---
title: 'AI Sales Director at Databricks'
canonical: 'https://feeny.ai/job/ai-sales-director-databricks-san-francisco-r7m50sxkqvfb'
type: 'job'
last_seen: '2026-10-31'
---

# AI Sales Director at Databricks

- **Company:** Databricks
- **Location:** San Francisco, CA / United States / US West Coast
- **Compensation:** $272k–$374k
- **Work type:** remote
- **Posted:** 2026-10-30
- **Last confirmed live:** 2026-10-31
- **Apply:** https://databricks.com/company/careers/open-positions/job?gh_jid=8824171002

## 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](https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf).

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](https://www.linkedin.com/company/databricks), [X](https://x.com/databricks), [YouTube](https://www.youtube.com/@Databricks), and [Instagram](https://www.instagram.com/databricksinc/?hl=en).

## 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 click [here](https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing).

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.

## About Databricks

## Company Overview
- **One-liner**: Databricks provides a unified data and AI platform built on an open lakehouse architecture, enabling organizations to manage data, analytics, and AI at scale.
- **Entity Type**: Private (late-stage, last reported valuation ~$43B in 2021, but current valuation not publicly disclosed)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2013
- **Founders**: Original creators of Apache Spark™, Delta Lake, MLflow, and Unity Catalog (co-founders include Ali Ghodsi, Matei Zaharia, Ion Stoica, Patrick Wendell, Reynold Xin, among others)

## Core Business
- Primary industry: Data & AI Platform / Enterprise Software
- Target customers: B2B – Enterprise, SMB, and government organizations; over 20,000 customers worldwide, including 70% of the Fortune 500
- Mission: “Simplify and democratize data and AI, helping data and AI teams solve the world’s toughest problems.” [databricks.com](https://www.databricks.com/company/about-us)

## Products & Services
- **Databricks Data Intelligence Platform**: Unified platform for data engineering, data warehousing, data science, machine learning, and AI. It integrates open-source technologies like Apache Spark, Delta Lake, MLflow, and Unity Catalog.
- **Lakebase**: Serverless Postgres database integrated with the lakehouse, built for the AI era.
- **Genie**: AI-powered natural language assistant for data insights and querying.
- **Agent Bricks**: Tools for building AI agents that continuously improve quality and accuracy on an organization’s data.
- **Additional offerings**: Data warehousing, business intelligence, governance, data engineering, and AI/ML services.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company; last reported valuation of $43B in 2021 from a Series I round, but no recent official disclosure)
- **Key Metric**: Over 10,000 employees; 20,000+ customers; 70% of Fortune 500; 1,200+ global partners [databricks.com](https://www.databricks.com/)
- **Notable Investors/Partners**: Not explicitly listed in search results, but known investors include Andreessen Horowitz, Tiger Global, Microsoft, and others. Partners include major cloud providers (AWS, Azure, GCP) and consulting firms.
- **Growth Signals**: Headcount of 10,000+ employees; offices in 30+ locations across 20+ countries; 5x Leader in Gartner® Magic Quadrant™ Reports; LinkedIn job postings growing 26.7% year-over-year (783 active positions) [linkedin.com](https://www.linkedin.com/company/databricks)

## Competitive Advantages
- **Open lakehouse architecture**: Combines data lake and data warehouse capabilities with open-source standards, avoiding vendor lock-in.
- **Founding team behind Apache Spark, Delta Lake, MLflow**: Deep technical credibility and active open-source community.
- **Unified platform**: Single solution for data engineering, analytics, and AI, reducing complexity for enterprises.
- **Strong data governance**: Unity Catalog provides centralized access control and lineage.
- **AI-native**: Built-in AI capabilities (Genie, Agent Bricks) that leverage an organization’s own data.

## Strategic Focus
- Expanding AI capabilities with natural language interfaces and autonomous agents.
- Deepening integrations with cloud providers and open-source ecosystems.
- Scaling enterprise sales and global footprint (30+ offices, focus on EMEA and APAC).
- Cultivating a developer and data science community through university programs and open-source contributions.

## Why Work Here
- **Culture**: Described as “innovators, builders and truthseekers” with a focus on solving hard technical problems. Emphasizes inclusion, diversity, and equity, including closing the pay gap and removing unconscious bias from recruitment. [databricks.com](https://www.databricks.com/company/careers)
- **Work Environment**: Hybrid/flexible work model; benefits and perks include health, well-being, and flexible ways of working. Offices in major cities globally.
- **Engineering Culture**: Strong emphasis on open-source, AI, and data infrastructure. Opportunities for interns and new grads to contribute to core platform. Hackathons, board game nights, and social events.
- **Growth**: Fast-growing company (10,000+ employees, 20,000+ customers) with ambitious scaling plans, offering career advancement in engineering, sales, product, and more.

## Sources
1. [Databricks About Us](https://www.databricks.com/company/about-us)
2. [Databricks Careers](https://www.databricks.com/company/careers)
3. [Databricks Homepage](https://www.databricks.com/)
4. [Databricks LinkedIn](https://www.linkedin.com/company/databricks)

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