Databricks is seeking a Lakebase Sales Specialist 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 regional Account Executives to drive adoption of Lakebase with platform, application, and data teams.
Requirements:
Proven enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals.
Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders.
Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.
Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners).
Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities.
Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers.
Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.
Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences.
Bachelors degree or equivalent practical experience.
Preferred qualifications
Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts.
Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.
Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications.
Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services.
Prior experience in a high-growth, category-creating environment, helping shape new plays, messaging, and customer narratives.
Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions.
Proven enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals.
Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders.
Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.
Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners).
Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities.
Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers.
Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.
Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences.
Bachelors degree or equivalent practical experience.
Preferred qualifications
Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts.
Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.
Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications.
Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services.
Prior experience in a high-growth, category-creating environment, helping shape new plays, messaging, and customer narratives.
Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions.
This position is open to all candidates.
