AI Sales Director

About Databricks 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 applicants Please 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).

Databricks

Apache SparkApache Spark TrainingCloud ComputingBig DataData ScienceDelta LakeData LakehouseMLflowMachine LearningData Engineering

D

databricks.com

5,001-10,000 employees

Software Development

San Francisco, CA

Privately Held

1.4M LinkedIn followers

Raised $32.2B

• We are looking for a Director, AI Sales (IC) to grow Databricks’ enterprise AI business and shape how we take AI to market. You will work directly with executives and technical teams to win strategic opportunities, get AI applications into production, and expand customer usage. You will also turn what works with customers into sales plays the broader field can execute, with direct influence on our AI product priorities and go-to-market strategy.
• The impact you will have
• Deliver assigned AI consumption, bookings, and activation goals by prioritizing high-potential strategic accounts and converting underserved or unactivated demand into production usage.
• Increase the number of enterprise AI opportunities that achieve executive-backed technical validation and progress from experimentation to repeatable production workloads.
• Build and scale field plays around priority AI platform capabilities including AI Gateway, AI/ML training and serving infrastructure, Agent Bricks for custom agent development, etc. Creating measurable pipeline and consumption growth.
• Improve field execution by equipping and enabling account teams and specialists with repeatable guidance on AI use-case discovery, qualification, value articulation, pricing, sizing, and opportunity progression.
• Establish a scalable engagement model across sales, solutions architecture, business-unit enablement, and partners that increases specialist-influenced pipeline and accelerates customer decisions.
• Turn customer, field, and competitive feedback into clear product and go-to-market recommendations that strengthen Databricks’ position in the enterprise AI market.
• Build internal and external executive credibility for Databricks AI, increasing strategic sponsorship and expanding adoption across priority accounts.

• Highly motivated enterprise sales or consulting experience in AI platforms, AI infrastructure, machine learning, developer platforms, or related technical software, with a track record of delivering growth against measurable goals.
• Experience creating go-to-market strategy in an emerging or ambiguous technical market, including the ability to prioritize across a broad, changing account and opportunity landscape.
• Deep working knowledge of enterprise AI architecture and the platform capabilities required to build, deploy, govern, and scale models, agents, and AI applications.
• Demonstrated ability to earn technical approval and executive sponsorship through workshops, onsite engagements, business cases, and clearly defined validation paths.
• Experience creating field enablement and repeatable GTM plays that improve how sellers qualify, position, price, size, and advance complex technical opportunities.
• Ability to influence internally as well as externally, aligning sales, solutions architecture, business-unit leaders, enablement teams, and partners around a common AI growth strategy.
• Self-directed, credible, and comfortable operating without a predefined account list or fully formed playbook while maintaining disciplined prioritization and execution.
• Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
• Zone 1 Pay Range
• $272,000—$374,000 USD
• Zone 2 Pay Range
• $272,000—$374,000 USD
• Zone 3 Pay Range
• $272,000—$374,000 USD
• Zone 4 Pay Range
• $272,000—$374,000 USD
• About Databricks
• Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform 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 platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

• 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 click here.
• 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.