ReqID: SLSQ127R308
About the RoleWe’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.
- 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.
- 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
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
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.
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Equity Value & Accessibility — Equity grants and RSUs are a major part of total compensation and are highlighted for meaningful upside potential. Stock-based awards and refreshers contribute to strong overall pay positioning across senior technical and go-to-market roles.
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Healthcare Strength — Medical, dental, and vision coverage are complemented by mental-health resources, an EAP, and wellness reimbursements. Health benefits are consistently framed as comprehensive and competitive.
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Parental & Family Support — Paid parental leave for all parents, fertility support, and backup care options provide tangible assistance for family needs. Hybrid work norms and team-day structure further ease coordination for caregivers.
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What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
