Technical Program Manager, Model Deployment & Capacity
Leads cross-functional programs for Chat capacity planning and model deployment, connecting demand forecasting, serving capacity, launch readiness, rollout coordination, and post-deployment learning. Requires technical program leadership in infrastructure, distributed systems, model serving, or large-scale deployment environments.
About the job
Responsibilities
- Own cross-functional programs for Chat capacity forecasting, allocation, headroom planning, and constrained-capacity operations.
- Build intake, prioritization, and decision mechanisms connecting product demand and model requirements to serving capacity.
- Partner with product, research, inference, fleet, and capacity teams to develop scenarios, surface tradeoffs, and drive allocation decisions.
- Lead model deployment readiness and rollout planning, including capacity allocation, launch sequencing, validation, and operational handoffs.
- Establish readiness gates, risk reviews, rollback criteria, and escalation paths for model deployments.
- Coordinate launches through deployment and post-launch learning, converting recurring gaps and manual work into scalable tooling and operating practices.
- Define and operationalize metrics for forecast accuracy, capacity utilization and headroom, deployment velocity, reliability, latency, quality, and user impact.
- Create concise communications that clarify dependencies, risks, capacity constraints, and launch decisions for technical and product leaders.
Requirements
- Experience leading complex technical programs in infrastructure, distributed systems, capacity planning, model serving, or large-scale deployment environments.
- Ability to reason about demand, supply, headroom, reliability, latency, and quality tradeoffs and translate them into executable plans.
- Experience building operating mechanisms or tooling that replace fragmented manual workflows with scalable systems and clear ownership.
- Ability to operate effectively in ambiguous, capacity-constrained environments and make explicit tradeoffs.
- Ability to align research, engineering, product, finance or capacity planning, and operations teams without direct authority.
- Experience using metrics to guide decisions, identify bottlenecks, and demonstrate improvements in throughput, predictability, or reliability.
- Precise communication skills across technical, operational, and executive audiences.
Compensation
- Annual salary range: $257,000–$445,000.
Skills
Capacity Planning, Model Deployment, Distributed Systems, Infrastructure, Model Serving, Demand Forecasting, Rollout Planning, Risk Management, Metrics, Reliability, Latency, Operational Tooling
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