Databricks
Technology
LakebaseSalesSpecialist(Central)
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Lakebase Sales Specialist (Central) at Databricks. Skills: Lakebase sales, Operational databases, Intelligent applications. Drive new Lakebase revenue. Identify Lakebase opportunities”
What You'll Achieve.
Ship features faster; Simplify operational data architectures; Improve governance; Improve cost efficiency; Improve performance; Improve developer productivity; Reduce time-to-market; Reduce cost; Simplify operational data landscape
Industry & Context.
Discovering pain; Building business case
What They're Looking For.
Must Have
7+ years enterprise SaaS sales, Consistently exceeding quota, Complex, multi-stakeholder deals, Sell data platforms, Sell operational databases, Sell adjacent data/AI infrastructure, Sell to technical buyers, Sell to business leaders, Understand modern data architectures, Understand application architectures, Understand cloud-native services, Understand microservices, Understand event-driven systems, Understand operational data for AI, Understand operational data for analytics, Sell to technical stakeholders, Sell to business stakeholders, Lead specialist motions, Lead overlay motions, Work jointly with Account Executives, Executive presence, Whiteboard architectures, Lead C-level conversations, Build trust with senior decision makers, Discover pain, Build business case, Tie technical capabilities to outcomes, Excellent communication skills, Excellent storytelling skills, Excellent negotiation skills, Present to large audiences, Present to small audiences, Bachelor’s degree or equivalent practical experience
Nice to Have
Selling Postgres experience, Selling operational databases experience, Selling OLTP workloads experience, Selling transactional cloud database services experience, Experience in large accounts, Experience in strategic accounts, Familiarity with data platforms, Familiarity with lakehouse architectures, Familiarity with cloud ecosystems, Understanding of reverse ETL, Understanding of real-time decisioning, Understanding of operational analytics use cases, Exposure to AI-native applications, Exposure to agent-driven applications, Prior experience in high-growth environment, Experience shaping new plays, Experience shaping messaging, Experience shaping customer narratives, Experience collaborating with partners, Experience collaborating with ISVs
What You'll Do.
Drive new Lakebase revenue
Identify Lakebase opportunities
Qualify Lakebase opportunities
Drive Lakebase activations
Drive Lakebase consumption
Articulate Lakebase benefits
Simplify operational data architectures
Improve cost efficiency
Sell value of managed Postgres
Position Lakebase for intelligent applications
Run multi-threaded sales cycles
Navigate executive stakeholders
Navigate technical stakeholders
Navigate line-of-business stakeholders
Orchestrate proof-of-value
Validate Lakebase benefits
Compete against databases
Win against databases
Align to business outcomes
Partner with Product Management
Partner with Marketing
Partner with Customer Success
Partner with Partner teams
Shape territory plans
Shape co-selling motions
Share Lakebase best practices
Share Lakebase success stories
Share Lakebase sales motions
Scale Lakebase proficiency
Establish strategic focus accounts
Engage application development teams
Create intelligent applications
Drive Postgres standardization
Drive Postgres migration
Identify areas needing focus
Identify areas needing support
Engage priority accounts
Drive strategic opportunities
Align customers on value
Equip AEs with messaging
Equip SAs with messaging
Own accounts without intervention
Develop internal presence
Develop external presence
Contribute to global AMAs
Contribute to internal forums
Represent Databricks at events
How You'll Work.
Team & Collaboration
Partner with Account Executives; Partner with account team; Partner with solution architects; Partner with specialists; Partner with Product Management; Partner with Marketing; Partner with Customer Success; Partner with Partner teams; Work with broader account team; Work with core Account Executives; Cross-functional teams
Communication Scope
Executive presence; C-level conversations; Storytelling; Presenting to audiences
Full Job Description
SLSQ327R341 Databricks is seeking multiple Lakebase Sales Specialists (Central) to help customers modernize 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. This role is based in Munich, Germany (flexible within Germany for the right candidate), and will cover customers in the Central region (Germany, Switzerland, Austria, Eastern Europe). 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, multi-threaded 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, rev
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