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SLSQ427R582
Global Genie Sales Leader
We are looking for a highly strategic and execution-oriented Genie Global Leader to lead a team of specialists responsible for growing the Databricks Genie business globally.
Databricks Genie extends the Data Intelligence Platform into conversational AI through Genie One, delivering a true AI co-worker for non-technical business teams and leaders. By grounding query accuracy in business context through the Genie One Ontology, Genie One enables enterprise decision-makers to effortlessly query, analyze, and extract trusted insights directly from governed enterprise data using natural language. This role sits at the center of a major shift in enterprise architecture as organizations move away from fragmented stacks consisting of legacy BI tools, static dashboards, and separate AI interfaces toward a unified, conversational data platform powered by enterprise context.
You will lead a team of specialists partnering with Account Executives, Solution Architects, and Sales Leadership to help customers modernize their business intelligence, democratize data access across non-technical users, and operationalize conversational AI in production analytics workflows. This role requires both strong sales leadership and the ability to establish and scale a new sales motion across a global field organization.
This is a highly visible global role across Sales, Product, and Engineering, and will help define how Databricks engages business intelligence leaders, data leaders, and non-technical business stakeholders at scale.
The impact you will have:
- Drive Revenue Growth
- Build and exceed quarterly and annual consumption and booking targets for Genie
- Develop pipeline across legacy BI migration, AI-driven business intelligence, and enterprise-wide data access opportunities.
- Help customers replace or modernize legacy BI tools and point solutions by establishing Databricks as their primary conversational analytics platform
- Establish repeatable sales plays that drive land and expand adoption
- Lead and Develop a Specialist Team
- Recruit, hire, and develop a high-performing team of Genie Sales Specialists
- Coach the team on complex deal strategy, technical qualification, and executive engagement
- Create a culture of accountability, customer focus, and operational excellence
- Partner with regional sales leadership to integrate specialists into account plans and territory strategies
- Strategic Customer and Partner Engagement
- Establish executive relationships with corporate executives, CIOs, CTOs, Chief Architects, platform leaders, and technical decision makers
- Position Databricks as an application data platform in addition to a data and AI platform
- Support strategic customers pursuing application modernization or real-time digital transformation initiatives
- Collaborate with cloud providers, SIs, and ISVs to accelerate adoption
- Influence Product and GTM Strategy
- Act as the voice of the field to Product and Engineering teams
Provide structured feedback on customer requirements, competitive dynamics, and market adoption patterns - Partner with Product Marketing to refine messaging, positioning, and competitive differentiation
- Help shape Databricks’ long-term AI/BI and enterprise data intelligence platform strategy
What we look for:
- 15+ years of experience in enterprise software, SaaS, cloud platform, or developer platform sales
- 5+ years of experience leading high-performing enterprise sales or specialist teams
- Demonstrated success building new categories or scaling new product businesses
- Previous Sales experience in fast paced innovative start up companies in domains such as cowork, search and ai/bi and conversational ai.
- Strong understanding of modern application architectures, including APIs, microservices, real-time systems, and distributed applications
- Experience selling into CIO, CTO, architecture, and platform engineering organizations
- Ability to lead complex multi-stakeholder enterprise sales cycles
- Proven record of exceeding revenue targets in highly competitive markets
- Ability to translate technical platform capabilities into business value for executives and developers
- Excellent communication and executive presentation skills
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.
Skills Required
- 15+ years of experience in enterprise software, SaaS, cloud platform, or developer platform sales
- 5+ years of experience leading high-performing enterprise sales or specialist teams
- Demonstrated success building new categories or scaling new product businesses
- Previous sales experience in fast-paced innovative startup companies, including cowork, search, AI/BI, or conversational AI domains
- Strong understanding of modern application architectures, including APIs, microservices, real-time systems, and distributed applications
- Experience selling to CIO, CTO, architecture, and platform engineering organizations
- Ability to lead complex, multi-stakeholder enterprise sales cycles
- Proven record of exceeding revenue targets in highly competitive markets
- Ability to translate technical platform capabilities into business value for executives and developers
- Excellent communication and executive presentation skills
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Healthcare Strength — Company materials highlight comprehensive medical, dental, and vision coverage alongside mental-health resources, wellness reimbursements, and business travel insurance. Offerings are described as broad and modern, with core health coverage consistently emphasized.
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Parental & Family Support — Paid parental leave is explicitly called out, with details such as up to 20 weeks for birthing parents and up to 12 weeks for non-birthing parents in the U.S. Public materials also reference family-forming support, reinforcing the focus on families.
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Wellbeing & Lifestyle Benefits — Wellness programs and perks include gym reimbursement, periodic wellness events (e.g., yoga, massages), and in-office meals and snacks in many locations. Personal development funds and discounts further enhance lifestyle and growth support.
Databricks Insights
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
