Director, Agent & AI Search
Databricks Mosaic · United States · San Francisco, California
CHECKED 15H AGO
Infrastructureonsitedirector$223k–$307k
At a glance
Highlights
- Build and scale a global GEO function turning AI discovery into growth.
- Grow Databricks visibility across ChatGPT, Gemini, Claude and AI Overviews.
- Turn AI and organic discovery into pipeline for data and AI platform.
What they offer
- Performance bonus
- Equity
- Comprehensive benefits and perks
Ideal candidate
A zero-to-one builder who loves technical discovery and experimentation, thrives cross-functionally, and coaches high-performing teams to turn fast-moving AI search into measurable growth.
Requirements
- 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 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.
- Track record of building, mentoring, and managing high-performing teams, 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.
- Experience operating in a complex, cross-functional environment and driving alignment and decisions without relying on formal authority.
Lab profile
About Databricks Mosaic
Builds unified data analytics and AI platform to productionize AI applications.
What they build
- Databricks platform
- Unified Data Analytics and AI
- AI platform
Known for
- Forward-deployed AI engineering
- Productionizing first-of-kind AI applications
- Customer platform adoption and scale
- Cross-functional engineering and product collaboration