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Strategic AI/BI Account Executive

Databricks

Strategic AI/BI Account Executive

Databricks

San Francisco, California

·

On-site

·

Full-time

·

5d ago

SLSQ327R187

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

  • Remote

  • San Francisco

  • Remote

  • New York City

Databricks is seeking a Genie + AI/BI Sales Specialist to help enterprise customers transform how business users interact with data. This high-impact role sits within the AI Go-To-Market team and partners closely with Enterprise Account Executives to drive adoption of Databricks AI/BI and Genie. You will help organizations move beyond static dashboards to governed, conversational, AI-powered analytics at the center of the convergence of business intelligence, data platforms, and generative AI.

Enterprise analytics is rapidly evolving from dashboards and static reporting to conversational, AI-driven decision platforms. Databricks AI/BI and Genie empower business users to securely interact with governed data using natural language, transforming the data platform into a true decision platform. If you want to be at the forefront of AI-powered analytics transformation at one of the fastest-growing data and AI companies in the world, this is your opportunity.

The impact you will have:

  • Partner with Enterprise AEs to identify, qualify, and close AI/BI opportunities

  • Engage C-level, analytics, and line-of-business leaders to modernize analytics strategies

  • Displace or expand legacy BI platforms with AI-powered, governed analytics solutions

  • Lead conversations around semantic governance, self-service analytics, and natural language data access

  • Drive proof-of-value engagements and scale enterprise-wide adoption

  • Align AI/BI initiatives to measurable business outcomes (productivity, speed to insight, revenue impact)

  • Enable field teams and serve as a subject matter expert on modern analytics architectures

What we look for:

  • Enterprise sales experience in BI, analytics, data platforms, or AI/ML

  • Strong understanding of modern analytics architectures and data governance

  • Ability to sell to both technical and business stakeholders

  • Executive presence and experience navigating complex buying cycles

  • Passion for AI and the impact of GenAI on enterprise analytics

  • Experience operating in a specialist or overlay sales model

  • Ability to translate technical capabilities into clear business value

  • 7+ years of Enterprise Sales experience, exceeding quotas in larger accounts

  • Bachelors Degree

Preferred Qualifications:

  • Experience with modern BI platforms such as Tableau, Power BI, Looker, or Thought Spot

  • Familiarity with semantic layers, metrics stores, or governed data models

  • Understanding of lakehouse architectures and cloud data platforms

  • Exposure to GenAI, natural language interfaces, or conversational applications

  • Consulting or solution design experience in customer-facing roles

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 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 anticipates 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.

Local Pay Range**$155,800—$214,225 USD**

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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, please visit https://www.mybenefitsnow.com/databricks.

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.

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About Databricks

Databricks

Databricks

Series I

Databricks, Inc. is an American software company based in San Francisco. It was founded in 2013 by the original creators of Apache Spark. It offers a cloud-based platform for data analytics and artificial intelligence.

6,000+

Employees

San Francisco

Headquarters

$43B

Valuation

Reviews

4.2

9 reviews

Work Life Balance

3.5

Compensation

4.7

Culture

4.3

Career

4.5

Management

4.0

86%

Recommend to a Friend

Pros

Working on industry-leading data and AI platform

Excellent compensation with high equity upside

Strong engineering culture with Apache Spark creators

Cons

High intensity work environment with demanding deadlines

Work-life balance can suffer during key releases

Growing pains as company scales rapidly

Salary Ranges

25 data points

Mid/L4

Senior/L5

Mid/L4 · Corporate Development Manager

1 reports

$171,004

total / year

Base

$148,699

Stock

-

Bonus

-

$171,004

$171,004

Interview Experience

9 interviews

Difficulty

3.0

/ 5

Duration

21-35 weeks

Offer Rate

22%

Experience

Positive 22%

Neutral 67%

Negative 11%

Interview Process

1

Application Review

2

Recruiter/Phone Screen

3

Technical Interview/Coding Round

4

System Design Interview

5

Behavioral Interview

6

Final Round/Hiring Manager Interview

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge