- Define system architecture for AI-native product surfaces
Design foundational systems (generation pipelines, data models, evaluation frameworks) that power multiple product areas.
- Drive cross-team technical strategy
Lead initiatives that span product, AI, and infrastructure teams, ensuring alignment on architecture and execution.
- Establish best practices for AI product engineering
Set standards for how we build with AI—covering areas like evaluation, reliability, iteration loops, and system design.
- Translate ambiguity into scalable systems and product direction
Take loosely defined opportunities and turn them into clear technical approaches and execution plans.
- Raise the bar across the organization
Influence engineering quality, system design, and product thinking beyond your immediate team.
- Shape how AI accelerates engineering velocity
Drive adoption and best practices for AI-assisted development, improving how teams design, build, and iterate on product.