C
$220,000 – $260,000
Listed on CharacterAI’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
You'll serve as the operational hub connecting model training, safety, infrastructure, and UX research teams at a consumer AI company, managing complex cross-functional programs from data pipelines through production deployment. This role suits someone with technical depth in ML systems who can translate research ambitions into executable plans and coordinate among specialized engineering teams.
Our summary, not CharacterAI’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- 5+ years in technical program management, research operations, or product execution in AI/ML environment
- Deep familiarity with post-training and alignment concepts (supervised fine-tuning, RLHF, safety frameworks, LLM evaluation)
- Understanding of model deployment and serving infrastructure
- Ability to lead multi-team programs in ambiguous, rapidly evolving environments
- Strong analytical skills with data and user insights
- Proficiency in SQL and Python
- Exceptional communication across technical and non-technical audiences
- Bachelor's degree in quantitative, scientific, or technical field
Nice to have
- Hands-on experience with data pipelines, annotation platforms, or ML evaluation tools
- Experience managing annotation vendors or external data partners
- Familiarity with distributed training, experiment tracking, ML infrastructure (Kubernetes, Docker, cloud), or model serving
- Prior work embedded in AI research teams, foundation model labs, or Trust & Safety engineering
- Direct experience managing AI safety, quality evaluation, or red-teaming programs
- Master's or PhD degree