Databricks is seeking a Lakebase Sales Specialist to help customers
modernise their operational data foundation with Databricks Lakebase, our fully-managed Postgres
offering for intelligent applications. 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.
Lakebase gives customers a unified, governed foundation for operational workloads and AI-native
applications, 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.
identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional
Account Executives and the broader account team
platform teams and developers, data teams, and central IT, articulating how
Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency
choice for operational workloads that power real-time, AI-driven experiences
from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and
line-of-business stakeholders
OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists
benchmarks, and customer references
productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape
territory plans, launch plays, and co-selling motions with key ISVs and GSIs
Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across
the organisation
This role requires the ability to
accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase
business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or
support.
strategic opportunities from initial engagement through successful outcomes.
enablement: 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.
leadership: Develop an internal and external presence, and by representing Databricks at key first- and third-party
events.
The interview process is designed to evaluate candidates across all four of these dimensions.
enterprise sales experience, consistently exceeding quota in complex, multi-stakeholder deals
selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI
infrastructure to technical buyers and business leaders
application architectures, including cloud-native services, microservices, event-driven systems, and how operational data
underpins AI and analytics strategies
architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners)
to create and progress opportunities
lead C-level conversations, and build trust with senior decision makers
adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes
small audiences
Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large
or strategic accounts
(AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies
reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for
customer-facing and internal applications
depend on low-latency, highly scalable operational data services
category-creating environment, helping shape new plays, messaging, and customer narratives
collaborating with partners and ISVs to drive joint pipeline and co-sell motions
This
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.
Databricks is the Data and AI company. More than 20,000 organizations worldwide —
including adidas, AT&T, 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.
To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At 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.
At 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.
If 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.
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