Full-Time

Manager – Mid-Market

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

Compensation Overview

$269.8k - $477.4kAnnually

+ Annual Performance Bonus + Equity

Mid, Senior

New York, NY, USA

Candidates from other locations will also be considered.

Category
Inside Sales
Sales & Account Management
Required Skills
Sales
Data Science
Requirements
  • Experienced (3+ years) high-growth SaaS leader with experience leading an inside sales team to new heights
  • Experience translating a highly technical product to business value for the CSuite. Experience in big data, selling against open source or freemium models is a plus.
  • Track record of success executing against personal and team goals while always striving to uplevel your and your team's skills
  • Proven leadership ability to influence, develop, and empower employees to achieve personal objectives with a team first mindset
  • Ability to coach and develop fundamentals in your Account Executives including and not limited to prospecting, expansion, operational rigor, and personal development.
  • Excellent written and verbal communication skills as well as experience communicating with and presenting to the C Suite
  • Willing to travel as needed (<25%) and work on the deals as needed to hit the goals
  • Bachelors degree required, ideally in Business Management. MBA or advanced degree is a plus but not required.
Responsibilities
  • Drive Revenue Success: Own and exceed your team's monthly, quarterly and annual sales targets.
  • Develop and Implement Strategic Plans: Develop and lead execution of strategic plans for team's development and revenue attainment.
  • Build Trust-Based Relationships: develop long term employee, customer, partner, and cross-functional relationships.
  • Lead with Value: Enable your team to understand the commercial and business goals of your customer and how they relate to our value proposition.
  • Empower and Enable the Front-Line Voice of Databricks: Lead your team to effectively communicate the value proposition throughout the customer journey.
Desired Qualifications
  • Experience in big data, selling against open source or freemium models is a plus.

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

Growth Equity (Venture Capital)

Total Funding

$13.6B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

0%

1 year growth

3%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Databricks raised $10 billion, boosting its valuation to $62 billion in 2023.
  • The company plans to expand globally, including into the Middle East's AI sector.
  • Growing demand for real-time analytics aligns with Databricks' platform capabilities.

What critics are saying

  • Increased competition from Snowflake could impact Databricks' market share.
  • Rapid AI advancements may outpace Databricks' feature integration capabilities.
  • Regulatory scrutiny over data privacy could challenge Databricks' expansion efforts.

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 major 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