Digital Native Go-to-Market (GTM) Leader

San Francisco, CA (On-site)

$309K/yr – $425K/yrSenior Level10+ years expFull time

Posted 3 months ago

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Job Summary

Drive global GTM scale for Databricks by leading technical advisory and open-source ecosystem alignment for Digital Native customers.

  • Own the design and execution of global GTM motions to scale adoption among Digital Native customers.
  • Must-have: Deep Databricks/Data/AI expertise with Spark optimization and LLM workflows.
  • Standout: Thought leadership and cross-functional influence across product, sales, and engineering.

Job Description

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.

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.

Preferred

  • Track record of building partner ecosystems
  • Experience with GenAI product leadership
  • Public speaking at industry events (thought leadership)
  • Experience delivering across global, scalable GTM motions

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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Databricks

4.2 Glassdoor

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks 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 Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. ---Databricks applicantsPlease apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).

Founded in 2021
San Francisco, California, USA
14K employees (482 in marketing)
82% recommend to a friend
93% CEO approval

Traffic Signals

Monthly Visitors
4.5M
Monthly Google Ads Budget
$363.4K
Traffic Source Mix
Search
37.1%
Direct
51.8%
Referral
6.5%
Social
2.4%
Paid
2.1%

Headcount Trend

Current headcount: ~13.9K

Marketing Team

Marketing Team Size
367 (3% of company)
Median Career Experience
15 years
Median Tenure
3.8 years
Marketing Roles Posted (Last 30 Days)
1

Funding

Total Funding
$27.2B
Last Raise
$2B
Debt Financing, 1 months ago

Funding History

  • Feb 2026
    Debt Financing • $2B
  • Dec 2025
    Series Unknown • $5B
  • Sep 2025
    Series Unknown • $1B

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