Lakebase Sales Specialist

Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.

Series F+0 current maintainers0 active leads
160 Spear Street, Suite 1300, San Francisco, CA 94105, United States
About Databricks

Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.

View jobs by Databricks

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will help customers modernize their operational data foundation with Databricks Lakebase, a fully-managed Postgres offering for intelligent applications. You will work with regional Account Executives to drive activations and consumption, run proofs of value, and enable the field.

Requirements

  • Proven enterprise SaaS sales experience, consistently exceeding quota in complex deals
  • Proven success selling data platforms or operational databases
  • Strong understanding of modern data and application architectures
  • Ability to sell to technical and business stakeholders
  • Experience leading specialist or overlay motions
  • Executive presence and ability to whiteboard architectures
  • Strong value selling skills
  • Excellent communication, storytelling and negotiation skills
  • Bachelor's degree or equivalent practical experience

Responsibilities

  • Drive new Lakebase revenue by identifying, qualifying and driving activations and consumption within a defined territory
  • 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 proofs of value and POCs
  • Compete and win against legacy and cloud-native operational databases
  • Align to measurable business outcomes
  • Partner cross-functionally with Product Management, Marketing, Customer Success and Partner teams
  • Enable the field with Lakebase best practices and sales motions