Lakebase Sales Specialist (Postgres)

Location: Singapore

Company

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

What you will do

• Drive new Lakebase revenue by identifying, qualifying, and closing opportunities with regional Account Executives.
• Position fully managed Postgres for operational workloads, intelligent applications, and AI-driven experiences.
• Lead complex, multi-threaded sales cycles involving executive, technical, and business stakeholders.
• Orchestrate proofs of value and POCs for OLTP workloads, reverse ETL, and AI/ML-driven applications with solution architects.
• Develop strategic account plans for new intelligent applications and longer-term Postgres standardization and migration.
• Enable sales teams, collaborate with Product, Marketing, Customer Success, and Partners, and contribute to market thought leadership.

Requirements

• 7+ years of enterprise SaaS sales experience with a consistent record of exceeding quota 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 teams, and other business stakeholders.
• Experience with specialist or overlay sales motions and joint opportunity development with core Account Executives.
• Executive presence, architecture whiteboarding skills, value selling ability, and strong communication, storytelling, and negotiation skills; bachelor’s degree or equivalent practical experience.

Nice to have

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

Culture & Benefits

• Work with a global data and AI platform used by more than 20,000 organizations.
• Inclusive hiring practices and a commitment to diversity and equal employment opportunity.
• Comprehensive benefits and perks, with details varying by region.
• Opportunity to contribute to global AMAs, internal forums, and industry events.

Hiring process

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