Lakebase Specialist Sales
Drives enterprise adoption and revenue for Databricks Lakebase, a managed Postgres service for operational and AI-native applications. The role requires 7+ years of complex SaaS sales experience, database or data-platform expertise, specialist-overlay leadership, and the ability to engage technical and executive buyers.
About the job
Responsibilities
- Drive new Lakebase revenue by identifying, qualifying, and closing opportunities within a defined territory in partnership with regional Account Executives and account teams.
- Engage platform teams, developers, data teams, and central IT, articulating Lakebase's value for faster feature delivery, simpler operational data architectures, governance, and cost efficiency.
- Sell fully managed Postgres for intelligent applications and operational workloads powering real-time, AI-driven experiences.
- Run complex, multi-threaded sales cycles from discovery and value hypothesis through negotiation and close.
- Orchestrate proofs of value and POCs for OLTP-style 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 outcomes including performance, developer productivity, time to market, cost reduction, and operational landscape simplification.
- Partner with Product Management, Marketing, Customer Success, and Partner teams on territory plans, launch plays, and co-selling motions with ISVs and GSIs.
- Enable the broader sales organization through Lakebase best practices, success stories, and sales motions.
- Establish strategic focus accounts by engaging application development teams to create intelligent applications with Lakebase.
- Drive Postgres standardization and migration within strategic accounts.
- Track revenue, pipeline, and business observations; identify areas requiring additional focus or support.
- Engage priority accounts across the global DB700 and drive opportunities from initial engagement through successful outcomes.
- Build and execute field enablement plans for Account Executives and Solution Architects.
- Contribute to internal forums and external events as a market voice and thought leader.
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 modern data and application architectures, including cloud-native services, microservices, event-driven systems, and operational data for AI and analytics.
- Ability to sell to developers, architects, data engineers, product leaders, operations teams, and line-of-business owners.
- Experience leading specialist or overlay sales motions 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, and AWS, Azure, or Google Cloud ecosystems.
- Understanding of reverse ETL, real-time decisioning, and operational analytics use cases.
- Exposure to AI-native and agent-driven applications requiring low-latency, scalable operational data services.
- Experience in a high-growth, category-creating environment shaping sales plays, messaging, and customer narratives.
- Experience collaborating with partners and ISVs on joint pipeline and co-selling motions.
Benefits
- Comprehensive benefits and perks are offered, with details varying by region.
Skills
Postgres, MySQL, Dbaas, Databricks Lakebase, AWS, Azure, GCP, Microservices, Event-Driven Systems, Reverse Etl, Oltp, AI/ML, Value Selling, Solutions Architecture, Enterprise Saas
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