Lakebase Sales Specialist (Postgres)

Location: United States; candidates in other locations may also be considered.

Base salary or on-target earnings: $292,500–$402,150 USD annually, depending on pay zone and candidate-specific factors. Additional compensation may include performance bonus, equity, and benefits.

Company

Databricks is a data and AI company providing a unified platform for data engineering, analytics, machine learning, operational databases, and AI applications.

What you will do

• Drive new Lakebase revenue, activations, and consumption within a defined territory alongside regional Account Executives.
• Position fully managed Postgres for platform teams, developers, data teams, and central IT.
• Lead complex sales cycles from discovery and value hypothesis through negotiation and close.
• Orchestrate proof-of-value initiatives and POCs for OLTP workloads, reverse ETL, and AI/ML-driven applications.
• Develop strategic accounts, support Postgres standardization and migration, and compete with legacy and cloud-native databases.
• Partner with Product Management, Marketing, Customer Success, Partners, ISVs, and GSIs to build pipeline and enable the field.

Requirements

• 7+ years of enterprise SaaS sales experience with consistent quota achievement in complex, multi-stakeholder deals.
• Experience selling data platforms, operational databases such as Postgres or MySQL, cloud-native DBaaS, or adjacent data and AI infrastructure.
• Strong understanding of cloud-native services, microservices, event-driven systems, and modern data and application architectures.
• Ability to sell to developers, architects, data engineers, product leaders, operations stakeholders, and business decision-makers.
• Experience leading specialist or overlay sales motions with core Account Executives.
• Executive presence, strong value-selling, communication, storytelling, negotiation, and presentation skills; bachelor’s degree or equivalent practical experience.

Nice to have

• Experience selling Postgres, OLTP workloads, transactional cloud database services, or operational databases in strategic accounts.
• Familiarity with lakehouse architectures, AWS, Azure, GCP, reverse ETL, real-time decisioning, and operational analytics.
• Exposure to AI-native and agent-driven applications requiring low-latency operational data services.
• Experience in a high-growth, category-creating environment or with partner and ISV co-selling motions.

Culture & Benefits

• Comprehensive benefits and perks vary by region.
• Eligibility may include an annual performance bonus, equity, and regional benefits.
• Inclusive hiring practices and an environment designed to support diverse employees.
• Export-controlled technology or source-code access may require a U.S. government license at the employer’s discretion.

Hiring process

• The interview process evaluates business ownership, strategic account engagement, field and customer enablement, and market voice and thought leadership.