Lakebase Sales Specialist, Associate Director (Germany)

The role

The Lakebase Sales Specialist will drive revenue by identifying, qualifying, and closing Lakebase opportunities. This role involves partnering with regional Account Executives to drive adoption of a fully-managed Postgres offering with platform, application, and data teams.

What you will do

• Drive new Lakebase revenue by identifying, qualifying, and closing opportunities.
• Lead with outcomes for platform teams, developers, data teams, and central IT.
• Sell the value of fully-managed Postgres for intelligent applications.
• Run complex, multi-threaded sales cycles from discovery to close.
• Orchestrate proof-of-value and POCs in partnership with solution architects.
• Compete against legacy and cloud-native operational databases.
• Align to business outcomes like performance, productivity, and cost reduction.
• Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams.
• Enable the field by sharing Lakebase best practices and sales motions.
• Establish strategic focus accounts and drive Postgres standardization.

Required qualifications

• 7+ years of enterprise SaaS sales experience.
• Proven success selling data platforms, operational databases, or adjacent data/AI infrastructure.
• Strong understanding of modern data and application architectures.
• Ability to sell to both technical and business stakeholders.
• Demonstrated experience leading specialist or overlay motions.
• Executive presence with the ability to whiteboard architectures and lead C-level conversations.
• Strong value selling skills.
• Excellent communication, storytelling, and negotiation skills.
• Bachelor’s degree or equivalent practical experience.

Nice to have

• Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services.
• Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP).
• Understanding of reverse ETL, real-time decisioning, and operational analytics use cases.
• Exposure to AI-native and agent-driven applications.
• Prior experience in a high-growth, category-creating environment.
• Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions.

About the company

Databricks is the Data and AI company. More than 20,000 organizations worldwide rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents.