CustomerLake Sales Specialist
Databricks is hiring a CustomerLake Sales Specialist. Level rates it ; you can apply on Databricks.
Level's read on this job
- Level rates this sales role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions enterprise sales, saas and marketing technology among its tools and skills.
- Level classes it as a senior role.
- Databricks has 919 other open roles on Level.
AI in this role
Drive sales and adoption of Databricks' CustomerLake platform tailored for the agentic AI era.
SLSQ427R663
CustomerLake Sales SpecialistUnited States
Multiple Locations
Databricks is hiring a CustomerLake Sales Specialist to help enterprises transform customer experiences for the agentic AI era. CustomerLake brings customer data, AI, and marketing together to power trusted customer profiles, audience activation, and personalized experiences.
As one of the first members of the CustomerLake specialist sales team, you will help build this business. You’ll partner with regional Account Executives to drive adoption across enterprise and strategic accounts, engaging CMOs and their organizations alongside data and technology leaders.
The impact you will have
- Grow the business: Build pipeline and drive CustomerLake revenue, adoption, and consumption alongside regional Account Executives.
- Win marketing buyers: Engage CMOs, CRM leaders, and marketing operations teams around retention, personalization, campaign performance, and customer lifetime value.
- Lead opportunities through close: Coordinate discovery, customer evaluations, business cases, and negotiations with marketing and technical stakeholders.
- Shape the sales approach: Turn early wins and customer feedback into repeatable sales plays, stronger messaging, and product insights.
- Enable the broader field: Equip account teams and partners to identify CustomerLake opportunities and communicate its value.
What we look for
- 7+ years of enterprise SaaS sales experience, with consistent quota achievement and success closing complex deals.
- Proven marketing technology sales experience, including selling directly to CMOs and across their organizations—particularly VPs of CRM, marketing operations, and customer engagement leaders.
- Marketing and customer data fluency: Understanding of customer profiles, segmentation, activation, personalization, and how marketing teams evaluate investments.
- Value-based selling: Ability to build quantified business cases and align marketing buyers with data, IT, security, and procurement teams.
- Collaborative execution: Experience developing and winning opportunities alongside core Account Executives and technical specialists.
- Experience building a business: Success establishing a new territory, product business, or sales approach while working through ambiguity.
- A bachelor’s degree or equivalent relevant experience.
Preferred qualifications
- Experience selling CDPs, customer engagement, personalization, or customer data activation software into large enterprises.
- Familiarity with Databricks, cloud data platforms, consumption-based sales, and AI applications in marketing.
- Experience developing joint opportunities with technology partners, systems integrators, or marketing services firms.
Standard Databricks U.S. recruiting language and the approved compensation range to be appended.
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
CustomerLake Sales Specialist at Databricks rates 65 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
- Typical sales job
- $139k
This posting doesn't list pay. Use the typical sales figure when pay comes up. See sales jobs
Questions you could be asked
- Tell me about a project where enterprise sales was part of your work. What did you do?
- Tell me about a project where saas was part of your work. What did you do?
- Tell me about a project where marketing technology was part of your work. What did you do?
- Tell me about a project where customer data platform 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?
Adapt your resume
- List these exact terms on your resume: Enterprise Sales, Saas, Marketing Technology, and Customer Data Platform. 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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