# Digital Native Go-to-Market (GTM) Leader

**Company**: Databricks
**Location**: San Francisco, California
**Experience**: senior
**Job type**: full-time
**Salary**: $308,700-$424,500 USD
**Category**: Sales
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8495071002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_8bd43b32-68b

## Description

As the Digital Native Go-to-Market Leader, you will drive the global strategy for high-growth companies, helping them build next-generation Data and AI platforms on Databricks.

You are a technical authority with a strong point of view on Data Intelligence platforms, a deep understanding of the open-source ecosystem, and the ability to engage in 'architect-to-architect' discussions with CTOs and VPs of Engineering.

The impact you will have:

- Global Programmatic Scaling: Design and execute repeatable, global GTM motions 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 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 trusted advisor to CTOs and Engineering leaders, guiding them on setting up modern Data and AI platforms.

- Open Source Advocacy: Leverage your understanding of the open-source ecosystem to align Databricks' value proposition with the 'build vs. buy' mindset of Digital Natives.

- Ecosystem Integration: Collaborate with teams to drive adoption of a seamless, interconnected data-sharing ecosystem.

- Thought Leadership: Establish yourself as a global technical thought leader through blogs, community contributions, and industry events.

- Internal Influence: Partner with Product and Engineering teams to influence the Databricks roadmap based on Digital Native customer requirements.

What we look for:

- Technical Chops: Deep experience with Databricks and the Data/AI landscape, including Spark optimization and data lakehouse architecture.

- AI Builder Experience: Proven track record of building AI systems, including MLOps and large-scale predictive models.

- Industry Credibility: 10+ years of experience in leadership roles within a Digital Native environment.

- Open Source Knowledge: Strong understanding of the open-source ecosystem and its integration with proprietary enterprise platforms.

- Programmatic Vision: Experience developing global, scalable GTM motions.

- Community Passion: Desire to share architectural best practices and lessons with other Digital Native companies.

- Executive Presence: Ability to influence C-suite stakeholders and VPs of Engineering.

- Entrepreneurial Spirit: 'Doer' mindset with the ability to operate in a fast-paced environment.

Pay Range Transparency The pay range for this role is $308,700-$424,500 USD.

Benefits Databricks provides comprehensive benefits and perks that meet the needs of all employees.

## Skills

### Required
- Databricks
- Data Intelligence
- AI
- open-source ecosystem
- Spark optimization
- data lakehouse architecture
- MLOps
- large-scale predictive models

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8495071002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)