MKTQ227R42
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.
The impact you will have:
Within 12–24 months in this role, success looks like:
- 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.
What we look for:
- 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.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Zone 1 Pay Range$176,200—$242,350 USDZone 2 Pay Range$158,600—$218,150 USDZone 3 Pay Range$149,800—$206,050 USDZone 4 Pay Range$141,000—$193,800 USD
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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.