Lakebase Specialist Sales
Databricks · Singapore · 2026-07-01
About this role
<p>SLSQ327R384<br><br>Databricks is seeking a&nbsp;<strong>Lakebase Sales Specialist Account Executive</strong>&nbsp;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.</p> <p>Lakebase gives customers a unified, governed foundation for&nbsp;operational workloads&nbsp;and&nbsp;AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity.</p> <h3><strong>The impact you will have</strong></h3> <ul> <li>Drive new Lakebase revenue&nbsp;by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team.</li> <li>Lead with outcomes&nbsp;for key Lakebase personas — including&nbsp;platform teams and developers,&nbsp;data teams, and&nbsp;central IT&nbsp;— articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.</li> <li>Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.</li> <li>Run complex, multi-threaded sales cycles&nbsp;from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.</li> <li>Orchestrate proof-of-value and POCs&nbsp;that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.</li> <li>Compete and win&nbsp;against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.</li> <li>Align to measurable business outcomes&nbsp;such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.</li> <li>Partner cross-functionally&nbsp;with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.</li> <li>Enable the field&nbsp;by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization.</li> </ul> <h3><strong>What success looks like in this role</strong></h3> <p>This role requires the ability to operate across&nbsp;<strong>two key motions</strong>&nbsp;simultaneously:</p> <ul> <li><strong>Establish top strategic focus accounts</strong>&nbsp;by engaging application development teams to create net-new intelligent applications leveraging Lakebase.</li> <li><strong>Drive longer-term Postgres standardization and migration</strong>&nbsp;within Databricks' most strategic accounts.</li> </ul> <p>Candidates should demonstrate how they can&nbsp;act as a force multiplier&nbsp;across multiple dimensions of the business.</p> <p>Success in this role requires strength in four areas:</p> <ol> <li><strong>Business ownership</strong>&nbsp;– Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.</li> <li><strong>Strategic account engagement</strong>&nbsp;– Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.</li> <li><strong>Field enablement</strong>&nbsp;– Build and execute enablement plans that empower AEs and SAs to confidently carry the Lakebase conversation even when the specialist is not present.</li> <li><strong>Market voice and thought leadership</strong>&nbsp;– 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.</li> </ol> <p>The interview process is designed to evaluate candidates across all four of these dimensions.</p> <h2><strong>What we look for</strong></h2> <ul> <li>7+ years of enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals.</li> <li>Proven success selling&nbsp;data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure&nbsp;to technical buyers and business leaders.</li> <li>Strong understanding of&nbsp;modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.</li> <li>Ability to sell to both&nbsp;technical stakeholders&nbsp;(developers, architects, data engineers) and&nbsp;business stakeholders&nbsp;(product leaders, operations, line-of-business owners).</li> <li>Demonstrated experience leading&nbsp;specialist or…
Skills asked for
- databricks
- postgres
- go
- mysql
- microservices
- aws
- azure
- gcp
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