Original listing text, shown exactly as published by the company.
What success looks like in this role
This role requires the ability to operate across two key motions simultaneously
- Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase.
- Drive longer-term Postgres standardization and migration within Databricks' most strategic accounts.
Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business.
Success in this role requires strength in four areas
- Business ownership – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.
- Strategic account engagement – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.
- Field, account, & customer enablement: Align customers and the field on the value of Lakebase by equipping AEs and SAs with the messaging and execution motions needed to confidently own accounts without specialist intervention.
- Market voice and thought leadership – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events.
The interview process is designed to evaluate candidates across all four of these dimensions.
What we look for
- 7+ years of 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.
- Bachelor’s 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.
