Full-Time
Named Core Account Executive
Manufacturing & High-Tech
Posted on 2/22/2025
Databricks
10,001+ employees
Unified data platform for analytics and AI
Compensation Overview
$245.3k - $376.2kAnnually
Senior, Expert
Remote in USA
Candidates must be based in Massachusetts.
You match the following Databricks's candidate preferences
Employers are more likely to interview you if you match these preferences:
- Field sales experience within big data, Cloud, and SaaS sales
- Prior customer relationships with CIOs, program managers, and essential decision makers
- Simply articulate intricate cloud technologies
- 7+ years of Enterprise Sales experience exceeding quotas, covering relevant accounts and industries
- Success closing new accounts while working existing accounts
- Understanding of Spark and big data preferable
- Bachelor's Degree
- Present a territory plan within first 90 days
- Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners
- Close both new accounts and existing accounts
- Identify and close quick, small wins while managing longer, complex sales cycles
- Exceed activity, pipeline, and revenue targets
- Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
- Use a solution-based approach to selling and creating value for customers
- Promote Databricks' enterprise cloud data platform powered by Apache Spark
- Ensure 100% satisfaction among all customers
- Prioritize opportunities and applying appropriate resources
- Build a plan for success internally at Databricks and externally with your accounts.
- Understanding of Spark and big data preferable
Databricks provides a unified platform that combines data lakes and data warehouses, known as lakehouse architecture, allowing organizations to manage, analyze, and gain insights from their data effectively. The platform is designed for a variety of users, including data engineers, data scientists, and business analysts, and is applicable across multiple industries such as finance, healthcare, and technology. Databricks streamlines data ingestion, management, and analysis through features like automated ETL processes, secure data sharing, and high-performance analytics. It also supports machine learning and AI workloads, enabling users to build and deploy models at scale. Unlike many competitors, Databricks operates on a subscription-based model, generating revenue through platform access and professional services. The company's goal is to empower organizations to leverage their data for better decision-making and insights.
Company Size
10,001+
Company Stage
Debt Financing
Total Funding
$13.6B
Headquarters
San Francisco, California
Founded
2013
Simplify's Take
What believers are saying
- Databricks raised $15 billion for AI product development and global expansion.
- The acquisition of BladeBridge enhances Databricks' capabilities in automated data migration.
- Increased demand for real-time analytics boosts adoption of Databricks' platform.
What critics are saying
- Increased competition from Snowflake challenges Databricks' lakehouse architecture.
- Integration challenges from BladeBridge acquisition may disrupt workflows and delay rollouts.
- Reliance on large-scale debt financing poses financial risks if market conditions change.
What makes Databricks unique
- Databricks' lakehouse architecture combines data lakes and warehouses for efficient data management.
- The platform supports collaborative data science and machine learning workflows, enhancing team productivity.
- Databricks integrates seamlessly with various cloud services, supporting multi-cloud strategies.
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Benefits
Extended health care including dental and vision
Life/AD&D and disability coverage
Equity awards
Flexible Vacation
Gym reimbursement
Annual personal development fund
Work headphones reimbursement
Employee Assistance Program (EAP)
Business travel accident insurance
Paid Parental Leave
Growth & Insights and Company News
6 month growth
↓ -1%1 year growth
↑ 0%2 year growth
↓ -1%Databricks announced the completion of a $10 billion Series J funding round and a $5.25 billion debt financing, valuing the company at $62 billion. Key investors include QIA, Temasek, and Meta. The funds will be used for AI product development, acquisitions, and global expansion. The credit facility, led by JPMorgan Chase, includes a $2.5 billion revolver and a $2.75 billion term loan. CEO Ali Ghodsi highlighted the importance of data intelligence in leveraging generative AI.
/PRNewswire/ -- Databricks, the Data and AI company, today announced that it has welcomed the team behind BladeBridge, a leading provider of AI-powered...
Databricks announced the completion of a Series J funding round, raising $15 billion, with participation from existing investor Qatar Investment Authority and new investors Temasek and Macquarie Capital. The company is now valued at $62 billion. Meta joined as a strategic investor. Databricks plans to use the funds for AI product development, M&A, and global expansion. Additionally, they secured a $5.25 billion credit facility led by major financial institutions.
Databricks has secured Meta as a new investor in a $10 billion funding round, one of the largest in venture capital, with contributions from the Qatar Investment Authority. This investment supports Meta's development of Llama, an open-source large language model used in Databricks' AI offerings. Databricks has raised a total of $14 billion in venture funding and is considering an IPO within the next year.
Software maker Databricks Inc. has clinched more than $5 billion of financing from lenders including Blackstone Inc., Apollo Global Management Inc. and Blue Owl Capital Inc. in its largest debt raise to date, according to people with knowledge of the matter.