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.
  • You love building processes at scale and are familiar with automation. You enjoy designing processes that serve the needs of the organization and its participants.
  • You are technical and fluent in data. Whether it’s analyzing data sets with tools like SQL queries, or creating complex models and prototype tools, data is a core part of your toolkit.
  • You are proficient in Salesforce reporting and business processes.
  • You excel in a collaborative environment. You have deep experience in prioritization of deliverables and tasks and a proven track record of taking ownership, leading data-driven analyses, and influencing results.
  • You have consistent experience in an Operational or Strategy role at a top-tier technology company. You have seen what it takes to support a high-growth top-tier organization.
Responsibilities
  • You’ll support daily operations for AMER’s Enterprise Business across forecasting, pipeline management and sales headcount management.
  • You’ll guide and assist Sales Leadership with strategic business planning and fiscal year planning.
  • You’ll be responsible for consolidating strategies, BAU operations and cadences across each of the business areas, and making adjustments /improvements to drive growth and accountability.
  • You’ll be responsible for cross-functional collaboration (hyperscalers, enablement, programmes, finance etc.) across the business and supporting these teams.
  • You’ll create weekly, monthly, and quarterly reporting leveraging large datasets to gather insights and guide AMER ENT investment, growth and strategic direction.
  • Partner and PS (Accelerate) Program funding management and recommendation to fund the most impactful projects for the business, maximizing 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. Unlike many competitors, Databricks operates on a subscription-based model, generating revenue through platform access and professional services. The company's goal is to empower organizations to leverage their data effectively for better decision-making and insights.

Company Stage

Growth Equity (Venture Capital)

Total Funding

$13.6B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

9%

1 year growth

38%

2 year growth

79%
Simplify Jobs

Simplify's Take

What believers are saying

  • Databricks raised $10 billion for AI product development and global expansion.
  • The company plans to expand into Saudi Arabia, aligning with Vision 2030.
  • Partnerships with cloud providers enhance Databricks' scalability and performance.

What critics are saying

  • Increased competition from Snowflake could impact Databricks' market share.
  • The acquisition of Tabular may pose integration challenges and disrupt operations.
  • Rapid expansion into new markets may expose Databricks to geopolitical 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.
  • Databricks integrates with major cloud services for seamless data management and analysis.

Help us improve and share your feedback! Did you find this helpful?

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