Product Manager
ML Platform, All Levels
Posted on 5/2/2023
INACTIVE
Databricks

5,001-10,000 employees

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

$4.2B

Founded

2013

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

11%

1 year growth

39%

2 year growth

118%
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Requirements
  • 5+ years of Product Management or relevant Engineering Leadership position
  • Educational background in computer science or related engineering practice
  • Experience working with a Data Science/ML stack, including Python, Jupyter, Scikit-Learn, TensorFlow
  • Understanding of Data Platforms, Machine Learning Frameworks, and common ML deployment patterns (e.g. batch scoring, online/real-time serving)
  • Strong track record of delivering products with cross-functional teams common to enterprise software industry (field engineering, sales, marketing, partnerships, etc.)
  • Analytical skills to make data-driven decisions (e.g. analyze product usage)
  • Excellent communication skills to clearly and concisely communicate complex topics to diverse stakeholders (engineers, customers, etc.) in written and verbal form
  • Experience in working closely with enterprise customers and channel partners in the enterprise software industry
Responsibilities
  • Developed a deep understanding of customer needs and use-cases in the Data Science and Machine Learning domain
  • Created and communicated a competitive analysis of Data Science and ML solutions relevant to our customer's needs
  • Defined the end-to-end user experience for customer success beyond the scope of the ML Platform product and features
  • Took a feature from ideation / exploration with customers to full launch and rollout, including marketing plan and field enablement