Full-Time

Named Enterprise Account Executive

Confirmed live in the last 24 hours

Databricks

Databricks

10,001+ employees

Unified data platform for analytics and AI

Data & Analytics
Enterprise Software
AI & Machine Learning

Senior, Expert

London, UK

Category
Strategic Account Management
Sales & Account Management
Required Skills
Microsoft Azure
Data Science
AWS
Databricks
Google Cloud Platform

You match the following Databricks's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Experience in direct sales of enterprise software platforms to large enterprises
  • Knowledge of the Data & AI space with technology sales experience
  • Longevity with previous employers
  • Quota over-achievement when selling complex software and services to Enterprise accounts
  • Experience driving successful adoption of usage-based subscription services (SaaS) and co-selling with AWS, Azure and Google Cloud teams
  • Methods for co-developing business cases and gaining support from C-level Executives
  • Familiarity with sales methodologies and process (e.g Territory and Account planning, MEDDPICC, Challenger Sales and Command of the Message)
  • Experience developing partnerships with "champions" and client teams to support execution of your territory plan
  • Experience developing a clear partner strategy and implement it to achieve success
  • Understanding of consumption-based, land and expand sales models advantageous
  • Understanding of how to identify important uses cases and buying centres to increase the impact of Databricks for clients
Responsibilities
  • Provide the industry insight and business creativity required to design and develop unique use cases and solutions that differentiate Databricks within the CME segment
  • Co-develop a business plan, with your team and ecosystem partners, that accelerates existing customer success, identifies and acquires new customers and enables you to exceed quarterly/annual usage and booking goals
  • Motivate a diverse team of big data and AI professionals to implement your business plan
  • Lead your team, customers, and partners to identify impactful big data and AI use cases whilst proving their value on the Databricks Data Intelligence Platform
  • Support the broader big data and AI transformation goals of your customers through a combination of strategic partnerships, well-scoped professional services, training, and targeted Executive engagement
  • Build exceptional value with all engagements to guide successful negotiations to close
Desired Qualifications
  • Understanding of consumption-based, land and expand sales models advantageous
  • Understanding of how to identify important uses cases and buying centres to increase the impact of Databricks for clients

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 Jobs

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

Headcount

6 month growth

-1%

1 year growth

0%

2 year growth

-1%
Intelligence360
Feb 10th, 2025
Databricks Secures $15B for AI Expansion

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.

PR Newswire
Feb 4th, 2025
Databricks Acquires BladeBridge Technology and Talent to Accelerate Data Warehouse Migrations

/PRNewswire/ -- Databricks, the Data and AI company, today announced that it has welcomed the team behind BladeBridge, a leading provider of AI-powered...

WowTale
Jan 23rd, 2025
Databricks Secures $15B in Series J Funding

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.

Tech in Asia
Jan 23rd, 2025
Databricks Secures $10B Funding with Meta

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.

LiveMint
Jan 13th, 2025
Databricks Inks $5 Billion Financing From Private Credit, Banks

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.