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Lakebase Sales Specialist

Databricks

Salary undisclosed

Amsterdam, NetherlandsOn-site

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Description

SLSQ327R348

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:

  1. Business ownership: Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.
  2. Strategic account engagement: Partner with account teams to engage priority accounts, driving strategic opportunities from initial engagement through successful outcomes.
  3. 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.
  4. 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 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.

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.

About this role

Databricks is building out its go-to-market motion for Lakebase, a fully-managed Postgres service designed to modernize how organizations handle operational data and power AI-driven applications. This Sales Specialist role sits at the center of that effort, partnering with regional Account Executives to drive adoption across a defined territory. You'll own the full sales cycle—from identifying and qualifying opportunities through proof-of-value orchestration and close—while engaging multiple stakeholder types: platform teams and developers seeking faster feature delivery, data teams looking to simplify fragmented architectures, and central IT focused on governance and cost efficiency.

The role demands someone who can operate at both strategic and tactical levels simultaneously. You'll establish and nurture top-tier accounts while driving longer-term Postgres standardization within Databricks' most important customers. Success requires you to articulate complex technical value in business terms, navigate multi-stakeholder deals involving executives and technical buyers alike, and position Lakebase against entrenched legacy and cloud-native competitors. You'll also shape internal capability by enabling Account Executives and solution architects with messaging, best practices, and sales motions, while developing your own market presence through events and thought leadership.

This hire suits someone with proven enterprise sales success in complex deals, ideally with background selling data platforms, operational databases, or infrastructure to technical buyers. You'll need strong grasp of modern data architectures, cloud services, and how operational databases underpin AI strategies. Experience with Postgres, lakehouse concepts, reverse ETL, or real-time analytics is valuable. The role is based in Amsterdam and requires in-office presence.

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Pay for this role

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