Lakebase Associate Director: AI Data Platform Growth

Zekai; United States; A distancia; USD 180.000 - 260.000; Jornada completa

Descripción de la vacante

Databricks is seeking a Lakebase Associate Director Specialist to drive adoption of Lakebase, our managed Postgres offering, within the Lakebase Go-To-Market team. You will partner with regional Account Executives and cross-functional teams to accelerate revenue in a defined territory across platform, application, and data teams.

In this role you will run complex, multi-stakeholder sales cycles, articulate the business value of fully-managed Postgres for operational workloads, and orchestrate

Formación

• 7+ years of enterprise SaaS sales experience.
• Proven success selling data platforms or operational databases to technical and business buyers.
• Strong understanding of modern data architectures and cloud-native services.
• Ability to lead specialist motions and C-level conversations.
• Excellent communication, storytelling, and negotiation skills.

Responsabilidades

• Drive Lakebase activations and consumption within a defined territory.
• Lead with outcomes for platform, data, and developer teams.
• Win against legacy DBs by leveraging benchmarks and references.
• Orchestrate proof-of-value and POCs with architects and specialists.

Conocimientos

Enterprise SaaS sales

Data platform selling

Modern data architectures

Executive engagement

Value selling

Negotiation/communication

C-level conversations

Team collaboration

Bachelor’s degree

Educación

Bachelor's degree or equivalent

Descripción del empleo

Databricks is seeking a Lakebase Associate Director Specialist to drive adoption of Lakebase, our managed Postgres offering, within the Lakebase Go-To-Market team. You will partner with regional Account Executives and cross-functional teams to accelerate revenue in a defined territory across platform, application, and data teams.

In this role you will run complex, multi-stakeholder sales cycles, articulate the business value of fully-managed Postgres for operational workloads, and orchestrate