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Matthew Tenney

Principal Product Manager, Ai & Last-mile Delivery Platforms @Amazon

Austin, TX, US
EMAILS
m••••••@amazon.com
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Jun 2022 — Present

Principal Product Manager, Ai & Last-mile Delivery Platforms @Amazon

Austin, TX, US

Lead end‑to‑end product strategy for AI‑powered mobile platforms that improve delivery quality, efficiency, and driver experience at global scale.• Own product vision and roadmap for agentic, decision‑support systems that transform complex operational data into proactive, on‑road guidance • Delivered $300M+ in annualized savings through reductions in defects, concessions, and cost‑to‑serve • Partner across engineering, applied science, design, and operations to scale AI‑driven mobile experiences across NA, EU, and APAC • Drive the shift from static rules to learning, adaptive workflows that augment human judgment and improve safety, trust, and reliability • Shape next‑generation experimentation and learning platforms to accelerate AI product innovation in real‑world environments Result: durable, human‑centric AI that makes every delivery more predictable, efficient, and reliable—at planetary scale.

EDUCATION

2011 — 2013

University of Arkansas

Master of Arts (M.A.), Geographic Information Science and Cartography

2013 — 2018

McGill University

Doctor of Philosophy (Ph.D.), Computer and Information Sciences

2004 — 2008

PennWest Clarion

BS, Geographic Information Science and Cartography

ABOUT MATTHEW TENNEY

15+ years of experience across computing infrastructure and cloud platforms, including leading product, engineering, and applied research teams to deliver scalable, production-grade systems.At Amazon, I lead end‑to‑end product strategy for applied AI systems that influence billions of annual deliveries, improve safety and reliability, and deliver hundreds of millions in annualized cost savings. My work centers on transforming complex operational data into agentic, decision‑support products that proactively guide frontline operators and augment human judgment in high‑stakes environments.Across my career, I’ve operated at the intersection of product, applied science, engineering, and operations, owning platforms from early conception through global deployment. I’ve led multi‑disciplinary organizations, modernized legacy systems into cloud‑native AI platforms, and scaled mobile and data products where accuracy, trust, and operational precision are non‑negotiable.In addition to Big Tech leadership, I’ve served as Head of Technology and Product at high‑growth startups and founded an applied AI company delivering decision‑critical platforms for enterprise and public‑sector clients. These experiences sharpened my executive judgment, customer empathy, and bias toward execution.

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