
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.
🔥 57 minutes ago
🏄 California – Remote
💵 $292.5k - $402.1k / year
⏰ Full Time
🟠 Senior
🔴 Lead
🤑 Sales
🦅 H1B Visa Sponsor
👻 Ghost score 1%
Where this job comes from
Posted on Databricks's careers page, not through a job board
First seen by Remote Rocketship 57 minutes ago
Still open on Databricks's site. Checked 7 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 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
• 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
• Eligibility for annual performance bonus • Equity • Comprehensive benefits and perks, with region-specific details provided by Databricks • Equal employment opportunity and inclusive hiring practices
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