Governance & Operations Lead, Infrastructure & Planning

What you'll do

• Design and operate scalable support and governance systems for compute requests, allocations, and utilization.
• Build dashboards, reports, alerts, and analyses to identify inefficiencies, quantify costs, and inform leadership decisions.
• Partner with ML engineering and analytics teams to support compute across hardware and workloads, including inference and on-device ML.

What they ask for

• BS in Computer Science, Data Science, or Computer Engineering, or equivalent practical experience.
• 5+ years in governance/operations, data engineering, analytics engineering, technical program management, or a large-scale compute or cloud environment.
• Direct experience managing SRE and hierarchical technical support systems; proven experience designing and operating complex systems and processes from the ground up.
• SQL; experience building analytical dashboards or data products and designing data models or telemetry schemas for infrastructure, capacity, or utilization data.

Nice to have

• Python for data analysis or lightweight pipeline development; familiarity with ML training infrastructure concepts.
• Experience in FinOps, capacity planning, cloud cost management, IT governance, analytics systems, or infrastructure alerting/anomaly detection.

Pay

$175,500 and $311,700 USD base salary

Tools

SQL, Tableau, Looker, Grafana, Python, pandas

AI focus

Supports ML compute lifecycle management and analytics for internal development and inference serving, including foundation models, inference workloads, and ML workflows.