Character.AI04/21/2026

Технический программный менеджер, AI-инфраструктура

Salary not specified
MARKET
13,534median for this role
Tech Lead / Team Lead · 166 jobs with disclosed pay
5,250half of the offers: 9,771–18,1061.2 млн
The employer didn't disclose pay — compare with the market yourself.
Полная занятостьУдалёнка

Responsibilities

  • 01Lead planning and execution of major AI infrastructure initiatives spanning training pipelines, data systems, model evaluation, and inference/serving
  • 02Build structures that keep teams aligned: scopes, goals, requirements, timelines, risks, and success metrics
  • 03Partner with engineering, research, and product to translate model and product needs into infrastructure roadmaps and priorities
  • 04Drive cross-functional accountability and communication across teams working on tightly coupled systems
  • 05Track key infrastructure metrics (e.g., reliability, latency, throughput, cost efficiency) and define reporting that surfaces progress and risk
  • 06Identify bottlenecks in infrastructure workflows and lead efforts to improve tooling, automation, and developer velocity
  • 07Support capacity planning and resource allocation to ensure infrastructure scales with model and product growth
  • 08Develop repeatable frameworks and operational patterns that improve execution quality across infrastructure programs
  • 09Serve as a strategic partner to leaders on prioritization, sequencing, and tradeoffs across infrastructure investments
  • 10Work closely with AI cloud providers and serve as the primary bridge between internal engineering teams and external partnership efforts

Requirements

  • 015–8 years of experience in program management, technical operations, or product execution in a fast-moving, technical environment
  • 02Proven ability to lead complex, multi-team initiatives spanning engineering and infrastructure systems
  • 03Strong communication skills with the ability to bridge technical and non-technical stakeholders
  • 04Experience working closely with engineering teams on distributed systems, cloud infrastructure, or platform development
  • 05Ability to break down ambiguous problem spaces into clear plans and drive alignment across teams
  • 06Analytical mindset with experience using data to inform decisions and measure impact
  • 07Strong ownership and execution mindset, with the ability to manage multiple priorities simultaneously