
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.
🔥 45 minutes ago
Where this job comes from
Posted on Databricks's careers page, not through a job board
First seen by Remote Rocketship 45 minutes ago

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.
• Drive new Lakebase revenue by identifying, qualifying, and driving activations and consumption within a defined territory • Partner with regional Account Executives and account teams to drive Lakebase adoption • Articulate Lakebase 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 through negotiation and close • Orchestrate proof-of-value initiatives and POCs for OLTP workloads, reverse ETL, and AI/ML applications • Compete against legacy and cloud-native operational databases using competitive assets, benchmarks, and customer references • Align opportunities to 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 • Enable sales teams with Lakebase best practices, success stories, and sales motions • Establish strategic focus accounts and drive intelligent-application opportunities • Drive Postgres standardization and migration in strategic accounts • Track revenue, pipeline, and business observations • Engage priority accounts across the global DB700 • Contribute to internal forums, AMAs, and industry events as a market voice and thought leader
• 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 • 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
• Comprehensive benefits and perks tailored to employees' needs, with region-specific details provided by Databricks
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