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Sales Specialist
Databricks. Drive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory .
Posted 11/2/2026full-timeRemote • California • United StatesSeniorLead💰 $292,500 - $402,150 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in enterprise SaaS sales with a focus on data platforms and operational databases, particularly Postgres. Proven ability to engage technical and business stakeholders, articulate value propositions, and drive measurable outcomes in complex sales cycles.
Highest-signal resume keywords
Enterprise SaaS Sales ExperienceData Platform SalesOperational Database ExpertiseValue Selling SkillsExecutive Presence
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PostgresMySQLCloud-Native DBaaSOLTP WorkloadsData ArchitectureMicroservicesEvent-Driven SystemsAI and Analytics StrategiesReverse ETLOperational Analytics
Soft Skills
Excellent CommunicationStorytellingNegotiation SkillsBuilding TrustC-Level Engagement
Tools & Technologies
AWSAzureGCPLakehouse Architectures
Certifications & Qualifications
Bachelor’s Degree or Equivalent Practical Experience
Industry Keywords
LakebaseIntelligent ApplicationsAI-Driven WorkloadsSales CyclesCo-Selling Motions
Tech Stack
Tools & technologiesAWSAzureCloudETLGoogle Cloud PlatformMicroservicesMySQLPostgres
About the role
Key responsibilities & impact- Drive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory
- Partner with regional Account Executives and broader account teams
- Articulate Lakebase value to platform teams, developers, data teams, and central IT
- Sell fully-managed Postgres for intelligent applications and real-time, AI-driven operational workloads
- Run complex, multi-threaded sales cycles from discovery and value hypothesis through negotiation and close
- Navigate executive, technical, and line-of-business stakeholders
- Orchestrate proof-of-value engagements and POCs for OLTP workloads, reverse ETL, and AI/ML-driven applications
- Compete against legacy and cloud-native operational databases using compete assets, benchmarks, and customer references
- Align opportunities to measurable outcomes including performance, developer productivity, time-to-market, cost reduction, and operational data simplification
- Partner with Product Management, Marketing, Customer Success, and Partner teams on territory plans, launch plays, and co-selling motions
- Enable broader sales teams with Lakebase best practices, success stories, and sales motions
- Establish strategic focus accounts by engaging application development teams on new intelligent applications
- Drive Postgres standardization and migration within strategic accounts
- Track revenue, pipeline, and key observations at business-unit level
- Engage priority accounts across the global DB700
- Contribute to global AMAs and internal forums and represent Databricks at first- and third-party events
Requirements
What you’ll need- 7+ years of enterprise SaaS 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 operational data’s role in AI and analytics strategies
- Ability to sell to technical stakeholders and business stakeholders
- Demonstrated experience leading specialist or overlay motions with core Account Executives
- Executive presence; ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers
- Strong value selling skills, including discovering pain, building business cases, and tying technical capabilities to quantified outcomes
- Excellent communication, storytelling, and negotiation skills
- Bachelor’s degree or equivalent practical experience
- Preferred: experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services
- Preferred: familiarity with data platforms, lakehouse architectures, and AWS, Azure, and GCP
- Preferred: understanding of reverse ETL, real-time decisioning, and operational analytics
- Preferred: exposure to AI-native and agent-driven applications
- Preferred: experience in a high-growth, category-creating environment
- Preferred: experience collaborating with partners and ISVs on joint pipeline and co-sell motions
Benefits
Comp & perks- Eligibility for annual performance bonus
- Equity
- Comprehensive benefits and perks, with region-specific details provided by Databricks
- Equal employment opportunity and inclusive hiring practices