Character.AI02.06.2026
Technical Program Manager, Model Alignment and Deployment
Полная занятостьRedwood City
Обязанности
- 01Lead 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
- 02Establish scopes, goals, timelines, risks, and success metrics for programs
- 03Serve as the connective tissue between Post-Training, Safety Engineering, Trust & Safety, ML Infra, UXR, and Product teams
- 04Translate model development, safety, and user experience priorities into executable roadmaps
- 05Develop and maintain custom evaluation frameworks to track model performance and user satisfaction
- 06Drive comprehensive quality evaluation initiatives alongside rigorous safety and toxicity baselines
- 07Partner with UXR, researchers, and engineers to identify quality signals, incorporate human feedback, and surface actionable insights on model behavior in production
- 08Drive visibility into data pipeline health, annotation quality, training run progress, and deployment readiness
- 09Identify bottlenecks across teams and lead efforts to improve tooling, process, and developer velocity
- 10Partner with research, safety, product, and UXR leadership on prioritization, sequencing, and tradeoffs
- 11Build and refine operational patterns, ontologies, and frameworks for scaling new capability development
- 12Own external partner relationships supporting workstreams, including annotation vendors, evaluation tooling providers, and data partners
Требования
- 015+ years of experience in technical program management, research operations, or product execution in a fast-moving AI, ML, or research environment
- 02Deep familiarity with post-training and alignment concepts (supervised fine-tuning, RLHF, AI safety frameworks, LLM evaluation) and model deployment/serving
- 03Proven ability to lead complex, multi-team programs in ambiguous, rapidly evolving environments
- 04Track record of shipping with quality and speed
- 05Strong analytical mindset; comfortable working with data and user insights to measure program health, identify trends, and drive decisions
- 06Proficiency in SQL and Python
- 07Exceptional communication skills - able to translate deep technical work into clear narratives for leadership and hold detailed technical conversations with engineers
- 08Obsessive about data integrity, operational rigor, and process quality
- 09BS in a quantitative, scientific, or technical field; MS or PhD a plus