Engineering Manager
AI Developer Platform
Updated on 11/30/2023
Unified, open platform for enterprise data
Company Overview
Databricks is on a mission to simplify and democratize data and AI, helping data teams solve the world’s toughest problems. As the world’s first and only lakehouse platform in the cloud, Databricks combines the best of data warehouses and data lakes to offer an open and unified platform for data and AI.
Data & Analytics
Company Stage
Series I
Total Funding
$4.7B
Founded
2013
Headquarters
San Francisco, California
Growth & Insights
Headcount
6 month growth
↑ 15%1 year growth
↑ 39%2 year growth
↑ 108%Locations
Mountain View, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
CategoriesNew
AI & Machine Learning
Requirements
- 5+ years experience working in cloud infrastructure and platform services
- Experience building, growing, and managing high-performance teams
- Effective in working cross-functionality with product management and directly with customers; ability to deeply understand customer needs
- Experience defining and meeting SLOs for highly available systems
- Ability to attract and hire engineers who meet the Databricks hiring standards
- Experience building AI/ML infrastructure (highly preferred)
- BS in Computer Science or related field (Masters or PhD Preferred)
Responsibilities
- Leading a talented engineering team to build products and services to support AI development workflows
- Drive strategic vision for the team and product, simplify the product experience for developing AI models, and drive adoption of key ML capabilities
- Develop engineering leaders and support engineers in their career development
- Grow the team by hiring strong engineering talent
- Implement robust processes to efficiently execute product vision, strategy, and roadmap in alignment with organizational goals and priorities