Full-Time

Named Enterprise Account Executive

Manufacturing, Energy and Industrial

Posted on 8/15/2024

Databricks

Databricks

5,001-10,000 employees

Unified data platform for analytics and AI

Data & Analytics
Enterprise Software
AI & Machine Learning

Senior

London, UK

Category
Inside Sales
Sales & Account Management
Required Skills
Microsoft Azure
Sales
Segment
AWS
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
  • You will provide the industry insight and business creativity required to design and develop unique use cases and solutions that differentiate Databricks within the MEI segment.
  • You will 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.
  • You will motivate a diverse team of big data and AI professionals to implement your business plan.
  • You will 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.
  • You will 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.
  • You will build exceptional value with all engagements to guide successful negotiations to close.

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. The company operates on a subscription-based model, generating revenue from platform access and professional services. Databricks aims to simplify data management and analytics for its users, helping them make data-driven decisions.

Company Stage

Growth Equity (Venture Capital)

Total Funding

$13.6B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

8%

1 year growth

25%

2 year growth

72%
Simplify Jobs

Simplify's Take

What believers are saying

  • Databricks raised $10B, boosting its valuation to $62B for global expansion.
  • The company reports a $3B revenue run rate, indicating strong financial performance.
  • Databricks' expansion into Saudi Arabia aligns with Vision 2030, enhancing Middle East presence.

What critics are saying

  • Increased competition from Snowflake could impact Databricks' market share.
  • Integration challenges with acquisitions like Tabular may disrupt operations.
  • Expansion into new markets may expose Databricks to geopolitical and regulatory risks.

What makes Databricks unique

  • Databricks offers a unified platform combining data lakes and warehouses, known as lakehouse.
  • The platform supports collaborative data science and machine learning workflows efficiently.
  • Databricks integrates seamlessly with various cloud services for enhanced data management.

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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

INACTIVE