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Technical Program Manager, AI Infrastructure

Key Facts

Full time
Senior (5-10 years)
English

Other Skills

  • Program Management
  • Multitasking
  • Dealing With Ambiguity
  • Progress Reporting

Roles & Responsibilities

  • 5–8 years of experience in program management, technical operations, or product execution in fast-moving, technical environments.
  • Proven ability to lead complex, multi-team initiatives spanning engineering and infrastructure systems.
  • Strong communication skills bridging technical and non-technical stakeholders.
  • Experience with distributed systems, cloud infrastructure, or platform development.

Requirements:

  • Lead planning and execution of major AI infrastructure initiatives spanning training pipelines, data systems, model evaluation, and inference/serving; establish scopes, goals, timelines, risks, and success metrics.
  • Translate model/product needs into infrastructure roadmaps; align engineering, research, and product teams; drive cross-functional accountability and communication.
  • Monitor and report key metrics (reliability, latency, throughput, cost) and identify bottlenecks; improve tooling, automation, and developer velocity.
  • Partner with AI cloud providers and internal teams; guide prioritization, sequencing, and tradeoffs; have technical understanding of GPU clusters, AI accelerators, and cloud infra.

Job description

About the Role
We’re hiring a Program Manager, AI Infrastructure to lead high-impact programs that power Character.AI’s model development and serving systems at scale. In this role, you’ll partner closely with engineering, research, and product teams to shape infrastructure strategy, align roadmaps, and drive end-to-end execution for critical initiatives across training, evaluation, and inference. You’ll help ensure our systems are reliable, efficient, and capable of supporting rapid iteration as we scale AI experiences to millions of users.

This role is a good match for someone who thrives in technically complex environments, enjoys bringing structure to ambiguous problem spaces, and can drive alignment across deeply cross-functional teams. You’ll often operate at the intersection of research and production, helping teams navigate tradeoffs between speed, quality, and reliability. You should be comfortable influencing without authority, anticipating risks early, and keeping large, interdependent efforts moving forward.

What You’ll Do

  • Lead planning and execution of major AI infrastructure initiatives spanning training pipelines, data systems, model evaluation, and inference/serving

  • Build structures that keep teams aligned: scopes, goals, requirements, timelines, risks, and success metrics

  • Partner with engineering, research, and product to translate model and product needs into infrastructure roadmaps and priorities

  • Drive cross-functional accountability and communication across teams working on tightly coupled systems

  • Track key infrastructure metrics (e.g., reliability, latency, throughput, cost efficiency) and define reporting that surfaces progress and risk

  • Identify bottlenecks in infrastructure workflows and lead efforts to improve tooling, automation, and developer velocity

  • Support capacity planning and resource allocation to ensure infrastructure scales with model and product growth

  • Develop repeatable frameworks and operational patterns that improve execution quality across infrastructure programs

  • Serve as a strategic partner to leaders on prioritization, sequencing, and tradeoffs across infrastructure investments.

  • Work closely with AI cloud providers and serve as the primary bridge between internal engineering teams and external partnership efforts.

  • Technical understanding of GPU clusters, AI accelerator chips, and cloud providers to effectively evaluate requirements and guide infrastructure decisions.

What You’ll Bring

  • 5–8 years of experience in program management, technical operations, or product execution in a fast-moving, technical environment

  • Proven ability to lead complex, multi-team initiatives spanning engineering and infrastructure systems

  • Strong communication skills with the ability to bridge technical and non-technical stakeholders

  • Experience working closely with engineering teams on distributed systems, cloud infrastructure, or platform development

  • Ability to break down ambiguous problem spaces into clear plans and drive alignment across teams

  • Analytical mindset with experience using data to inform decisions and measure impact

  • Strong ownership and execution mindset, with the ability to manage multiple priorities simultaneously

About Character.AI

Character.AI empowers people to connect, learn and tell stories through interactive entertainment. Over 20 million people visit Character.AI every month, using our technology to supercharge their creativity and imagination. Our platform lets users engage with tens of millions of characters, enjoy unlimited conversations, and embark on infinite adventures.


In just two years, we achieved unicorn status and were honored as Google Play's AI App of the Year—a testament to our innovative technology and visionary approach.


Join us and be a part of establishing this new entertainment paradigm while shaping the future of Consumer AI!

At Character, we value diversity and welcome applicants from all backgrounds. As an equal opportunity employer, we firmly uphold a non-discrimination policy based on race, religion, national origin, gender, sexual orientation, age, veteran status, or disability. Your unique perspectives are vital to our success.

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