Manager, GEO & AI Search Optimization

Databricks•San Francisco, CA

2d•$141,000 - $242,350

About The Position

Databricks is looking for a Manager of (Generative Engine Optimization) GEO & AI Search Optimization to define how our brand shows up across every surface where buyers discover, evaluate, and choose technology partners — from Google AI Overviews to AI-powered answer engines like ChatGPT, Gemini, and Claude. You’ll build and run an experimentation-led program that grows our visibility, citations, and sentiment in AI-generated answers and organic search, turning those gains into meaningful business impact. This is a hands-on, high-ownership role for a builder who can operate at the intersection of technical SEO, content strategy, and the rapidly evolving AI search ecosystem.

Requirements

5–8 years of hands-on SEO experience, including meaningful time (typically 1–2+ years) focused on AI search optimization, GEO/AIO, or answer engine strategies, with a track record of improving visibility and business results in these channels.
Strong technical SEO foundation — site architecture, crawlability, structured data and schema markup, Core Web Vitals, and log file/crawl analysis — with experience partnering directly with web and engineering teams to ship changes at scale.
Proven ability to design and run experimentation programs (tests on content, structure, and technical elements) that turn data into prioritized roadmaps and deliver measurable lifts in search/AI performance and downstream KPIs.
Fluency with modern SEO, analytics, and GEO/AIO measurement tools (e.g., Semrush/Ahrefs, Google Analytics, Google Search Console, and AI visibility tracking platforms) and comfort building reporting that informs decisions for non-technical stakeholders.
Excellent written communication and editorial judgment, including the ability 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.
High learning agility, experimentation mindset, and comfort operating in a rapidly changing, ambiguous space — you’re energized by building the playbook while running the plays, not waiting for a fully defined roadmap.
Strong cross-functional communication and influence skills, with experience working closely with content marketing, product marketing, engineering, analytics, and communications to drive alignment and ship impactful work quickly.

Responsibilities

Significantly increasing Databricks’ visibility and share of citations across priority AI answer engines (e.g., ChatGPT, Gemini, Claude, Google AI Overviews) so that we consistently appear as a top recommended brand on high-intent product and category queries.
Driving growth in qualified organic and AI-referred traffic, conversions, and influenced pipeline for priority product lines and audiences by aligning search and AI discovery strategy with business goals.
Publishing 5x the amount of content for GEO/AIO utilizing a combination of AI agents and internal writing resources for deep, technical content that gets crawled and cited.
Accelerating the publishing of new content by creating clear workflows for GEO, content and product marketing teams to create and publish new content.
Establishing a repeatable GEO experimentation program that designs, runs, and synthesizes tests (e.g., content structure, schema, semantic depth, passage-level changes) and delivers measurable improvements in AI citation rate, sentiment, engagement, and downstream funnel performance.
Maintaining excellent technical health and AI crawlability across high-value pages — including Core Web Vitals, structured data, schema, crawl optimization, and site architecture — so that both traditional search engines and AI agents can reliably access, understand, and surface our content.
Embedding GEO best practices into our content and campaign workflows, ensuring new and refreshed content is structured to be AI-citable and answer-focused, and materially increasing the share of third-party and first-party content that accurately and prominently features Databricks in relevant queries.
Building an executive-ready reporting and insights function that connects AI/SEO performance (visibility, share of voice, sentiment, traffic) to business outcomes, becomes a trusted source of truth for leadership, and informs fast, high-quality decisions from the VP, CMO, and other stakeholders.
Creating and socializing the Databricks GEO playbook — standards, SOPs, training, and enablement — that up-levels cross-functional partners (content, product marketing, engineering, comms) and reduces cycle time from insight to implementation.