# Arvind Ranganathan > Product at Meta (Ex-Amazon) | Haas Location: San Francisco Bay Area, United States Profile: https://flows.cv/arvindranganathan Experienced Product Manager with experience in Consumer Electronics, Home Entertainment and Enterprise Software. Strong data and analytics focus leading Demand Planning for AWS. ## Work Experience ### Product Lead @ Meta Jan 2020 – Present Wearables / AI Glasses Past: Devices Lead for Meta Portal ### Sr. Product Manager - Emerging Devices @ Amazon Jan 2018 – Jan 2020 ### Senior Product Manager @ Amazon Web Services (AWS) Jan 2017 – Jan 2018 | San Jose, CA, United States ✦ Product Manager for a software product to smooth the variability in forecasts and drive optimal CapEx decisions ✦ Owned the long range planning for AWS' Infrastructure in Americas regions ✦ Engaged with Real Estate, Data Science, Operations, Finance and Services teams to to derive optimal capacity decisions ✦ Delivered strategic plans that drove Go/No Go decisions for new region launches ✦ Saved $—- through optimization of buffer build up in the infrastructure pipeline ### Technical Lead @ Qualcomm Jan 2010 – Jan 2017 Technical lead for camera and graphics processors. Enabled commercialization of Tier 1 Android phones. ### Sr. design verification engineer @ Marvell Jan 2007 – Jan 2010 Hardware verification of first generation of connected home devices. Interfaced with potential customers at HDMI conference to test prototype solutions for inter-operability and enable early software development. ### Pre-Si Validation Intern @ Intel Corporation Jan 2006 – Jan 2007 Verified chipsets intended for server market. ## Education ### University of California, Berkeley, Haas School of Business ### MS in VLSI Arizona State University ### Bachelor of Engineering (B.E.) in Electronics and Instrumentation Anna University Chennai ### Vidya Mandir ## Contact & Social - LinkedIn: https://www.linkedin.com/in/arvindranga --- Source: https://flows.cv/arvindranganathan JSON Resume: https://flows.cv/arvindranganathan/resume.json Last updated: 2026-04-07