Lakebase Sales Specialist

SLSQ327R353

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.

The impact you will have:

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

Lead with outcomes

for key Lakebase personas, including

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

• Sell the value of fully-managed Postgres for intelligent applications
• , positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences

Run complex sales cycles

from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders

Orchestrate proof-of-value and POCs

that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists

Compete and win

against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references

Align to measurable business outcomes

such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape

Partner cross-functionally

with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs

Enable the field

by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organisation

What success looks like in this role:

This role requires the ability to operate across

two key motions

simultaneously:

Establish top strategic focus accounts

by engaging application development teams to create net-new intelligent applications leveraging Lakebase

Drive longer-term Postgres standardisation and migration

within Databricks' most strategic accounts

Success in this role requires strength in four areas:

Business ownership

Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.

Strategic account engagement

Partner with account teams to engage priority accounts, driving strategic opportunities from initial engagement through successful outcomes.

Field, account, & customer 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.

Market voice and thought 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.

What we look for:

Relevant enterprise sales experience

, consistently exceeding quota in complex, multi-stakeholder deals

Proven success selling

data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI 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 underpins AI and analytics strategies

Ability to sell to both

technical stakeholders

(developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners)

Demonstrated experience leading

specialist or overlay motions

, working jointly with core Account Executives to create and progress opportunities

Executive presence with the ability to

whiteboard architectures

, lead C-level conversations, and build trust with senior decision makers

Strong

value selling

skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes

Excellent

communication, storytelling, and negotiation

skills, with comfort presenting to both large and small audiences

Bachelor’s degree

Preferred qualifications

Experience selling

• Postgres, operational databases, OLTP workloads, or transactional cloud database services
• , ideally within large or strategic accounts

Familiarity with

data platforms, lakehouse architectures, and cloud ecosystems

(AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies

Understanding of

reverse ETL, real-time decisioning, and operational analytics

use cases, and how they drive value for customer-facing and internal applications

Exposure to

AI-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 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.

About Databricks

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

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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
• .

Our Commitment to Diversity and Inclusion

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.

Compliance

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.