CustomerLake Sales Specialist

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.