Sales Specialist – Lakebase

About the role

Databricks is seeking a Lakebase Sales Specialist Account Executive to help customers modernize their operational data foundation with Databricks Lakebase, a fully‑managed Postgres offering for intelligent applications. The role sits within the Lakebase Go‑to‑Market team and works closely with regional Account Executives to drive adoption across platform, application, and data teams.

Key responsibilities

• Drive new Lakebase revenue by identifying, qualifying, and closing opportunities within a defined territory.
• Lead outcomes for platform teams, developers, data teams, and central IT, showing how Lakebase speeds feature delivery and improves governance.
• Sell fully‑managed Postgres for intelligent applications, positioning Lakebase for real‑time, AI‑driven workloads.
• Run complex, multi‑threaded sales cycles from discovery through negotiation and close.
• Orchestrate proof‑of‑value and POCs for OLTP workloads, reverse ETL, and AI/ML‑driven applications.
• Compete against legacy and cloud‑native operational databases using benchmarks and customer references.
• Partner with Product, Marketing, Customer Success, and Partners to shape territory plans and co‑selling motions.

Required profile

• 7+ years of enterprise SaaS sales experience with a record of exceeding quota.
• Proven success selling data platforms, operational databases (Postgres, MySQL, cloud‑native DBaaS) or related data/AI infrastructure.
• Strong understanding of modern data and application architectures, cloud‑native services, microservices, and event‑driven systems.
• Ability to engage both technical (developers, architects) and business stakeholders (product leaders, operations).
• Experience leading specialist or overlay motions alongside core Account Executives.
• Executive presence, white‑boarding skills, and ability to lead C‑level conversations.

Required skills

• Postgres
• MySQL
• Cloud‑native DBaaS
• AWS
• Azure
• Google Cloud Platform (GCP)
• Lakehouse architectures
• Reverse ETL
• Real‑time decisioning
• Operational analytics