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Databricks

Builds cloud software for data analysis and AI

Lakebase Sales Specialist - Associate Director

Account ExecutiveConfirmed live in the last 24 hours
Full-timeZürich, SwitzerlandNo salary listed

About the Job

Requirements

  • Strong enterprise software-as-a-service sales experience, with a record of exceeding quota in complex, multi-stakeholder deals.
  • Proven success selling data platforms, operational databases such as Postgres and MySQL, cloud-native database-as-a-service offerings, or adjacent data and artificial intelligence infrastructure to technical buyers and business leaders.
  • Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and the role of operational data in artificial intelligence and analytics strategies.
  • Ability to sell to technical stakeholders, including developers, architects, and data engineers, as well as business stakeholders, including product leaders, operations, and line-of-business owners.
  • Demonstrated experience leading specialist or overlay sales motions in collaboration with core Account Executives to create and progress opportunities.
  • Executive presence, including the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers.
  • Strong value-selling skills, including discovering customer pain, building a business case, and connecting technical capabilities to quantified outcomes.
  • Bachelor’s degree or equivalent practical experience.

Responsibilities

  • Drive new Lakebase revenue by identifying, qualifying, and closing opportunities within a defined territory in partnership with regional Account Executives and the broader account team.
  • Articulate Lakebase outcomes for platform teams, developers, data teams, and central IT, including faster feature delivery, simplified operational data architectures, and improved governance and cost efficiency.
  • Position fully managed Postgres for intelligent applications and operational workloads powering real-time, artificial-intelligence-driven experiences.
  • Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, engaging executive, technical, and line-of-business stakeholders.
  • Orchestrate proof-of-value exercises and proofs of concept validating Lakebase for online transaction processing workloads, reverse extract-transform-load, and artificial-intelligence- and machine-learning-driven applications with solution architects and specialists.
  • Compete against legacy and cloud-native operational databases using competitive materials, benchmarks, and customer references.
  • Align sales activity to business outcomes including performance, developer productivity, time to market for new features, cost reduction, and simplification of operational data environments.
  • Partner with Product Management, Marketing, Customer Success, and Partner teams on territory plans, launch plays, and co-selling motions with key independent software vendors and global systems integrators.
  • Share Lakebase best practices, success stories, and sales motions with broader sales teams to increase Lakebase proficiency.
  • Establish strategic focus accounts by engaging application-development teams to create new intelligent applications leveraging Lakebase.
  • Drive longer-term Postgres standardization and migration within strategic accounts.
  • Track revenue, pipeline, and key business observations, and identify areas requiring additional focus or support.
  • Partner with account teams to engage priority accounts across the global DB700 and drive strategic opportunities from initial engagement through successful outcomes.
  • Build and execute enablement plans that help Account Executives and Solution Architects carry Lakebase conversations when the specialist is not present.
  • Contribute to global ask-me-anything sessions and internal forums, and represent Databricks at key first- and third-party events.

Desired Qualifications

  • Experience selling Postgres, operational databases, online transaction processing workloads, or transactional cloud database services, ideally within large or strategic accounts.
  • Familiarity with data platforms, lakehouse architectures, and cloud ecosystems including Amazon Web Services, Microsoft Azure, and Google Cloud Platform, and with how operational databases fit into broader data and artificial intelligence strategies.
  • Understanding of reverse extract-transform-load, real-time decisioning, and operational analytics use cases and their value for customer-facing and internal applications.
  • Exposure to artificial-intelligence-native and agent-driven applications that depend on low-latency, highly scalable operational data services.
  • Prior experience in a high-growth, category-creating environment, helping shape new sales plays, messaging, and customer narratives.
  • Experience collaborating with partners and independent software vendors to drive joint pipeline and co-selling motions.
  • Excellent communication, storytelling, and negotiation skills, including presenting to large and small audiences.

About the Company

Databricks

Builds cloud software for data analysis and AI

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$32.1B
Headquarters
San Francisco, CA
Founded
2013

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