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AI GTM Leader

Databricks

AI GTM Leader

Databricks

United States

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Top Tier compensation with equity

Remote work flexibility

Annual team offsites

Parental leave program

Required Skills

PyTorch

Airflow

SQL

ReqID: SLSQ127R308

About the Role

We’re seeking a proven AI Go-To-Market (GTM) Leader to define, build, and scale Databricks’ global GTM strategy for AI solutions. This leader will work with customers, design, and operationalize repeatable, field-ready AI programs that accelerate adoption, enable sales execution, and drive measurable customer and revenue outcomes across all segments and regions.

In this role, you will lead a high-performing team responsible for creating, launching, and scaling AI GTM motions across the Databricks field ecosystem. You will work in deep partnership with Sales Leadership, Sales Programs, Sales Operations, Product, Marketing, and Field Engineering to ensure Databricks’ AI capabilities are translated into clear value propositions, executable sales motions, and durable customer impact.

Key Responsibilities:

Design and Scale AI GTM Programs

  • Build and execute scalable, repeatable AI GTM programs that enable the global sales organization to consistently position, sell, and expand Databricks’ AI solutions.

  • Define standardized plays, packaging, enablement assets, and execution models that support both new logo acquisition and expansion.

Customer Engagement

  • Engage directly with strategic customers to translate Databricks’ AI innovations into tangible business outcomes. Help customers understand the journey to value creation in the consumption motion. Experience with Gen AI use case in customer settings required

  • Support executive-level customer conversations by connecting AI capabilities to ROI, transformation outcomes, and operational impact.

Sales Leadership, Programs & Operations Partnership

  • Partner closely with regional and global sales leadership to align AI GTM priorities with revenue goals, account strategies, and field capacity.

  • Work with Sales Programs and Sales Operations to embed AI motions into planning, pipeline generation, forecasting, incentives, and operating rhythms.

  • Establish strong feedback loops with the field to continuously refine plays, coverage models, and execution effectiveness

Cross-Functional Leadership with Product

  • Collaborate closely with Product and Engineering to align GTM motions with products, roadmap priorities, and launch readiness. Strong technical aptitude, ability to understand products and how to roll them out to the field.

  • Influence product direction by bringing structured field, customer, and market feedback into planning and prioritization discussions.

Executive Communication & Influence

  • Communicate effectively with internal executives and customer C-suite stakeholders, articulating Databricks’ AI strategy, differentiation, and value.

  • Enable consistent executive-level storytelling across sales, product, and marketing teams.

Data-Driven GTM Execution

  • Define success metrics, dashboards, and operating insights to track adoption, pipeline impact, revenue contribution, and ROI of AI GTM programs.

  • Use data to identify gaps, optimize execution, and scale what works globally.

Thought Leadership

  • Serve as a visible internal and external evangelist for Databricks’ AI capabilities, ensuring narrative alignment across sales, product, and marketing.

  • Represent Databricks at key customer, partner, and industry forums.

Experience Required

  • Proven experience building and scaling AI, ML, or data-driven GTM programs at a global enterprise software, cloud, or AI company.

  • Strong track record of partnering with Sales Leadership, Sales Programs, and Sales Operations to drive execution, prioritization, and measurable outcomes.

  • Deep understanding of how AI solutions create business value, with the ability to translate technical capabilities into clear commercial impact.

  • Experience working closely with Product, Engineering, Field Engineering, and Field CTO organizations to bring complex offerings to market.

  • Executive presence and storytelling skills, with the ability to influence senior technical and business stakeholders.

  • Data-driven mindset with experience defining GTM metrics, dashboards, and operating cadences.

  • 10+ years of experience in GTM, strategy, sales, or field leadership roles within enterprise software, cloud, or AI-focused organizations.

Preferred Qualifications

  • Experience leading global teams and launching new GTM motions for emerging technologies such as AI, ML, or Generative AI.

  • Strong understanding of modern data platforms, MLOps, and AI commercialization strategies.

  • Ability to operate effectively in a fast-paced, high-growth environment and influence across senior leadership.

  • Exceptional communication skills with the ability to simplify complex concepts for diverse audiences.

Why Databricks

Databricks is at the center of the data and AI revolution, helping organizations unlock the full value of data and generative AI at scale. In this role, you will directly shape how Databricks brings AI to market—working hand-in-hand with sales leadership, sales operations, and product teams to empower thousands of sellers and field engineers, accelerate customer outcomes, and drive the next phase of Databricks’ growth.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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.

Our Commitment to Diversity and Inclusion

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.

Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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About Databricks

Databricks

Databricks

Series I

Databricks, Inc. is an American software company based in San Francisco. It was founded in 2013 by the original creators of Apache Spark. It offers a cloud-based platform for data analytics and artificial intelligence.

6,000+

Employees

San Francisco

Headquarters

$43B

Valuation

Reviews

4.2

9 reviews

Work Life Balance

3.5

Compensation

4.7

Culture

4.3

Career

4.5

Management

4.0

86%

Recommend to a Friend

Pros

Working on industry-leading data and AI platform

Excellent compensation with high equity upside

Strong engineering culture with Apache Spark creators

Cons

High intensity work environment with demanding deadlines

Work-life balance can suffer during key releases

Growing pains as company scales rapidly

Salary Ranges

25 data points

Mid/L4

Mid/L4 · Enterprise Account Executive

1 reports

$147,084

total / year

Base

$127,899

Stock

-

Bonus

-

$147,084

$147,084

Interview Experience

9 interviews

Difficulty

3.0

/ 5

Duration

21-35 weeks

Offer Rate

22%

Experience

Positive 22%

Neutral 67%

Negative 11%

Interview Process

1

Application Review

2

Recruiter/Phone Screen

3

Technical Interview/Coding Round

4

System Design Interview

5

Behavioral Interview

6

Final Round/Hiring Manager Interview

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge