Senior Technical Program Manager, AI Infrastructure – Capacity Operations

This is a fully remote position, open to applicants in California.

📋 Description

• Take ownership of the intake, triage, routing, and quality standards for accelerator-capacity requests across engineering and research teams.

• Conduct quarterly and annual demand forecasts, manage change control, prepare for reviews, and ensure follow-through.

• Develop capacity-planning and allocation reviews based on demand, supply, commitments, readiness, workload timing, and business priorities.

• Monitor capacity from the point of request and forecast through delivery, readiness, assignment, and effective utilization.

• Coordinate infrastructure dependencies such as access, storage, data movement, networking, readiness checks, migration timing, and provisioning tickets.

• Maintain dashboards and ensure source-data quality, which includes conducting freshness checks, reconciliation, ownership of missing inputs, and retiring repetitive manual reporting.

• Oversee operating cadences, agendas, action logs, tracking dependencies, maintaining decision records, managing risk registers, and resolving blocking issues.

• Prepare succinct leadership reports that cover facts, risks, decisions, options, recommended actions, owners, and due dates.

• Lead initiatives in tooling, automation, and decision-support with human approval gates, audit evidence, and secure operating controls.

• Influence collaboration across research, platform engineering, infrastructure, data, finance, operations, and leadership teams.

⛳️ Requirements

• Bachelor’s, Master’s, or PhD in Electrical Engineering, Computer Science, Computer Engineering, or a related field, or equivalent experience.

• Over 7 years of technical program management or closely related experience in AI/ML platforms, distributed systems, cloud infrastructure, compute capacity, or demanding engineering environments.

• Proven experience managing recurring operational programs that involve scarce-resource trade-offs, multiple cadences, and executive clarity during overlapping peak periods.

• Strong command of program mechanics including intake, forecasting, review preparation, dependency management, documentation, risk records, action closure, and status communication.

• Sufficient technical proficiency to comprehend infrastructure constraints, review requirements and metrics, and collaborate effectively with engineers and researchers.

• Data proficiency to assess source quality, interpret dashboards, reconcile differing views, define operational measures, and pinpoint missing ownership.

• A history of transforming ambiguous cross-functional efforts into robust operating systems with defined owners, decisions, and critical issue pathways.

• Exceptional written and verbal communication skills.

• Capability to influence without authority among collaborators in research, platform engineering, infrastructure, data, finance, operations, and leadership.

• Experience in GPU or accelerator-capacity planning, utilization programs, cluster operations, workload bring-up, or large-scale AI training and inference environments.

• Familiarity with demand and supply roadmaps, normalization across various accelerator types, allocation reviews, quota or priority management, and capacity migrations.

• Understanding of batch scheduling, cluster management, and environments related to cloud or data centers.

• Experience with observability or dashboard platforms, data-quality controls, and automated infrastructure or service-operations reporting.

• Proven experience in driving API-enabled workflow automation or decision-support tools with human approval gates, audit evidence, and secure operating controls.

🏝️ Benefits

• Equity

• Benefits