Lakebase Sales Specialist, Associate Director (Switzerland, Austria, Eastern Europe)

Darum lohnt es sich

pSLSQ327R344 /ppDatabricks is seeking a bLakebase Sales Specialist /b to help customers modernize their operational data foundation with bDatabricks Lakebase /b, our bfully-managed Postgres /b offering for bintelligent applications /b.

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 pLakebase gives customers a unified, governed foundation for boperational workloads /b and bAI-native applications /b, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service.

This role is based in Zurich, Switzerland and will work with our customers across the Central region. /p ppbbThe impact you will have /b /b /p /p libDrive new Lakebase revenue /b by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team. /li libLead with outcomes /b for key Lakebase personas — including bplatform teams and developers /b, bdata teams /b, and bcentral IT /b — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency. /li libSell the value of fully-managed Postgres for intelligent applications /b, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences. /li libRun complex, multi-threaded sales cycles /b from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders. /li libOrchestrate proof-of-value and POCs /b that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists. /li libCompete and win /b against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references. /li libAlign to measurable business outcomes /b such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape. /li libPartner cross-functionally /b 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 libEnable the field /b by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization. /li ppbbWhat success looks like in this role /b /b /p /p pThis role requires the ability to operate across btwo key motions /b simultaneously: /p libEstablish top strategic focus accounts /b by engaging application development teams to create net-new intelligent applications leveraging Lakebase. /li libDrive longer-term Postgres standardization and migration /b within Databricks' most strategic accounts. /li pCandidates should demonstrate how they can bact as a force multiplier /b across multiple dimensions of the business. /p pSuccess in this role requires strength in four areas: /p libBusiness ownership /b – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support. /li libStrategic account engagement /b – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes. /li libField enablement /b – Build and execute enablement plans that empower AEs and SAs to confidently carry the Lakebase conversation even when the specialist is not present. /li libMarket voice and thought leadership /b – 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 pThe interview process is designed to evaluate candidates across all four of these dimensions. /p ppbbWhat we look for /b /b /p /p lib7+ years of enterprise SaaS sales experience /b, consistently exceeding quota in complex, multi-stakeholder deals. /li liProven success selling bdata platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure /b to technical buyers and business leaders. /li liStrong understanding of bmodern data and application architectures /b, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies. /li liAbility to sell to both btechnical stakeholders /b (developers, architects, data engineers) and bbusiness stakeholders /b (product leaders, operations, line-of-business owners). /li liDemonstrated experience leading bspecialist or overlay motions /b, working jointly with core Account Executives to create and progress opportunities. /li liExecutive presence with the ability to bwhiteboard architectures /b, lead C-level conversations, and build trust with senior decision makers. /li liStrong bvalue selling /b skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes. /li liExcellent bcommunication, storytelling, and negotiation /b skills, with comfort presenting to both large and small audiences. /li liBachelor’s degree or equivalent practical experience. /li ppbbPreferred qualifications /b /b /p /p liExperience selling bPostgres, operational databases, OLTP workloads, or transactional cloud database services /b, ideally within large or strategic accounts. /li liFamiliarity with bdata platforms, lakehouse architectures, and cloud ecosystems /b (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies. /li liUnderstanding of breverse ETL, real-time decisioning, and operational analytics /b use cases, and how they drive value for customer-facing and internal applications. /li liExposure to bAI-native and agent-driven applications /b that depend on low-latency, highly scalable operational data services. /li liPrior experience in a bhigh-growth, category-creating environment /b, helping shape new plays, messaging, and customer narratives. /li liExperience collaborating with bpartners and ISVs /b to drive joint pipeline and co-sell motions. /li 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.