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.