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Databricks

Builds cloud software for data analysis and AI

Director – Technical Marketing

Brand & Creative MarketingConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • At least 10 years of experience in technical marketing, developer relations, solutions engineering, field engineering, or a related technical field in enterprise software, SaaS, or cloud.
  • At least 3 years of people-management experience, with a track record of hiring, developing, and retaining high-performing technical teams.
  • Deep technical fluency in data, artificial intelligence and machine learning, and cloud platforms, with the ability to build demos and engage credibly with technical practitioners across the data and AI ecosystem.
  • Demonstrated outbound evangelism skills, including a visible external presence through conference speaking, technical blogging, YouTube or video content, or social media thought leadership.
  • Experience owning technical content strategy for major product launches and flagship events, such as user conferences and world tours.
  • Ability to partner with Product Management, Product Marketing, Field Engineering, and Sales to align priorities and deliver integrated go-to-market.
  • Ability to translate complex technical concepts into compelling narratives for multiple audiences.

Responsibilities

  • Lead and scale the team responsible for explaining Databricks products and their uses to technical buyers and practitioners.
  • Own the strategy and execution of technical content in written and video formats, demos, workshops, launch storytelling, and outbound evangelism to drive technical mindshare, consideration, product adoption, and pipeline.
  • Develop content that educates both people and AI agents in the era of agentic marketing and answer-engine and generative-engine optimization.
  • Program technical content for key Databricks events, including Data + AI Summit and Data + AI World Tour.
  • Serve as a visible, trusted external technical voice through social media, YouTube, conferences, and the data practitioner ecosystem, while owning the technical content engine for events, workshops, and field enablement.
  • Assess the team's strengths, gaps, and capacity; establish an operating model with defined ownership areas and a quarterly planning cadence.
  • Own and deliver technical content for Data + AI World Tour or another major Tier 1 event, targeting average session ratings of at least 4.5/5.0 and measurable pipeline contribution.
  • Launch or significantly expand at least two outbound evangelism initiatives, such as a YouTube series, technical social media cadence, or creator engagement program, to grow external technical reach.
  • Build an AI-powered publishing engine to help the team produce and publish content faster.
  • Publish original technical content and represent Databricks at external events or podcasts.
  • Scale the team to meet demand across an expanding set of technical personas and products.
  • Work with Field Engineering and Forward-Deployed Engineering to capture repeatable product use cases in a Solutions Library and build a scalable use-case capture and marketing process for the community.
  • Build and operationalize a content engine that turns each major product launch into persona-specific learning journeys, including demos, workshops, blogs, videos, and social content.
  • Grow YouTube and social technical content reach with a series-based content architecture for key personas at multiple depth levels.
  • Drive answer-engine and generative-engine optimization so Databricks is cited in AI answer engines for key buyer questions.
  • Establish Databricks as a leading place for technical practitioners to learn about data and AI, measured by YouTube subscriber growth, technical content engagement, and Free Edition activations tied to content.
  • Build a formal Databricks Creators program for co-owned, accurate, early-access content across new product areas.
  • Develop the team into a center of excellence with clear career paths, a strong hiring bar, and a strong reputation in enterprise software.

Desired Qualifications

  • Experience with data platforms, lakehouse architectures, Apache Spark, or related open-source data technologies.
  • Experience building or scaling a YouTube channel, podcast, or technical content program for practitioner audiences.
  • Familiarity with generative-engine optimization and AI answer-engine optimization strategies.
  • Experience with technical community building, creator programs, or influencer engagement across practitioner audiences.
  • Track record of building technical content that drives measurable pipeline and product adoption.

About the Company

Databricks

Builds cloud software for data analysis and AI

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$32.1B
Headquarters
San Francisco, CA
Founded
2013

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