About the role

Aplyr's Quick Take

This role is about selling AI and BI solutions to enterprise clients, focusing on transforming their data interactions. You'll work closely with account executives to identify opportunities, engage with C-level executives, and drive the adoption of Databricks' analytics tools. It's primarily an individual contributor role in sales.

Good fit

Ideal candidates have enterprise sales experience in BI or analytics, a solid grasp of modern data architectures, and the ability to communicate effectively with both technical and business leaders. A background in AI/ML is a plus.

Worth noting

The role emphasizes a shift from traditional dashboards to AI-driven analytics, which may appeal to those interested in cutting-edge technology. The spec doesn't clarify specific metrics for success or how performance will be evaluated.

SLSQ327R186

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

London
Munich
Paris

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
Strong Enterprise Sales experience, exceeding quotas in larger accounts
Bachelors Degree or equivalent experience

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 click here.

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.

Skills & Tags

go ai data analytics product sales

Aplyr's read

Databricks is a hub for data-driven innovation, attracting talent in AI and big data to transform how organizations leverage data for strategic decisions.
Synthesized from recent postings & public sources

What's promising

•Databricks offers a cutting-edge platform integrating data science, engineering, and business analytics.
•The company is a leader in big data and AI, driving significant industry advancements.
•Strong emphasis on collaboration attracts top-tier talent in data analytics and AI fields.

What to watch

•High competition in cloud data analytics could impact market share.
•Rapid scaling may strain internal resources and affect company culture.
•Dependence on cloud infrastructure partners presents potential operational risks.

Why Databricks

•Databricks' Lakehouse architecture uniquely combines data lakes and warehouses.
•Focus on AI efficiency and optimization differentiates its research initiatives.
•Collaborative workspace design fosters innovation across diverse data teams.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Databricks

Databricks

databricks.com

View company

Databricks is a unified data analytics platform that accelerates innovation by unifying data science, engineering, and business. It provides a collaborative workspace for data teams to work with big data and AI, enabling organizations to make data-driven decisions.