Primary record

Lakebase Associate Director- Financial Services

Databricks Indexed employerUnited States · Remote - California
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Workplace

remote

Employment

Internship

Published

Aug 24, 2026

Closes

No date supplied

The role

SLSQ327R320

Databricks is seeking a Lakebase Associate Director to help customers modernize their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with Industry Account Executives within our Financial Services vertical to drive adoption of Lakebase with platform, application, and data teams.

Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity.

The impact you will have

• Drive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team.

• Lead with outcomes for key Lakebase personas — including platform teams and developers, data teams, and central IT — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.

• Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.

• Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.

• Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partn

Requirements

Department: HQ Management