- Own delivery for significant features or systems: clarify requirements, design the solution, execute, ship, and iterate.
- Build and maintain reliable services and workflows that support AI features in production.
- Define how quality is measured for your area (success metrics, test strategy, evaluation approach) and automate it wherever possible.
- Run structured experiments, interpret results, and translate learnings into product improvements.
- Improve operational readiness: deployment automation, monitoring/alerting, incident follow-up, and performance/cost optimizations.
- Mentor teammates through design feedback, code reviews, and practical guidance.
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