Gal built ZoomInfo's Developer Platform from zero, then used the results to reshape how 550+ developers build and ship software at a publicly traded GTM intelligence company (4,000 employees, NASDAQ). Measure, build, improve. Infrastructure provisioning went from 5 days to 5 minutes (1500X). Developer satisfaction climbed from 54% to 80%. Ease of work nearly doubled. Cycle time dropped 27%. He designed and delivered the DevSat measurement framework, translated survey insights into quarterly action plans, and directed the roadmap and investments for a ~100-person productivity engineering organization. Enterprise-wide GitHub Copilot adoption across 550+ developers followed, the research is published on Arxiv (2501.13282), one of the few practitioner-led studies on AI-assisted development at enterprise scale. Alongside that, he built peer-to-peer learning communities, ran transparent Feedback Jam sessions, and championed a bottom-up culture where engineers engagement shaped the roadmap directly. Gal publishes on platform engineering, developer experience, AI adoption, and the future of software delivery across Arxiv, ZoomInfo's engineering blog, Medium, and LinkedIn.