citations across priority AI answer engines and organic search by aligning search/AI discovery strategy with business goals.
  • •Scale technical GEO/AIO content production (including coordinating AI agents and internal writing resources) and create workflows for GEO, content, and product marketing teams to publish faster.
  • •Maintain technical health and AI crawlability across high-value pages, including Core Web Vitals, structured data/schema, crawl optimization, and site architecture.
  • •Build executive-ready reporting that connects AI/SEO performance to business outcomes and create/socialize a Databricks GEO playbook (standards, SOPs, training, enablement) to accelerate cross-functional execution.

Pay and Benefits

Salary: USD 141,000 - 242,350
Equity and Bonus:Equity

Key Requirements

  • •5–8 years of hands-on SEO experience, including 1–2+ years focused on AI search optimization, GEO/AIO, or answer engine strategies with a track record of improving visibility and business results.
  • •Strong technical SEO foundation including site architecture, crawlability, structured data/schema markup, Core Web Vitals, and log file/crawl analysis, partnering with web and engineering teams to ship changes at scale.
  • •Proven ability to design and run experimentation programs (tests on content, structure, technical elements) and turn data into prioritized roadmaps with measurable lifts in search/AI performance and downstream KPIs.
  • •Fluency with modern SEO/analytics/GEO/AIO measurement tools (e.g., Semrush/Ahrefs, Google Analytics, Google Search Console, AI visibility tracking platforms) and comfort building reporting for non-technical stakeholders.
  • •Excellent written communication and editorial judgment to review and refine AI-generated and human-created content so it is accurate, on-brand, and structured to be cited and surfaced by AI assistants and search engines.
Experience:5-8 years
Skills:Experimentation mindsetLearning agilityCross-functional communicationWritten communicationEditorial judgment
Languages:English
Tech Stack:SemrushAhrefsGoogle AnalyticsGoogle Search ConsoleCore Web VitalsStructured dataSchema markupAI visibility tracking platformsAI agents

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn