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Lakebase Account Executive

Databricks
San Francisco, CaliforniaOnsite3 days ago
full-timemid

About the Role

<p data-pm-slice="1 1 []"><span style="font-size: 10pt;"><strong>SLSQ327R175</strong></span></p> <p data-renderer-start-pos="1648"><span style="font-size: 10pt;">While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.</span></p> <ul> <li style="font-size: 10pt;" data-renderer-start-pos="1648"><span style="font-size: 10pt;">Remote - USA - All Major Cities&nbsp;</span></li> </ul> <p><span style="font-size: 10pt;">Databricks is seeking a <strong>Lakebase Sales Specialist Account Executive</strong> to help customers modernize their operational data foundation with <strong>Databricks Lakebase</strong>, our <strong>fully-managed Postgres</strong> offering for <strong>intelligent applications</strong>. 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.</span></p> <p data-renderer-start-pos="1800"><span style="font-size: 10pt;">Lakebase gives customers a unified, governed foundation for <strong>operational workloads</strong> and <strong>AI-native applications</strong>, 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.</span></p> <p data-renderer-start-pos="2006"><span style="font-size: 10pt;"><strong data-renderer-mark="true">The impact you will have: </strong></span></p> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Drive new Lakebase revenue</strong> by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Lead with outcomes</strong> for key Lakebase personas — including <strong>platform teams and developers</strong>, <strong>data teams</strong>, and <strong>central IT</strong> — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Sell the value of fully-managed Postgres for intelligent applications</strong>, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Run complex, multi-threaded sales cycles</strong> from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Orchestrate proof-of-value and POCs</strong> that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Compete and win</strong> against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Align to measurable business outcomes</strong> such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Partner cross-functionally</strong> with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Enable the field</strong> by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization.</span></li> </ul> <p><span style="font-size: 10pt;"><strong data-renderer-mark="true">What we look for:</strong></span></p> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>7+ years of enterprise SaaS sales experience</strong>, consistently exceeding quota in complex, multi-stakeholder deals.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Proven success selling <strong>data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure</strong> to technical buyers and business leaders.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Strong understanding of <strong>modern data and application architectures</strong>, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Ability to sell to both <strong>technical stakeholders</strong> (developers, architects, data engineers) and <strong>business stakeholders</strong> (product leaders, operations, line-of-business owners).</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Demonstrated experience leading <strong>specialist or overlay motions</strong>, working jointly with core Account Executives to create and progress opportunities.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Executive presence with the ability to <strong>whiteboard architectures</strong>, lead C-level conversations, and build trust with senior decision makers.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Strong <strong>value selling</strong> skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Excellent <strong>communication, storytelling, and negotiation</strong> skills, with comfort presenting to both large and small audiences.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Bachelor’s degree or equivalent practical experience.</span></li> </ul> <h2><span style="font-family: helvetica, arial, sans-serif; font-size: 10pt;"><strong>Preferred qualifications:</strong></span></h2> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Experience selling <strong>Postgres, operational databases, OLTP workloads, or transactional cloud database services</strong>, ideally within large or strategic accounts.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Familiarity with <strong>data platforms, lakehouse architectures, and cloud ecosystems</strong> (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Understanding of <strong>reverse ETL, real-time decisioning, and operational analytics</strong> use cases, and how they drive value for customer-facing and internal applications.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Exposure to <strong>AI-native and agent-driven applications</strong> that depend on low-latency, highly scalable operational data services.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Prior experience in a <strong>high-growth, category-creating environment</strong>, helping shape new plays, messaging, and customer narratives.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Experience collaborating with <strong>partners and ISVs</strong> to drive joint pipeline and co-sell motions.</span></li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>&nbsp;</p> <p><strong>Pay Range Transparency</strong></p> <p><span style="font-weight: 400; font-size: 14px;">Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.&nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page <a href="https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf">here</a>.<br></span></p> <p>&nbsp;</p></div><div class="title">Local Pay Range</div><div class="pay-range"><span>$136,000</span><span class="divider">&mdash;</span><span>$187,000 USD</span></div></div></div><div class="content-conclusion"><p><strong>About Databricks</strong></p> <p><span style="font-family: arial, sans-serif;">Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on&nbsp;<span style="color: rgb(255, 54, 33);"><a style="color: rgb(255, 54, 33);" href="https://twitter.com/databricks" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://twitter.com/databricks&amp;source=gmail&amp;ust=1700237575733000&amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C">Twitter</a>,&nbsp;<a style="color: rgb(255, 54, 33);" href="https://www.linkedin.com/company/databricks" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://www.linkedin.com/company/databricks&amp;source=gmail&amp;ust=1700237575733000&amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt">LinkedIn</a>&nbsp;<span style="color: rgb(0, 0, 0);">and</span>&nbsp;<a style="color: rgb(255, 54, 33);" href="https://www.facebook.com/databricksinc" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://www.facebook.com/databricksinc&amp;source=gmail&amp;ust=1700237575733000&amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ">Facebook</a></span>.<br><br><strong>Benefits<br><br></strong></span>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit&nbsp;<a href="https://www.mybenefitsnow.com/databricks">https://www.mybenefitsnow.com/databricks</a>.&nbsp;<br><br></p> <p><strong>Our Commitment to Diversity and Inclusion</strong></p> <p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.</p> <p><strong>Compliance</strong></p> <p><strong><span style="font-weight: 400;">If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</span></strong></p></div>

Required Skills

AWSGCPAzureRustScalaSparkRAGAgent Orchestration

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