Full-Time

Rvp – Enterprise

Confirmed live in the last 24 hours

Databricks

Databricks

5,001-10,000 employees

Unified data platform for analytics and AI

Data & Analytics
Enterprise Software
AI & Machine Learning

Senior, Expert

London, UK

Position is based in London, UK.

Category
Field Sales
Strategic Account Management
Sales & Account Management
Required Skills
Data Science

You match the following Databricks's candidate preferences

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

Degree
Experience
Requirements
  • Referenceable high-growth enterprise software sales success with senior level tenure at a reputable software company
  • Ability to elevate engagement with a track record of driving large transactions and high growth customers
  • Lead with ambition to continue strong double digit growth
  • Experience in developing and managing growing sales organizations and building teams of successful and passionate big data, Cloud, or SaaS sales professionals
  • Second line experience, manager of managers with Sales 30+ and virtual team 60+
  • Track record of building strong ecosystems of lucrative customer relationships and cross-functional partnerships (Sales, Engineering, Marketing)
  • Proven leadership ability to influence, develop, and empower large teams to achieve objectives with a team approach
  • Proven track record of transformational success, delivery of customer value
  • Industry Prime experience & Proof of Value (POV)
  • Understanding of how to attain and consistently overachieve quota through accountability and cross leadership partnering
  • Extensive knowledge of sales methodologies ie MEDDICC, CoM, Challenger etc.
Responsibilities
  • Build, own and implement strategic revenue plans to exceed sales targets
  • Hire and manage a growing team of sales executives, coach them via joint selling and raise the bar to best in class
  • Implement and manage cadence and rigour with regular pipeline reviews, producing weekly forecasts based on pipeline trends and deal assessments
  • Create trust-based strategic relationships with customers for sustainable growth
  • Instill best practices and execution ensuring the field consistently run our play and communicate our value proposition
  • Understand category-specific landscapes and trends, reporting on the forces that shift tactical budgets and strategic direction of accounts
  • Develop an environment for winning and success to further nurture a ‘one team’ collaborative culture

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 enhance data management and analytics for its users, making it easier to derive valuable insights from their data.

Company Stage

Debt Financing

Total Funding

$13.6B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

0%

1 year growth

1%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Databricks raised $15 billion in Series J funding, boosting AI product development.
  • The company plans global expansion, supported by strategic investors like Meta.
  • Increased demand for real-time analytics aligns with Databricks' platform capabilities.

What critics are saying

  • Increased competition from Snowflake may impact Databricks' market share.
  • Rapid AI advancements could outpace Databricks' feature integration.
  • Potential overvaluation concerns with a $62 billion valuation may attract scrutiny.

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 at scale.
  • 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