D

Databricks

Builds cloud software for data analysis and AI

Lakebase Associate Director Specialist

Account ExecutiveConfirmed live in the last 24 hours
Full-timeUnited StatesNo salary listedIn-person

About the Job

Requirements

  • At least 7 years of enterprise software-as-a-service sales experience, consistently exceeding quota in complex, multi-stakeholder deals.
  • Proven success selling data platforms, operational databases such as PostgreSQL, MySQL, or 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 how operational data supports artificial intelligence and analytics strategies.
  • Ability to sell to technical stakeholders, including developers, architects, and data engineers, and business stakeholders, including product leaders, operations, and line-of-business owners.
  • Demonstrated experience leading specialist or overlay sales motions and working jointly 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 clear, quantified outcomes.
  • Bachelor’s degree or equivalent practical experience.

Responsibilities

  • Drive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team.
  • Communicate outcomes for key Lakebase personas, including platform teams and developers, data teams, and central IT, explaining how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.
  • Sell the value of fully managed PostgreSQL for intelligent applications, positioning Lakebase for operational workloads that power real-time, artificial intelligence-driven experiences.
  • Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.
  • Orchestrate proofs of value and proofs of concept that validate Lakebase’s benefits for online transaction processing-style workloads, reverse extract-transform-load, and artificial intelligence/machine-learning-driven applications, in partnership with solution architects and specialists.
  • Compete against legacy and cloud-native operational databases using competitive materials, benchmarks, and customer references.
  • Align sales efforts to measurable business outcomes, including performance, developer productivity, time to market for new features, cost reduction, and simplification of the operational data landscape.
  • Partner with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key independent software vendors and global systems integrators.
  • Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams to scale Lakebase proficiency across the organization.
  • Establish top strategic focus accounts by engaging application development teams to create new intelligent applications leveraging Lakebase.
  • Drive longer-term PostgreSQL standardization and migration within Databricks’ most strategic accounts.
  • Track revenue, pipeline, and key business observations at a business-unit level, and identify areas needing 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.
  • Align customers and the field on Lakebase’s value by equipping Account Executives and solution architects with messaging and execution motions to confidently own accounts without specialist intervention.
  • Contribute to global ask-me-anything sessions and internal forums, and represent Databricks at key first- and third-party events.

Desired Qualifications

  • Experience selling PostgreSQL, 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 how operational databases fit within broader data and artificial intelligence strategies.
  • Understanding of reverse extract-transform-load, real-time decisioning, and operational analytics use cases, and how they create 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 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, with comfort presenting to both 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

Recently Posted Jobs

Explore more opportunities at Databricks

See more jobs