Director, Web Marketing

MKTQ327R30

Databricks is hiring an experienced web leader to grow and scale the function globally, as the company continues its hyper-growth and leadership in the Data and AI space. You will be an essential member of the marketing leadership team, drawing on all of our internal resources to bring our marketing strategy to our digital audiences — and increasingly to a new kind of audience: the AI agents and assistants that now read, interpret, and act on the web on behalf of the people we're trying to reach. You will ultimately be measured on your ability to develop a cohesive portfolio of web properties built for scale, personalization, and this next era of how people and machines discover and evaluate companies. Reporting to the VP of Marketing, you will build and oversee a product team focused on executing and iterating on marketing priorities.

The ideal candidate has held a senior digital leadership role in a high-performing marketing organization at a company experiencing rapid growth. You have operated at scale in a global environment while maintaining a solution-oriented mindset and approach. You have excellent fundamentals, strong presence, and the ability to build a strong team. Just as important, you have a point of view on where the web is going, and know how to build for AI-driven search, answer engines, and autonomous agents. 

• Transform Databricks' web properties into outstanding destinations using a modern development approach and current technologies, built to serve both human visitors and the AI agents and assistants that now consume and act on web content.
• Put AI to work inside the function, using it to automate and accelerate web production, QA, localization, testing, and routine optimization so the team spends its time on strategy and craft rather than repetitive execution.
• Establish a strategy for how Databricks evolves and scales its web presence with the business across segments, products, industries, partners, and languages — and for how our content stays legible, accurate, and well-represented as AI systems increasingly mediate discovery.
• Monitor and optimize web traffic and coordinate with global teams to ensure the success of both worldwide brand awareness and demand generation efforts in every market.
• Implement a robust testing and personalization program using all available tools to create creative, tailored digital experiences that increase conversion.
• Ensure our web properties are structured for machine readability — clean information architecture, structured data, and content that both people and agents can parse and trust — so Databricks is accurately represented wherever our audiences are researching.
• Leverage data on product usage and website analytics, working directly with the broader marketing team to develop strategies that improve growth.
• Manage internal and external partners and vendors, and serve as the in-house expert for web strategy across the organization.
• Strengthen the cross-departmental collaboration required to support and develop digital experiences for all of our audiences, through established processes and frameworks for high-velocity execution.
• Build and lead a growing, globally distributed team, ensuring both team and personal growth.

• 10+ years on a high-performing web marketing or development team.
• 5+ years managing a team.
• Depth in the technical aspects of running a website: analytics, UX, technical and content SEO, and information architecture.
• A point of view on the future of the web — AI-driven search and answer engines, structured/machine-readable content, and designing for AI agents and assistants as a genuine audience, not a novelty.
• A track record of adopting AI tools and agents to streamline web workflows.
• Experience growing and scaling a function to meet the needs of team members, other departments, and contractors.
• A strategic partner and agreement builder who helps other teams translate requirements into customer-centric web experiences.
• Have led a large-scale, international website refresh or rebuild.
• Experience with web optimization and testing frameworks, and ideally with modern composable/headless architectures.

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.

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.

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.