Lakebase Sales Specialist Milan, Italy

ppSkip to main content Overview Culture Benefits Diversity Engineering Research Students new grads Back to search results /p h3Lakebase Sales Specialist /h3 pMilan, Italy /p pSLSQ327R364 /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. 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 h3bThe impact you will have /b /h3 ul libDrive new Lakebase revenue /bby identifying, qualifying, and driving Lakebase activations and consumption 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, and 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 ul 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, account, customer enablement: /bAlign customers and the field on the value of Lakebase by equipping AEs and SAs with the messaging and execution motions needed to confidently own accounts without specialist intervention. /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 /ul pThe interview process is designed to evaluate candidates across all four of these dimensions. /p h3bWhat we look for /b /h3 ul libProven 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 liFluency in English and in Italian required. /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 /li /ul /p #J-18808-Ljbffr