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Technical Program Manager, Inference

Listing for: Sponsor Finder
Full Time position Listed on 2026-11-10
Job specializations:
  • IT/Tech
    AI Business & Operations, IT Project Manager
Salary/Wage Range or Industry Benchmark: 177000 - 237000 USD Yearly USD 177000.00 237000.00 YEAR

Job Description & How to Apply Below

Position: Staff Technical Program Manager, Inference
About the team

The AI/ML TPM team owns delivery and execution across Core Weave’s AI/ML Platform Services organization. The team partners closely with Product, Engineering, Research, Infrastructure, and Go-to-Market teams to deliver scalable, reliable, and high-performance platforms that support the full AI lifecycle. AI/ML TPMs drive alignment and execution across highly technical, cross-functional teams to ensure the successful delivery of customer-facing infrastructure and platform capabilities used by researchers, engineers, and enterprise customers.

About the role

Core Weave’s AI/ML Platform Services organization builds the distributed systems that power large-scale inference workloads across our GPU-accelerated cloud. As a Technical Program Manager focused on inference, you will lead complex, cross-functional programs spanning inference platform delivery, customer onboarding, launch readiness, and runtime optimization.

The Inference team is responsible for building and operating highly scalable, reliable production inference services for both serverless and dedicated inference use cases. The work spans platform reliability, operational excellence, customer onboarding, release validation, runtime performance, and the launch of new inference capabilities that help customers run models at scale with strong price-performance and low operational friction.

In this role, you will partner with engineering, product, infrastructure, and go-to-market teams to drive programs that improve how inference services are launched, onboarded, operated, and optimized. This includes managing the execution of customer-facing onboarding programs, launch readiness for dedicated inference capabilities, and the platform improvements needed to support scale, reliability, and predictable delivery.

This role is ideal for someone who thrives in complex, cross-functional environments, has deep technical fluency in distributed systems, inference infrastructure, and AI platform operations, and excels at creating structure, visibility, and execution rhythm across multiple teams.

What You’ll Do:
  • Drive end-to-end program management for inference platform initiatives spanning reliability, customer onboarding, launch readiness, and runtime optimization.
  • Lead cross-functional programs for customer onboarding across dedicated and serverless inference offerings, ensuring clear ownership, launch criteria, and readiness for strategic customer use cases.
  • Drive launch readiness for new inference capabilities by aligning teams around real customer outcomes, supportability, and end-to-end validation.
  • Partner with engineering and product to define and deliver roadmap outcomes for latency, throughput, uptime, operational quality, and price-performance.
  • Coordinate multi-team execution across platform, infrastructure, and customer-facing teams to deliver reliable and scalable inference services.
  • Build and operationalize success metrics, dashboards, launch gates, and review cadences to measure service reliability, onboarding readiness, efficiency, and quality across the inference stack.
  • Establish repeatable processes for release validation, performance regression tracking, launch management, and postmortem follow-through.
  • Help unify operational processes, support mechanisms, and execution visibility across inference deployment models and customer onboarding paths.
  • Create strong communication channels between Engineering, Product, Infrastructure, and Go-to-Market teams to align priorities and deliver predictable, high-impact outcomes.
Who You Are:
  • Bachelor’s degree in a technical field or equivalent practical experience.
  • 8+ years of technical program management experience in distributed systems, cloud infrastructure, or AI/ML platform…
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