Drimva

Databricks

Lakebase Associate Director, Healthcare & Life Sciences

$292K–$402K

Central - United States +5 · Remote · Director · Full-time · Posted Jun 2, 2026

Location
Central - United States
Northeast - United States
Southeast - United States
United States
West Coast - United States
Remote - New York
Experience
7+ years of enterprise SaaS sales experience.
Education
Bachelor’s degree or equivalent practical experience.

About the job

Drives Lakebase adoption and revenue among healthcare and life sciences customers by leading strategic sales, technical evaluations, and account-team coordination.

What you'll do

  • Identify and close Lakebase opportunities, managing complex sales cycles and aligning technical and business stakeholders around measurable outcomes.
  • Orchestrate proof-of-value projects and position Lakebase against legacy and cloud-native operational databases.
  • Coordinate with account teams and cross-functional partners, and enable broader sales teams with Lakebase messaging and sales practices.

What they ask for

  • 7+ years of enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals.
  • Success selling data platforms, operational databases, or adjacent data/AI infrastructure to technical buyers and business leaders.
  • Strong understanding of modern data and application architectures, including cloud-native services, microservices, and event-driven systems.
  • 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, cloud ecosystems (AWS, Azure, GCP), reverse ETL, or AI-native applications.

Pay

$292,500—$402,150 USD (expected salary range for non-commissionable roles or on-target earnings for commissionable roles)

Tools

Lakebase, Postgres, MySQL, AWS, Azure, GCP, reverse ETL, OLTP

AI focus

Sell Lakebase as operational data infrastructure for AI-native and agent-driven applications; lead evaluations involving AI/ML-driven applications and real-time AI experiences.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 6, 2026 (UTC)