Amgad Al-Zamkan is Co-Founder and Chief Product Officer at Tenor (YC S26), a San Francisco-based AI workforce platform that embeds accountable AI workers directly into company org charts.

Amgad studied Computer Science at UC Berkeley and TU Munich, where he researched optimization objectives in recommendation algorithms and adaptive decision systems under advisor Pieter Abbeel.

As part of an ICML-published team with 3,000+ citations, Amgad brings deep academic rigor to product development, bridging cutting-edge AI research with real-world enterprise automation.

Prior to Tenor, Amgad applied his expertise in judgment-heavy automation at Amazon, giving him firsthand insight into how large organizations struggle to scale knowledge work efficiently.

Tenor launched in June 2026 through Y Combinator's Summer 2026 cohort, redefining how companies deploy AI by treating it as managed labor with defined roles, budgets, and measurable outcomes rather than passive software tools.