define the problem, shape MVP scope, set success metrics, and align stakeholders on what “done” means. Build and ship software AI-natively across the SDLC (planning, implementation, testing, code review, debugging, and operations), with clear validation practices to maintain correctness and quality. Measure and improve delivery outcomes using engineering metrics … 7+ years of software development experience, including ownership of product capabilities in production. Demonstrated, heavy AI-native delivery: consistent use of AI across the SDLC with concrete examples of faster delivery and maintained/improved quality. Strong engineering judgement under uncertainty; ability to simplify and still build something great. Experience ...