Lakebase Sales Specialist, Associate Director (Germany)

As Lakebase Account Executive, you drive revenue for Lakebase within strategic accounts by partnering with regional AEs and cross-functional teams. You articulate the value of fully-managed Postgres for operational workloads and AI-native apps, guiding multi stakeholder deals from discovery to close. You will orchestrate POCs, leverage compete assets, and enable teams to scale Lakebase adoption across key accounts. This role sits in the Lakebase Go-To-Market group, shaping territory plans and co-selling motions with partners.

• Drive Lakebase revenue within a defined territory in collaboration with regional AEs
• Lead with outcomes for platform, data, and developer personas to showcase value
• Manage complex, multi-threaded sales cycles from discovery to close
• Orchestrate proofs-of-value and POCs for OLTP, reverse ETL, and AI/ML workloads
• Differentiate Lakebase against legacy and cloud-native databases using assets and references
• Collaborate cross-functionally to shape territory plans, launches, and co-selling motions
• Enable field teams by sharing Lakebase best practices and sales motions
• Represent Databricks in events and discussions to build market presence

• 7+ years of enterprise SaaS sales experience with a track record of over-quota performance
• Proven success selling data platforms or operational databases to technical and business buyers
• Strong understanding of modern data architectures and cloud-native services
• Ability to sell to both technical and business stakeholders
• Experience leading overlay specialist motions with core Account Executives
• Executive presence to lead C-level conversations and build trust with senior decision makers
• Strong value selling, business case development, and outcome-focused storytelling
• Bachelor’s degree or equivalent practical experience

• excellent communication and storytelling
• negotiation skills
• strategic account management
• Postgres and other operational databases (e.g., MySQL)
• cloud-native DBaaS and modern data architectures
• data platforms and lakehouse concepts