Head of AI/ML
Senior Manager, Data Science (Infrastructure)
Databricks · Data & AI Platform / Cloud Software · 7000+ employees · 📍 Mountain View, California
Databricks needs a data science leader to build and run a team that turns infrastructure telemetry into actionable insights — driving capacity planning, reliability, and cost efficiency at hyperscale.
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 analytics
- Drive capacity planning, performance optimization, and reliability engineering through data-driven models
- Influence infrastructure strategy by translating data science insights into engineering decisions
- Develop frameworks to improve resource utilization efficiency and reduce infrastructure costs
- Build data solutions that empower support teams to reduce troubleshooting response times
- Predict and mitigate infrastructure risks and failures to improve system reliability and uptime
Requirements
- Proven experience managing and growing data science teams
- Deep expertise in infrastructure data science — capacity planning, performance modeling, or reliability engineering
- Ability to partner with and influence senior engineering leaders
- Strong applied data science skills (ML, statistical modeling, anomaly detection)
Signals
- ⚠ No salary range disclosed — unusual for a senior role in a CA-based company subject to pay transparency norms
- ⚠ Job description is partially truncated — responsibilities section ends mid-sentence
- ⚠ Role title is 'Senior Manager' rather than Director or VP, which may signal scope limitations despite strategic framing
- ✓ Databricks is one of the most credible AI infrastructure companies globally — strong brand and mission clarity
- ✓ Role has clear mandate: solve real infrastructure challenges at scale with measurable impact
- ✓ Direct partnership with engineering leaders signals organizational influence and access
- ✓ Company at 7000+ employees with rapid growth — data science for infrastructure is genuinely mission-critical here