Full-Time

Manager – Sales Strategy

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

Chicago, IL, USA

Category
Project Management
Strategy Development
Business & Strategy
Required Skills
SQL
Salesforce
Data Analysis
Requirements
  • 6+ years of experience working in a Cloud-based or hyper-growth technology company.
  • Proficient in Salesforce reporting and business processes.
  • Technical and fluent in data, including analyzing data sets with tools like SQL queries and creating complex models and prototype tools.
  • Experience in an Operational or Strategy role at a top-tier technology company.
  • Ability to build processes at scale and familiarity with automation.
  • Experience in prioritization of deliverables and tasks, with a proven track record of taking ownership, leading data-driven analyses, and influencing results.
Responsibilities
  • Support daily operations for AMER’s Enterprise Business across forecasting, pipeline management, and sales headcount management.
  • Guide and assist Sales Leadership with strategic business planning and fiscal year planning.
  • Consolidate strategies, BAU operations, and cadences across business areas, making adjustments/improvements to drive growth and accountability.
  • Responsible for cross-functional collaboration across the business and supporting these teams.
  • Create weekly, monthly, and quarterly reporting leveraging large datasets to gather insights and guide AMER ENT investment, growth, and strategic direction.
  • Manage Partner and PS (Accelerate) Program funding and recommend funding for impactful projects to maximize ROI.

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