Lakebase Sales Specialist

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ppSLSQ327R364 /p pDatabricks 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. 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 h3The impact you will have /h3 ul libDrive new Lakebase revenue /b by 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 /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 /ul h3What success looks like in this role /h3 pThis role requires the ability to operate across btwo key motions /b simultaneously: /p ul 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 /ul 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 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, account, customer enablement /b – Align 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 /ol h3What we look for /h3 ul libProven 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 and 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 /ul h3Preferred qualifications /h3 ul 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 /ul pThis description is intended to outline the core responsibilities and qualifications for the Lakebase Sales Specialist role. Actual responsibilities may evolve as the Lakebase product and go‑to‑market motions continue to grow and mature. /p h3Our Commitment to Diversity and Inclusion /h3 pAt 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 h3Compliance /h3 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 #J-18808-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7aufo8