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Databricks

Builds cloud software for data analysis and AI

Director, AI Sales

Sales OperationsConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • Experience in enterprise sales or consulting involving 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 for building, deploying, governing, and scaling models, agents, and AI applications.
  • 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.
  • 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 that increases specialist-influenced pipeline and accelerates 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.

About the Company

Databricks

Builds cloud software for data analysis and AI

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$32.1B
Headquarters
San Francisco, CA
Founded
2013

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