MKTQ125R59
Databricks is hiring a Director of Generative Engine Optimization (GEO) to define how our brand shows up across every surface where buyers discover, evaluate, and choose data and AI platforms—from AI-powered answer engines like ChatGPT, Gemini, and Claude to Google AI Overviews and traditional search. This leader will build and scale a global GEO product function from the ground up, shaping the strategy, AI tooling and workflows, team, and operating model that turns AI and organic discovery into a durable growth engine for Databricks.
This is a build-the-function role: you'll set the strategy, do the hands-on work to prove it out, define how we measure success, and grow the team behind it. You'll sit at the center of content, product marketing, web, and demand gen — translating a fast-moving discipline into pipeline.
The impact you will have:
- Built a GEO function and operating model that reliably turns AI and organic discovery into a meaningful growth channel for Databricks, with a clear charter, roadmap, and engagement model for web, content, product marketing, and brand.
- Significantly increased Databricks’ visibility and share of citations across priority AI answer engines (e.g., ChatGPT, Gemini, Claude, Google AI Overviews) so we consistently appear as a top recommended brand on high-intent product and category queries.
- Demonstrably grown qualified organic and AI-referred traffic, conversions, and influenced pipeline for priority product lines and audiences by aligning GEO strategy and experimentation with business goals.
- Stood up a robust GEO experimentation and measurement engine (tests on content structure, schema, semantic depth, technical changes) that produces a prioritized roadmap and measurable lifts in AI citation rate, sentiment, engagement, and downstream funnel performance.
- Improved the technical health and AI crawlability of high-value pages in partnership with Web, Engineering, and Marketing Systems, so that both traditional search engines and AI assistants can reliably access, understand, and surface Databricks content.
- Embedded GEO standards and playbooks across marketing and product teams, so new and refreshed content is consistently structured to be AI-citable and answer-focused, and GEO best practices show up in campaign, web, and content workflows by default.
- Built and led a high-performing GEO team, with clear roles, mentorship, and development paths, and established an executive-ready reporting and insights function that earns trust from the VP, CMO, and other senior stakeholders.
What we look for:
- 10+ years in technical search, discovery, or adjacent domains, including meaningful time owning systems that drive organic or AI-powered discovery in a high-growth environment.
- Deep technical foundation across web architecture, crawling and indexing, structured data/schema, Core Web Vitals, and log/crawl analysis, with a track record of working directly with engineers to ship changes at scale.
- Proven experience designing and running experimentation programs (on content structure, schema, and technical changes) that produce prioritized roadmaps and measurable lifts in visibility, traffic, and downstream business KPIs.
- Demonstrated success building from zero-to-one: defining a new function’s charter, roadmap, operating model, and metrics, and then hiring, coaching, and leading a team of ICs to deliver against it.
- Track record of building, mentoring, and managing high-performing teams – including setting clear expectations, providing regular coaching and feedback, and developing ICs into senior, highly autonomous operators.
- Strong analytical skills and comfort working hands-on with data and measurement tooling to connect AI/search performance to business impact and produce clear, executive-ready insights.
- Experience operating in a complex, cross-functional environment (e.g., web engineering, marketing systems, data/analytics, brand, product) and driving alignment and decisions without relying on formal authority.
- Clear, concise written communication, with an emphasis on technical specifications, experiment design docs, and straightforward executive updates rather than marketing copy.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Skills Required
- 10+ years in technical search, discovery, or adjacent domains, with experience in high-growth environments
- Deep technical foundation in web architecture, crawling and indexing, structured data/schema, Core Web Vitals, and log/crawl analysis
- Proven experience designing and running experimentation programs that link technical/content changes to business KPIs
- Demonstrated success building a function from zero-to-one, including charter, operating model, and roadmap
- Track record of building, mentoring, and managing high-performing teams
- Strong analytical skills and hands-on experience with data and measurement tooling to produce executive-ready insights
- Experience operating in complex cross-functional environments (web engineering, marketing systems, data/analytics, product) and driving alignment without formal authority
- Clear, concise written communication focused on technical specifications, experiment design docs, and executive updates
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Equity Value & Accessibility — Equity grants are a meaningful part of offers, and periodic tender opportunities and secondary options have made private equity more tangible for many employees. This perceived upside contributes to strong total-compensation sentiment in key roles.
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Healthcare Strength — Comprehensive medical, dental, and vision coverage is paired with mental‑health resources and wellness reimbursements, indicating a robust health package. Multiple summaries highlight broad coverage that employees can practically use.
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Leave & Time Off Breadth — Generous PTO, paid holidays/sick time, and fully paid parental leave are frequently described, with hybrid/remote flexibility common in the U.S. These policies expand time‑off accessibility across different life stages.
Databricks Insights
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
