Databricks

1 day ago

Manager, GEO & AI Search Optimization

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 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

Website LinkedIn

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Databricks

1 day ago

Manager, GEO & AI Search Optimization

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

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

Website LinkedIn