Associate Director – Retail

🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $292.5k - $402.1k / year

⏰ Full Time

🟠 Senior

👔 Director

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Databricks

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 $1.6G Series H on 2021-08

Artificial Intelligence • Enterprise • SaaS

Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics. It focuses on optimizing big data processing and helps organizations leverage Apache Spark to deliver deeper insights and powerful data-driven applications. Databricks also offers robust tools and seamless integration for machine learning operations.

📋 Description

• 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

• 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

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

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume