Full-Time
Enterprise Account Executive
Confirmed live in the last 24 hours
Databricks
10,001+ employees
Unified data platform for analytics and AI
Senior, Expert
London, UK
You match the following Databricks's candidate preferences
Employers are more likely to interview you if you match these preferences:
- Experience developing strong relationships with large Enterprises accounts, managing virtual teams, and leading complex sales campaigns in major retail accounts is essential
- Experience working in Big Data, Cloud, or SaaS industries
- A demonstrable history of exceeding sales quotas in high-growth Enterprise software companies
- Experience driving usage and commit-based engagement models and strategies working with professional services and training teams
- Experience co-selling and scaling your business with Cloud Vendors (AWS, Azure and Google Cloud teams) and Global Solution Integrators (GSI)
- Experience co-developing business cases and gaining support from C-level Executives
- Knowledge of value-based selling and an ability to articulate that in complex environments
- Build strategic partnerships with top retail brands whilst managing complex sales cycles, driving innovation and growth
- Collaborate with cross-functional teams to deliver value to customers
- Co-develop a business plan, with your team and ecosystem partners, that accelerates customer success to exceed quarterly/annual usage and booking goals
- Lead your team, customer and partners to identify impactful big data and AI use cases whilst proving out their value on the Databricks Data Intelligence Platform
- Implement the big data and AI transformation goals of your customer through a combination of strategic partnerships, well-scoped professional services, training and targeted Executive Engagement
- Develop an understanding of technical product details and roadmap to build trust with executives and business and technical champions
Databricks provides a platform that combines the features of data lakes and data warehouses, referred to as lakehouse architecture. This platform allows organizations to efficiently manage, analyze, and gain insights from their data. It caters to a diverse clientele, including data engineers, data scientists, and business analysts in sectors like finance, healthcare, and technology. Databricks streamlines data ingestion, management, and analysis through automated ETL processes, secure data sharing, and high-performance analytics. Additionally, it 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 effectively 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.