Character. AI
Technology
TechnicalProgramManager,ModelAlignmentandDeployment
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Technical Program Manager, Model Alignment and Deployment at Character. AI. Skills: Model Alignment, Model Deployment, AI Safety, ML Infrastructure. Lead planning and execution. Establish scopes, goals, timelines, risks, and success metrics”
Industry & Context.
Analytical; Root cause analysis
What They're Looking For.
Must Have
5+ years of experience in technical program management, Proficiency in SQL, Proficiency in Python
Nice to Have
MS or PhD a plus, Hands-on experience with data pipelines, Hands-on experience with annotation platforms, Hands-on experience with ML evaluation tooling, Hands-on experience with human-in-the-loop workflows, Experience managing annotation vendors, Experience managing external data partners, Familiarity with distributed training, Familiarity with experiment tracking, Familiarity with ML infrastructure, Familiarity with model serving systems, Prior experience embedded in an AI research team, Prior experience embedded in a foundation model lab, Prior experience embedded in a Trust & Safety engineering team, Direct experience managing AI safety programs, Direct experience managing trust programs, Direct experience managing quality eval programs, Direct experience managing red-teaming programs
What You'll Do.
Lead planning and execution
Serve as connective tissue between teams
Translate priorities into executable roadmaps
Keep workstreams aligned
Develop and maintain evaluation frameworks
Track model performance
Track user satisfaction
Drive quality evaluation initiatives
Partner to identify quality signals
Incorporate human feedback
Surface actionable insights
Drive visibility into data pipeline health
Drive visibility into annotation quality
Drive visibility into training run progress
Drive visibility into deployment readiness
Identify bottlenecks across teams
Lead efforts to improve tooling
Lead efforts to improve process
Lead efforts to improve developer velocity
Partner with leadership on prioritization
Partner with leadership on sequencing
Partner with leadership on tradeoffs
Build operational patterns
Refine operational patterns
Own external partner relationships
Manage annotation vendors
Manage evaluation tooling providers
How You'll Work.
Team & Collaboration
Cross-functional teams; Research engineers; Safety experts; Data scientists; Infrastructure engineers; UX researchers; Post-Training team; Safety Engineering team; Trust & Safety team; ML Infra team; UXR team; Product team; Leadership
Communication Scope
Clear narratives; Technical conversations
Process & Methodology
Program management, Roadmap planning, Risk management
Full Job Description
ABOUT THE ROLE Model Alignment and Deployment is a critical, cross-functional effort spanning our Post-Training, Safety Engineering, Trust & Safety, ML Infra/Model Serving, and User Experience Research (UXR) teams. Together, these groups are responsible for transforming powerful pretrained language models into intelligent, engaging, safely aligned, and highly scalable products—working across data, compute, algorithms, infrastructure, and user insights to improve model performance and ensure reliable delivery. As a Technical Program Manager, you will be the operational and programmatic backbone connecting these teams: driving clarity, structure, and execution across some of the most technically complex and high-stakes work at Character.AI http://Character.AI. This is a role for someone who thrives at the intersection of research, safety, user experience, and production. You'll partner closely with research engineers, safety experts, data scientists, infrastructure engineers, and UX researchers to turn ambitious model development goals into well-scoped, well-tracked, cross-functional programs. You will ensure that the data pipelines, evaluation frameworks, alignment workflows, and serving infrastructure underpinning our models are moving fast and moving well. You'll operate effectively in high-ambiguity environments, anticipate risks before they become blockers, and bring the kind of technical fluency needed to earn trust with researchers while communicating clearly to leadership. WHAT YOU’LL DO - Program ownership: Lead planning and execution of cross-functional programs spanning data collection, annotation pipelines, alignment workflows (RLHF, DPO, Constitutional AI), safety guardrails (adversarial testing, red-teaming), and model serving. Establish scopes, goals, timelines, risks, and success metrics. - Cross-functional coordination: Serve as the connective tissue between Post-Training, Safety Engineering, Trust & Safety, ML Infra, UXR, and Product. Translate model
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