5-7 years of enterprise sales or consulting experience in AI platforms or related technical software.
Proven track record of driving growth against measurable goals in an evolving market.
In-depth knowledge of enterprise AI architecture and deployment capabilities.
Experience in securing technical approval and executive sponsorship through strategic engagements.
Skilled in creating field enablement strategies that enhance sales processes.
Ability to influence cross-functional teams and align on AI growth strategies.
Self-motivated and capable of operating without a predefined account list.
Responsibilities
Deliver AI consumption and bookings goals by targeting high-potential strategic accounts.
Increase enterprise AI opportunities from experimentation to production workloads.
Build and scale field plays around key AI platform capabilities to drive pipeline growth.
Equip account teams with guidance on AI use-case discovery and opportunity progression.
Establish a scalable engagement model to enhance pipeline and accelerate customer decisions.
Translate customer and competitive feedback into actionable product recommendations.
Enhance executive credibility for Databricks AI to foster strategic sponsorship.
Benefits
Comprehensive benefits package tailored to employee needs.
Eligibility for annual performance bonuses and equity options.
Full Job Description
SLSQ427R457
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.
What we look for
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.
Pay Range Transparency
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
BenefitsAt 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.
About Databricks
Databricks is a unified analytics platform that provides data engineering, collaborative data science, and machine learning capabilities. The company was founded in 2013 by the original creators of Apache Spark, a popular open-source big data processing engine. Databricks provides a cloud-based platform that allows data teams to collaborate and build data pipelines, run machine learning models, and perform advanced analytics. The company has raised over $1 billion in funding and is valued at $38 billion as of November 2021.