Associate Director – Retail

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 StatesSenior💰 $292,500 - $402,150 per yearWebsite

Core Competencies

Role fit

Core 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 SalesPostgres ExpertiseValue-Selling SkillsExecutive Presence

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Operational DatabasesOLTP WorkloadsCloud-Native ServicesMicroservicesEvent-Driven SystemsData ArchitectureAI/ML ApplicationsReverse ETLReal-Time DecisioningOperational Analytics

Soft Skills

Excellent CommunicationStorytellingNegotiation SkillsBuilding TrustLeading C-Level Conversations

Tools & Technologies

AWSAzureGCPLakehouse ArchitecturesData Platforms

Industry Keywords

RetailConsumer GoodsTravel & HospitalityIntelligent ApplicationsHigh-Growth Environment

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle 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 to drive Lakebase adoption in the Retail, Consumer Goods, Travel & Hospitality verticals
Articulate Lakebase’s value to platform teams, developers, data teams, and central IT
Sell fully-managed Postgres for intelligent applications and operational workloads
Run complex, multi-threaded sales cycles from discovery and value hypothesis through negotiation and close
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 competitive assets, benchmarks, and customer references
Align opportunities to measurable outcomes such as 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 net-new intelligent applications
Drive Postgres standardization and migration in strategic accounts
Track revenue, pipeline, and key observations at a business-unit level
Engage priority accounts across the global DB700
Contribute to internal forums and global AMAs and represent Databricks at industry 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, or GCP
Preferred: Understanding of reverse ETL, real-time decisioning, and operational analytics use cases
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

Benefits

Comp & perks

Eligibility for annual performance bonus
Equity
Comprehensive benefits and perks; region-specific details provided by Databricks