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Lakebase Sales Specialist, Director

Leads enterprise sales for Databricks Lakebase, driving adoption of its managed Postgres platform across strategic accounts. The role requires 8+ years of complex SaaS sales experience, technical and executive selling ability, and familiarity with databases, cloud architectures, and data/AI infrastructure.

About the job

Responsibilities

  • Drive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, partnering with regional Account Executives and account teams.
  • Articulate Lakebase’s value to platform teams, developers, data teams, and central IT, including faster feature delivery, simplified operational data architectures, governance, and cost efficiency.
  • Sell fully managed Postgres for intelligent applications and real-time, AI-driven operational workloads.
  • Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close.
  • Orchestrate proof-of-value initiatives and POCs for OLTP workloads, reverse ETL, and AI/ML-driven applications with solution architects and specialists.
  • Compete against legacy and cloud-native operational databases using competitive assets, benchmarks, and customer references.
  • Align sales efforts to measurable outcomes such as performance, developer productivity, time to market, cost reduction, and operational-data simplification.
  • Partner with Product Management, Marketing, Customer Success, and Partner teams on territory plans, launch plays, and co-selling motions.
  • Enable the broader field through Lakebase best practices, success stories, and sales motions.
  • Establish strategic focus accounts and engage application development teams to create intelligent applications using Lakebase.
  • Drive Postgres standardization and migration within strategic accounts.
  • Track revenue, pipeline, and business observations; identify areas needing additional focus or support.
  • Engage priority accounts across the global DB700 and drive opportunities from initial engagement through successful outcomes.
  • Equip account executives and solution architects with Lakebase messaging and execution motions.
  • Contribute to internal forums and represent Databricks at relevant events.

Requirements

  • 8+ years of enterprise SaaS sales experience with consistent quota attainment 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 operational data’s role in AI and analytics strategies.
  • Ability to sell to technical stakeholders, including developers, architects, and data engineers, as well as business stakeholders.
  • Experience leading specialist or overlay sales motions in partnership with core Account Executives.
  • Executive presence, including the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision-makers.
  • Strong value-selling, business-case development, communication, storytelling, and negotiation skills.
  • Bachelor’s degree or equivalent practical experience.

Preferred Qualifications

  • Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services to large or strategic accounts.
  • Familiarity with data platforms, lakehouse architectures, AWS, Azure, and GCP.
  • Understanding of reverse ETL, real-time decisioning, and operational analytics use cases.
  • Exposure to AI-native and agent-driven applications using low-latency, scalable operational data services.
  • Experience in a high-growth, category-creating environment.
  • Experience collaborating with partners and ISVs on joint pipeline and co-selling motions.

Skills

Enterprise Saas Sales, Postgres, MySQL, Cloud-Native Services, Dbaas, Microservices, Event-Driven Architecture, Oltp, Reverse Etl, AI/ML, AWS, Azure, GCP, Lakehouse Architecture, Value Selling

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