Regional Vice President, Lakebase Sales Specialists
United StatesFull-TimeDirectorCustomer Acquisition
Regional Vice President, Lakebase Sales Specialists (North America)
- We are looking for a highly strategic and execution-oriented Regional Vice President, Lakebase Sales Specialists to lead a team of specialists responsible for growing the Databricks Lakebase business Globally.
- Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organizations move away from fragmented stacks consisting of operational databases, data warehouses, and separate AI platforms toward a unified data and application platform.
- You will lead a team of specialists partnering with Account Executives, Solution Architects, and Sales Leadership to help customers modernize legacy databases, simplify application architectures, and operationalize AI in production systems. This role requires both strong sales leadership and the ability to create a new sales motion across a global field organization.
- This is a highly visible role across Sales, Product, and Engineering and will help define how Databricks engages developer and platform engineering buying centers at scale.
The impact you will have:
- Drive Revenue Growth Build and exceed quarterly and annual consumption and booking targets for Lakebase Develop pipeline across application modernization, database consolidation, and operational workload opportunities Help customers replace or consolidate legacy operational databases onto the Databricks platform Establish repeatable sales plays that drive land and expand adoption
- Build and exceed quarterly and annual consumption and booking targets for Lakebase
- Develop pipeline across application modernization, database consolidation, and operational workload opportunities
- Help customers replace or consolidate legacy operational databases onto the Databricks platform
- Establish repeatable sales plays that drive land and expand adoption
- Build and exceed quarterly and annual consumption and booking targets for Lakebase
- Develop pipeline across application modernization, database consolidation, and operational workload opportunities
- Help customers replace or consolidate legacy operational databases onto the Databricks 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 Lakebase 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
- Recruit, hire, and develop a high-performing team of Lakebase 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
- Recruit, hire, and develop a high-performing team of Lakebase 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
- Build the Developer and Platform Sales Motion Define how Databricks sells to application developers, platform engineering, and architecture organizations Enable the core field to identify and engage operational workload opportunities Develop discovery frameworks for application architectures, real-time systems, and transactional workloads Create repeatable plays for engaging developers, running architecture workshops, and demonstrating business value
- Define how Databricks sells to application developers, platform engineering, and architecture organizations
- Enable the core field to identify and engage operational workload opportunities
- Develop discovery frameworks for application architectures, real-time systems, and transactional workloads
- Create repeatable plays for engaging developers, running architecture workshops, and demonstrating business value
- Define how Databricks sells to application developers, platform engineering, and architecture organizations
- Enable the core field to identify and engage operational workload opportunities
- Develop discovery frameworks for application architectures, real-time systems, and transactional workloads
- Create repeatable plays for engaging developers, running architecture workshops, and demonstrating business value
- Strategic Customer and Partner Engagement Establish executive relationships with CIOs, CTOs, Chief Architects, and platform leaders 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
- Establish executive relationships with CIOs, CTOs, Chief Architects, and platform leaders
- 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
- Establish executive relationships with CIOs, CTOs, Chief Architects, and platform leaders
- 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 teamsProvide structured feedback on customer requirements, competitive dynamics, and market adoption patternsPartner with Product Marketing to refine messaging, positioning, and competitive differentiationHelp shape Databricks’ long-term operational database and application platform strategy
- Act as the voice of the field to Product and Engineering teamsProvide structured feedback on customer requirements, competitive dynamics, and market adoption patternsPartner with Product Marketing to refine messaging, positioning, and competitive differentiationHelp shape Databricks’ long-term operational database and application platform strategy
- Act as the voice of the field to Product and Engineering teamsProvide structured feedback on customer requirements, competitive dynamics, and market adoption patternsPartner with Product Marketing to refine messaging, positioning, and competitive differentiationHelp shape Databricks’ long-term operational database and application platform strategy
What we look for
- 15+ years experience in enterprise software, SaaS, cloud platform, database, or developer platform sales
- 5+ years experience leading high-performing enterprise sales or specialist teams
- Demonstrated success building new categories or scaling new product businesses
- 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
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.
