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Technical Program Manager, Model Alignment and Deployment

Character.AI· Safety
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Redwood City, CA$220k - $260kFull-timePosted 4mo ago

About the role

Technical Program Manager coordinating cross-functional efforts to transform pretrained language models into safely aligned, scalable products by connecting Post-Training, Safety Engineering, Trust & Safety, ML Infra/Model Serving, and UXR teams.

Responsibilities

  • 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 development, safety, and user experience priorities into executable roadmaps, keeping tightly coupled workstreams aligned from post-training through to production deployment.
  • Evaluation & quality: Develop and maintain custom evaluation frameworks to track model performance and user satisfaction. Drive comprehensive quality evaluation initiatives alongside rigorous safety and toxicity baselines. Partner with UXR, researchers, and engineers to identify quality signals, incorporate human feedback, and surface actionable insights on model behavior in production.
  • Operational excellence: Drive visibility into data pipeline health, annotation quality, training run progress, and deployment readiness. Identify bottlenecks across teams and lead efforts to improve tooling, process, and developer velocity.
  • Strategic partnership: Partner with research, safety, product, and UXR leadership on prioritization, sequencing, and tradeoffs—balancing aggressive capability scaling with strict safety requirements, user needs, and infrastructure constraints.
  • Process development: Build and refine the operational patterns, ontologies, and frameworks used to scale new capability development—from prompt engineering and data generation to model behavior specification and safety guidelines.
  • Vendor & partner management: Own external partner relationships supporting these workstreams, including general and safety-focused annotation vendors, evaluation tooling providers, and data partners.

Qualifications

  • 5+ years of experience in technical program management, research operations, or product execution in a fast-moving AI, ML, or research environment.
  • Deep familiarity with post-training and alignment concepts (supervised fine-tuning, RLHF, AI safety frameworks, LLM evaluation) as well as model deployment/serving, sufficient to engage substantively with both research and infrastructure engineers.
  • Proven ability to lead complex, multi-team programs in ambiguous, rapidly evolving environments; track record of shipping with quality and speed.
  • Strong analytical mindset; comfortable working with data and user insights to measure program health, identify trends, and drive decisions.
  • Proficiency in SQL and Python.
  • Exceptional communication skills - able to translate deep technical work into clear narratives for leadership, and to hold detailed technical conversations with engineers across different disciplines.
  • Obsessive about data integrity, operational rigor, and process quality without letting process slow teams down.
  • BS in a quantitative, scientific, or technical field; MS or PhD a plus.

Skills

Required:Program managementPost-training and alignment conceptsSQLPythonCommunication

Benefits

  • Top-notch health coverage for you & your family, majority of the premium covered
  • Generous 401(K) contribution
  • Paid leave up to 20 weeks for new parents
  • 4 weeks of PTO
  • In-office catering plus a monthly Doordash stipend
  • Monthly wellness stipend
Last updated Jul 15, 2026. Interested? Apply on the company site.
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