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

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ppSLSQ327R344 /p pDatabricks is seeking abLakebase Sales Specialist /bto help customers modernize their operational data foundation withbDatabricks Lakebase /b, ourbfully-managed Postgres /boffering forbintelligent 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 forboperational workloads /bandbAI-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 h3bThe impact you will have /b /h3 ul libDrive new Lakebase revenue /bby 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 /bfor key Lakebase personas — includingbplatform teams and developers /b,bdata teams /b, andbcentral 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 /bfrom discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders. /li libOrchestrate proof-of-value and POCs /bthat 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 /bagainst legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references. /li libAlign to measurable business outcomes /bsuch as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape. /li libPartner cross-functionally /bwith 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 /bby sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization. /li /ul h3bWhat success looks like in this role /b /h3 pThis role requires the ability to operate acrossbtwo key motions /bsimultaneously: /p ul libEstablish top strategic focus accounts /bby engaging application development teams to create net-new intelligent applications leveraging Lakebase. /li libDrive longer-term Postgres standardization and migration /bwithin Databricks' most strategic accounts. /li /ul pCandidates should demonstrate how they canbact as a force multiplier /bacross multiple dimensions of the business. /p pSuccess in this role requires strength in four areas: /p ol 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 /ol pThe interview process is designed to evaluate candidates across all four of these dimensions. /p h3bWhat we look for /b /h3 ul lib7+ years of enterprise SaaS sales experience /b, consistently exceeding quota in complex, multi-stakeholder deals. /li liProven success sellingbdata platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure /bto technical buyers and business leaders. /li liStrong understanding ofbmodern 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 bothbtechnical stakeholders /b(developers, architects, data engineers) andbbusiness stakeholders /b(product leaders, operations, line-of-business owners). /li liDemonstrated experience leadingbspecialist or overlay motions /b, working jointly with core Account Executives to create and progress opportunities. /li liExecutive presence with the ability tobwhiteboard architectures /b, lead C-level conversations, and build trust with senior decision makers. /li liStrongbvalue selling /bskills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes. /li liExcellentbcommunication, storytelling, and negotiation /bskills, with comfort presenting to both large and small audiences. /li liBachelor’s degree or equivalent practical experience. /li /ul h3bPreferred qualifications /b /h3 ul liExperience sellingbPostgres, operational databases, OLTP workloads, or transactional cloud database services /b, ideally within large or strategic accounts. /li liFamiliarity withbdata platforms, lakehouse architectures, and cloud ecosystems /b(AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies. /li liUnderstanding ofbreverse ETL, real-time decisioning, and operational analytics /buse cases, and how they drive value for customer-facing and internal applications. /li liExposure tobAI-native and agent-driven applications /bthat depend on low-latency, highly scalable operational data services. /li liPrior experience in abhigh-growth, category-creating environment /b, helping shape new plays, messaging, and customer narratives. /li liExperience collaborating withbpartners and ISVs /bto drive joint pipeline and co-sell motions. /li /ul pbAbout Databricks /b /p pDatabricks is the Data and AI company.

To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.br/bBenefitsbr/ /bAt 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 click here.br/ /p pbOur Commitment to Diversity and Inclusion /b /p pAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.

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.

More than 20,000 organizations worldwide — including adidas, ATT, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents.

Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.

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 pbCompliance /b /p pIf 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. /p /p