Head of AI/ML
Senior Manager, Infrastructure Data Science
Databricks · Data & AI Platform / Enterprise SaaS · 7000+ employees · 📍 San Francisco, California
Databricks needs a data science leader embedded in infrastructure to drive capacity planning, reliability, and cost optimization through applied ML and analytics at massive SaaS scale.
AI Maturity
advanced
Reports To
CTO
Why Role Exists
Expansion
Company Stage
scale-up
Source
greenhouse
Key Responsibilities
- Lead and mentor a team of data scientists focused on infrastructure problems
- Drive capacity planning and scalability forecasting using data science models
- Build predictive solutions for infrastructure risk, failure detection, and reliability improvement
- Identify and eliminate infrastructure inefficiencies to optimize cost and performance
- Establish data frameworks to accelerate support team troubleshooting and improve customer experience
- Influence engineering and support stakeholders with data-driven insights and strategies
Requirements
- Proven experience managing or leading data science teams
- Deep expertise in applied data science — ML, statistical modeling, predictive analytics
- Background working with large-scale infrastructure, cloud, or platform engineering contexts
- Strong stakeholder management and ability to translate data science findings into engineering decisions
Signals
- ⚠ No salary range posted — limits candidate transparency
- ⚠ Job description appears truncated (ends mid-sentence on mentorship point)
- ⚠ Role title is 'Senior Manager' but scope suggests Director-level responsibility — possible title deflation
- ✓ Databricks is one of the fastest-growing enterprise SaaS companies globally — strong growth context
- ✓ Role has clear, high-impact mandate tied to cost, reliability, and customer experience
- ✓ Direct partnership with engineering leadership signals organizational credibility and influence
- ✓ Company at 7000+ employees with thousands of enterprise customers — data science problems are real and complex