Quinn — Model Behavior Engineer

Type: Secondary Persona
Responsibilities
- Owns the AI product quality bar: defines what “good” looks like and drives improvements
- Context engineering: designs, tests, and iterates on system/tool prompts and context strategies
- Lives in production data (transcripts, logs, feedback) to reproduce issues, find root causes, and turn symptoms into actionable problem statements
- Builds evals and measurement loops: datasets, evaluation strategies, tracking quality over time, catching issues before users do
- Benchmarks and launches new models with frontier labs (OpenAI, Anthropic, Google): quality, latency, cost, edge cases
- Embedded partner to product/eng/design/data: drives quality prioritization and the “voice of quality” narrative
- Helps evolve AI observability and eval tooling and the playbooks that scale AI product quality
Related Problem Statements
No problem statements directly associated with this persona.