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Technical Program Manager, AI Infrastructure

Character.AI - Redwood City, CA, Redwood City, California, United States

Posted Apr 20, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
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401(k) match
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Market context

U.S. role benchmark (BLS OEWS)
$61,842 U.S. median for this role
Projected growth (BLS Employment Projections)
+1.9% - Slower

Matched to SOC 11-1021 - Operations aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Operations From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026

Schedule

Shift type
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Weekend work
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Company

Company stage
Growth-stage From the posting source checked Jun 20, 2026

Application

Cover letter
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Assessment
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Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Technical Program Manager, AI Infrastructure Redwood City, CA, Redwood City, California, United States About the Role We're hiring a Technical 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

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