AI Sales Director

Databricks•San Francisco, CA

About The Position

Databricks is seeking a Director, AI Sales (IC) to grow its enterprise AI business and shape how AI is taken to market. The role works directly with executives and technical teams to win strategic opportunities, bring AI applications into production, and expand customer usage. It also translates successful customer engagements into repeatable sales plays for the broader field and provides input into AI product priorities and go-to-market strategy.

Requirements

  • 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 and prioritizing across a broad, changing account and opportunity landscape.
  • Deep working knowledge of enterprise AI architecture and 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 go-to-market plays that improve how sellers qualify, position, price, size, and advance complex technical opportunities.
  • Ability to influence internally and externally, aligning sales, solutions architecture, business-unit leaders, enablement teams, and partners around a common AI growth strategy.
  • Self-directed and credible, with the ability to operate without a predefined account list or fully formed playbook while maintaining disciplined prioritization and execution.

Responsibilities

  • 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, and Agent Bricks for custom agent development, to create measurable pipeline and consumption growth.
  • Equip and enable 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 to increase specialist-influenced pipeline and accelerate customer decisions.
  • Turn customer, field, and competitive feedback into 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.
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