Digital Native Go-to-Market (GTM) Leader

DatabricksSan Francisco, CA

About The Position

As the Digital Native Go-to-Market Leader, you will drive the global strategy for the world’s most innovative high-growth companies—from late-stage startups to "born-in-the-cloud" giants. You will play a pivotal role in accelerating revenue growth by helping these organizations build their next-generation Data and AI platforms on Databricks. You are not just a strategist; you are a technical authority. You have a strong POV on how Data Intelligence platforms transform digital business models, a deep understanding of the open-source ecosystem, and the ability to engage in "architect-to-architect" discussions with CTOs and VPs of Engineering. You will set the vision, build executive relationships, and develop the programmatic motions required to scale this function globally.

Requirements

  • Technical Chops: Deep, hands-on experience with Databricks and the broader Data/AI landscape. You should be comfortable discussing Spark optimization, LLM fine-tuning, and data lakehouse architecture.
  • AI Builder Experience: Proven track record of hands-on experience building AI systems (MLOps, GenAI apps, or large-scale predictive models).
  • Industry Credibility: 10+ years of experience, including significant time spent in leadership roles within a "Digital Native" environment (e.g., high-growth SaaS, FinTech, HealthTech, AdTech, or Marketplace companies).
  • Open Source Knowledge: A strong understanding of the open-source ecosystem and how it integrates with proprietary enterprise platforms.
  • Programmatic Vision: Experience developing global, scalable GTM motions—moving beyond "one-off" deals to create a structured engine for global growth.
  • Community Passion: A genuine desire to help other Digital Native companies avoid "big mistakes" by sharing architectural best practices and "hard-won" lessons.
  • Executive Presence: Ability to command a room of engineers while simultaneously influencing C-suite stakeholders and VPs of Engineering.
  • Entrepreneurial Spirit: A "doer" mindset with the ability to operate in a fast-paced, ambiguous environment and drive results across cross-functional teams.

Responsibilities

  • Global Programmatic Scaling: Design and execute repeatable, global GTM motions that allow the field to effectively sell to Digital Natives at scale.
  • Strategic Sales Partnership: Work closely with sales and pre-sales teams to identify high-growth use cases, create account-level technical strategies, and build comprehensive sales programs.
  • Growth of Digital Native Business: Directly engage with priority accounts and influence key stakeholders in strategic deals.
  • Technical Advisory: Act as a hands-on trusted advisor to CTOs and Engineering leaders, guiding them on setting up modern Data and AI platforms.
  • Open Source Advocacy: Leverage your deep understanding of the open-source ecosystem (Spark, Delta, MLflow, etc.) to align Databricks’ value proposition with the "build vs. buy" mindset of Digital Natives.
  • Ecosystem Integration: Collaborate with the partnership, ISV, and Data Marketplace teams to drive adoption of a seamless, interconnected data-sharing ecosystem.
  • Thought Leadership: Establish yourself as a global technical thought leader by authoring deep-dive technical blogs, contributing to the community, and speaking at major industry events.
  • Internal Influence: Partner with Product and Engineering teams to influence the Databricks roadmap based on the unique requirements of high-scale Digital Native customers.

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, please visit https://www.mybenefitsnow.com/databricks.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

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