Databricks Logo

Databricks

Genie Sales Director (AI/BI)

Posted 8 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in United States
272K-374K Annually
Entry level
Remote
Hiring Remotely in United States
272K-374K Annually
Entry level
Drive enterprise adoption of Databricks Genie by achieving consumption, bookings, and activation goals. Build executive-backed opportunities, develop repeatable field plays, enable account teams, and coordinate sales, solutions architecture, business units, and partners. Translate customer and market feedback into product and go-to-market recommendations while expanding production deployments. The role requires enterprise software sales or consulting experience in BI, analytics, data platforms, embedded analytics, or business-facing AI, along with complex buying-center navigation, value selling, land-and-expand execution, and partner strategy development.
The summary above was generated by AI

SLSQ427R458

We are looking for a Genie Sales Director (IC) to accelerate adoption of Databricks Genie across large enterprise customers. This role will connect line-of-business priorities with data, BI, and AI capabilities—helping customers move from high-value business questions to trusted, production-grade Genie experiences while enabling the field to scale the motion.

The impact you will have
  • Deliver assigned Genie consumption, bookings, and activation goals by prioritizing high-potential enterprise accounts and converting unactivated demand into production usage.
  • Increase the number of enterprise Genie opportunities that achieve executive-backed business validation and progress from an initial use case to repeatable production deployments.
  • Build and scale field plays around Genie, semantic models, trusted data, and line-of-business analytics that create measurable pipeline and usage growth.
  • Improve field execution by equipping account teams and specialists with repeatable guidance on use-case discovery, qualification, value articulation, demonstrations, 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 business-facing analytics and AI.
  • Build internal and external executive credibility for Genie, increasing strategic sponsorship and expanding adoption across priority accounts.
What we look for
  • Enterprise software sales or consulting experience in BI, analytics, data platforms, embedded analytics, or business-facing AI solutions, with a track record of exceeding quota or comparable growth goals.
  • Experience selling into complex organizations and mapping buying centers across CIOs, data and IT executives, line-of-business leaders, program managers, and technical practitioners.
  • Demonstrated ability to turn business problems into compelling use cases, quantified business cases, and executive-level value narratives.
  • Experience driving land-and-expand motions from initial adoption through broader account penetration and production scale.
  • Customer and market experience in one or more complex or regulated industries, such as financial services, life sciences, retail, or manufacturing.
  • Ability to build and activate partner strategies that contribute to implementation quality, time to value, and customer success.
  • Ability to explain complex data, BI, semantic-model, and AI concepts in clear language and build credibility with both business and technical audiences.

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

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, X, YouTube, and Instagram.
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.

HQ

Databricks San Francisco, California, USA Office

160 Spear Street, San Francisco, CA, United States, 94105

Databricks Mountain View, California, USA Office

351 E Evelyn Ave Mountain View, CA USA, Mountain View, United States, 94041

Similar Jobs

4 Minutes Ago
Remote or Hybrid
Senior level
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Own Flow’s AWS platform, infrastructure as code, CI/CD delivery pipelines, production PostgreSQL operations, isolated customer workload execution, and AI runtime operations. Responsibilities include security and least-privilege access, gated releases, migrations, rollback, model routing, cost attribution, evaluation pipelines, SLOs, on-call support, product development, mentoring, and knowledge-sharing.
Top Skills: Ai/MlAWSAws CdkCi/CdGitGithub ActionsInfrastructure As CodePostgresPulumiTypescript
5 Minutes Ago
Remote or Hybrid
126K-209K Annually
Senior level
126K-209K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Oversee market success for ServiceNow CPQ and CRM products. Develop territory strategies, support account planning, identify specialty solution opportunities, and help customers understand the value of digital transformation. Partner with account teams, solution consultants, customers, and partners; coach sales representatives on specialty solution knowledge; and support solution wins throughout the sales cycle.
Top Skills: AICpqCRMDigital TransformationServicenow
5 Minutes Ago
Remote or Hybrid
150K-262K Annually
Senior level
150K-262K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Owns end-to-end delivery of enterprise AI product capabilities, including roadmap development, feature prioritization, requirements and specifications, launch execution, and iteration. Partners closely with engineering, data science, customers, and cross-functional stakeholders to resolve technical tradeoffs, analyze usage data, define metrics, and deliver customer-focused outcomes. Requires hands-on experience shipping AI or data-powered products and supporting enterprise pilots, UAT, go-live, and stabilization.
Top Skills: AIConversational SystemsData ScienceExperimentationProduct Analytics

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account