Lakebase Sales Specialist

The role

The Lakebase Sales Specialist will drive Lakebase revenue by identifying and qualifying activations and consumption within a defined territory. This role involves selling the value of fully-managed Postgres for intelligent applications and partnering with regional Account Executives.

What you will do

• Drive new Lakebase revenue by identifying, qualifying, and driving activations and consumption.
• 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 measurable business outcomes like performance 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

• Proven 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.
• Fluency in English and in Italian required.

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.

Benefits

• Annual performance bonus
• Equity

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.