CustomerLake Sales Specialist
Join Databricks as a CustomerLake Sales Specialist to drive customer experience transformation in the AI era.
Posted by employer 10 hours ago
First seen on Joblaze 1 hour ago
Last verified on the company career page 1 hour ago
Skills & Technologies
What you'll build
- Build pipeline and drive CustomerLake revenue
- Engage CMOs and marketing operations teams
- Coordinate discovery and customer evaluations
- Turn early wins into repeatable sales plays
- Equip account teams to identify CustomerLake opportunities
Must have
- 7+ years of enterprise SaaS sales experience
- Proven marketing technology sales experience
- Understanding of customer profiles and segmentation
- Ability to build quantified business cases
- Experience developing opportunities with Account Executives
Nice to have
- Experience selling CDPs or customer engagement software
- Familiarity with Databricks and cloud data platforms
- Experience developing joint opportunities with technology partners
AI in the day-to-day
CustomerLake brings customer data, AI, and marketing together to power trusted customer profiles.
Requirements
- Experience
- 7+ years
- Education
- Bachelor's degree
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
The CustomerLake Sales Specialist at Databricks focuses on driving the adoption and revenue of the CustomerLake platform by collaborating with regional Account Executives and engaging key marketing stakeholders. This role requires extensive experience in enterprise SaaS sales, particularly in marketing technology, and a strong understanding of customer data and value-based selling. Ideal candidates will have a proven track record of closing complex deals and building new business territories. As one of the initial members of the CustomerLake sales team, this position plays a crucial role in shaping the sales strategy and approach.
Joblaze insights
- Listed today — first seen on Joblaze October 27, 2026. Last confirmed on Databricks's careers page October 27, 2026.
- AI/ML appears in 18.3% of 1802 comparable senior sales/marketing roles in United States; Marketing Technology appears in 0.6% of 1802 comparable senior sales/marketing roles in United States.
Quick facts
- How much experience is required?
- At least 7 years of relevant experience for this CustomerLake Sales Specialist role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, Marketing Technology, SaaS, customer data.
- What seniority level is this role?
- Databricks targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this CustomerLake Sales Specialist role at Databricks.
From the original posting
SLSQ427R663
CustomerLake Sales Specialist
San Francisco-CA
New York-NY
Seattle-WA
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
BenefitsStandard company text repeated across Databricks's postings is omitted here.