Full-Time

Named Enterprise Account Executive

South Africa

Confirmed live in the last 24 hours

Databricks

Databricks

5,001-10,000 employees

Unified data platform for analytics and AI

Data & Analytics
AI & Machine Learning

Senior

London, UK

Fly-in/fly-out model indicates travel to South Africa.

Category
Field Sales
Sales & Account Management
Required Skills
Microsoft Azure
AWS
Databricks
Google Cloud Platform
Requirements
  • Experience in a technical or software direct sales role, or Databricks knowledge
  • General understanding of data platform, open source and cloud ecosystems
  • Experience at high growth and successful companies/organisations
  • 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 in building effective champions, collaborative teams, and partnerships to support the execution of your territory plan
  • 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
  • English is required
Responsibilities
  • Assess your territory, develop account strategies and implement them!
  • Identify new business opportunities, win new clients and increase usage of the Data Intelligence platform by aligning its benefits to the strategic objectives of your clients
  • Orchestrate and utilise our field engineering teams to ensure valuable outcomes for clients
  • Build and demonstrate value with all engagements to guide successful negotiations to close point

Databricks provides a platform that combines data lakes and data warehouses into a single architecture known as lakehouse. This platform allows organizations to efficiently manage, analyze, and gain insights from their data. It caters to a variety of users, including data engineers, data scientists, and business analysts, across industries like finance, healthcare, and technology. The platform features automated ETL processes, secure data sharing, and high-performance analytics, and it also supports machine learning and AI workloads for building and deploying models. Databricks operates on a subscription-based model, generating revenue through client subscriptions and professional services. The company's goal is to streamline data management and analytics, making it easier for organizations to leverage their data effectively.

Company Stage

Growth Equity (Venture Capital)

Total Funding

$3.9B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

8%

1 year growth

26%

2 year growth

78%
Simplify Jobs

Simplify's Take

What believers are saying

  • The $1 billion acquisition of Tabular is likely to enhance Databricks' data management capabilities and market reach.
  • The development and launch of the DBRX generative AI model, with a $10 million investment, underscores Databricks' dedication to leading in AI technology.
  • High-profile investments from figures like Nancy Pelosi indicate strong confidence in Databricks' growth potential.

What critics are saying

  • The integration of Tabular's team and technology could face challenges, potentially disrupting operations.
  • The competitive landscape in AI and data analytics is intense, with major players like Google and Microsoft posing significant threats.

What makes Databricks unique

  • Databricks' acquisition of Tabular, founded by the creators of Apache Iceberg, strengthens its position in the open lakehouse market.
  • The launch of DBRX, an open-source LLM that outperforms GPT-3.5 and Llama 2, showcases Databricks' commitment to cutting-edge AI innovation.
  • Strategic partnerships, such as with AVEVA for industrial AI, highlight Databricks' ability to integrate and enhance diverse technological ecosystems.

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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