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Technical Program Manager, Inference

Anthropic·San Francisco, CA | New York City, NYsenior

In short

  • →Gestionar programas técnicos para escalar el servicio de Claude en múltiples plataformas de aceleradores y nubes.
  • →Trabajar cruzadamente con ingeniería, seguridad, infraestructura y partners para entregar capacidad y eficiencia sin interrupciones.
  • →Destacar por usar AI (Claude) como colaborador directo en gestión de programas y operaciones de flotas.

Fluent English required

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The questions they'll ask you

1. ¿Cómo diseñarías un sistema de visibility que muestre capacidad, demanda y utilización en tiempo real para toma de decisiones?

2. ¿Qué métricas usarías para evaluar la productividad de un equipo de ingenieros de inferencia y cómo mejorarías el ciclo de desarrollo?

3. ¿Cómo gestionarías una migración de carga de trabajo de TPUs a Trainium sin afectar la fiabilidad de producción?

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💵 USD · Remote · No visa

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What they ask for

  • ✓Experiencia previa gestionando programas técnicos en entornos de infraestructura o AI a gran escala.
  • ✓Capacidad para liderar proyectos sin dependencia de procesos formales, creando y eliminando estructuras según sea necesario.
  • ✓Conocimiento profundo de CI/CD, autoscaling, capacidad de servidores y arquitecturas distribuidas.
  • ✓Habilidades de comunicación y colaboración multi-equipo, especialmente en contextos complejos y con alta dependencia.
  • ✓Enfoque orientado a resultados, con foco en rendimiento, costo, latencia y fiabilidad.
  • ✓Capacidad de medir impacto real de proyectos en producción, con métricas claras.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

Accelerator kernelsInference engineDistributed routingAutoscalingCapacity managementCI/CDGPUTPUTrainiumCloud platforms

Who should you write to at Anthropic?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s Inference organization serves Claude to millions of users and enterprise customers, across our own products and the world’s largest cloud platforms, with the speed, reliability, and efficiency that frontier AI demands. The stack that makes this possible is deep and tightly coupled: accelerator kernels, an in-house inference engine that manages the entire token path for both production and research workloads, distributed routing, autoscaling, and capacity management. Every layer affects the others, often in ways that are hard to see in isolation. We build across GPUs, TPUs, and Trainium, and the complexity of building, testing, and shipping inference software grows with every platform we add. We're looking for a Technical Program Manager to drive the programs that scale it. The work spans four closely coupled areas: • Scaling and infrastructure. Routing, autoscaling, and capacity management for the serving fleet, and bringing new capacity online. • Velocity. The toolchains, development environments, and CI/CD that let inference engineers build, test, and ship across every accelerator platform. • Inference engine. The software between the accelerator kernels and the routing layer that serves every request. • Performance. Improving throughput, latency, cost, and reliability across the stack, with correctness treated as part of performance. This is not a status-tracking role. You'll own outcomes end to end, often where no single team is accountable for the whole picture. Much of your value comes from crossing boundaries into Research, Safeguards, Security, Compute, Infrastructure, API, and our cloud and silicon partners, and bringing back the requirements and dependencies that no team sees from inside its own space. There is little process to inherit, and we want to keep it that way: you'll build the minimum machinery the work needs and remove it when it stops helping. And because this is Anthropic, you'll have Claude as a collaborator. We expect TPMs on this team to push hard on what AI-assisted program management and fleet operations can look like. Key responsibilities • Own the programs that scale Claude’s serving fleet across accelerator and cloud platforms, from early direction through delivery. • Drive new capacity online end to end, working across compute, infrastructure, security, networking, and inference teams so one person is accountable for the whole path. • Build visibility into supply, demand, and utilization with capacity and finance partners, and drive trade-offs among utilization, cost, latency, and reliability to a clear decision. • Lead reliability programs and large migrations without disrupting production traffic or research, and make sure incident follow-ups land in team roadmaps. • Drive the programs that make inference engineers faster: define the productivity metrics that matter, find the bottlenecks, and improve how software is built, tested, and released across platforms, in step with Anthropic’s central Infrastructure org. • Coordinate roadmaps and priorities across the production, research, and safeguards needs that depend on the same teams. • Track performance and efficiency work from opportunity to measured impact in production, with correctness held as a releas

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