AI maturity
advanced
Head of AI/ML
Senior Manager, Infrastructure Data Science
Databricks · Data & AI Platform / Enterprise SaaS · 📍 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.
Reports to
CTO
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