Director, Lakebase Sales Specialist- Financial Services
Databricks is hiring a Director, Lakebase Sales Specialist- Financial Services in New York, United States. It pays $430k-$592k a year and Level rates it ; you can apply on Databricks.
Level's read on this job
- On Level's scale, this sales role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- Pay on this posting starts 209% higher than the typical sales posting on Level.
- The posting mentions sales leadership, account management and database modernization among its tools and skills.
- Level classes it as a lead role.
- Databricks has 927 other open roles on Level.
AI in this role
Lead a regional sales specialist team growing Databricks Lakebase for operational and AI workloads.
SLSQ227R822
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
We are looking for a highly strategic and execution-oriented Director, Lakebase Sales Specialists, to lead a regional team of specialists responsible for growing the Databricks Lakebase business.
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 toward a unified data and application platform.
In this role, you will manage a team of specialists partnering directly with Account Executives, Solution Architects, and regional Sales Leadership to help customers modernize legacy databases, simplify application architectures, and operationalize AI in production systems. This role requires strong sales leadership, deep domain expertise, and the ability to execute a specialized sales motion across a regional field organization.
This is a highly visible role that collaborates closely with Global Sales Leadership, Product, and Engineering to help scale how Databricks engages developer and platform engineering buying centers.
The Impact You Will Have:
- Drive Revenue Growth
- Own, manage, and exceed quarterly and annual consumption and booking targets for Lakebase within the region.
- Build and maintain a healthy pipeline across application modernization, database consolidation, and operational workload opportunities.
- Support the team in replacing or consolidating legacy operational databases onto the Databricks platform.
- Execute and scale repeatable sales plays that drive land-and-expand adoption.
- Lead and Develop the Specialist Team
- Recruit, hire, and manage a high-performing team of Lakebase Sales Specialists.
- Provide direct, hands-on coaching on complex deal strategy, technical qualification, and executive engagement.
- Foster a culture of accountability, execution, and customer focus.
- Partner with regional sales leadership (RVSPs/AVPs) to seamlessly integrate specialists into account plans and territory strategies.
- Execute the Developer and Platform Sales Motion
- Implement the global strategy for selling to application developers, platform engineering, and architecture organizations within your region.
- Enable the regional core field sales team to identify and qualify operational workload opportunities.
- Roll out discovery frameworks for application architectures, real-time systems, and transactional workloads.
- Lead architecture workshops and developer engagement initiatives to demonstrate tangible business value.
- Strategic Customer and Partner Engagement
- Establish trusted relationships with regional CIOs, CTOs, Chief Architects, and platform leaders.
- Position Databricks as a premier application data platform alongside its data and AI capabilities.
- Directly support the team on strategic, high-value accounts pursuing application modernization or real-time digital transformation initiatives.
- Collaborate with cloud providers, SIs, and ISVs to accelerate adoption.
- Provide Field Feedback to Product and GTM
- Serve as a critical feedback loop from the regional field to Product, Engineering, and Global Specialist Leadership.
- Provide structured insights on regional customer requirements, competitive dynamics, and blockers.
- Partner with Product Marketing to localize and refine messaging, positioning, and competitive differentiation.
What We Look For:
- 8+ years of experience in enterprise software, SaaS, cloud platform, database, or developer platform sales.
- 3+ years of experience directly managing high-performing enterprise sales or specialist teams.
- Demonstrated success in executing specialized GTM motions or scaling new product lines within a larger matrixed organization.
- Strong technical baseline and understanding of modern application architectures, including APIs, microservices, real-time systems, and distributed applications.
- Proven track record of selling into CIO, CTO, architecture, and platform engineering organizations.
- Ability to co-sell and navigate complex, multi-stakeholder enterprise sales cycles alongside core account teams.
- A proven record of meeting or exceeding revenue targets in highly competitive markets.
- Ability to translate complex technical platform capabilities into tangible business value for both executives and developers.
- Excellent communication, coaching, and presentation skills.
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$430,400—$591,800 USDZone 2 Pay Range$430,400—$591,800 USDZone 3 Pay Range$430,400—$591,800 USDZone 4 Pay Range$430,400—$591,800 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.
How we rate this
Director, Lakebase Sales Specialist- Financial Services at Databricks rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in sales jobs at this level
Pay
- This job starts at
- $430k
- Typical sales job
- $139k
This posting starts 209% above the typical sales job. See sales jobs
Questions you could be asked
- Tell me about a project where sales leadership was part of your work. What did you do?
- Tell me about a project where account management was part of your work. What did you do?
- Tell me about a project where database modernization was part of your work. What did you do?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: Sales Leadership, Account Management, and Database Modernization. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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