Mounica Sirineni

About Mounica Sirineni

I’ve spent 10 years at Amazon, but not in a straight line. I’ve made intentional moves between 4 distinct product lifecycles, each requiring a different version of product thinking.STARTUP VELOCITYI joined my first team, Prime Video Channels, when the product was 7 months old - launched in US with 20 streaming partners, no playbook, no precedent. I learned to build in motion: laying data foundations and royalty engines all while business expanded to 250+ channels across 4 countries, including live sports.GLOBAL MATURITYFrom there I moved to Amazon Prime. Channels taught me velocity; Prime taught me judgment. How do you design CX when your product touches every Amazon vertical? How do you assess risk when one decision affects 200M+ members? I developed mental models for high-stakes work - orchestrating Prime\'s most complex price increase (first-ever in Canada and Brazil; first across all programs in the US), and building ML-driven tiered-pricing experimentation 0-1.ENTERPRISE COMPLEXITYThen I deliberately went smaller. AWS IoT SiteWise was a niche industrial product with genuine product-market fit challenge. Hardest part - the person who signed the deal and the person who needed to love the product were completely different. So I mapped 13 user personas across full POC-to-production journey to understand where value actually lived and build toward that. It taught me how to find the customer when the customer isn\'t obvious.OPERATIONAL CHAOSCustomer Service is the hardest of all 4. CS is a catch-all - anything that breaks upstream lands here, on top of legacy systems with decades of accumulated workarounds. I led modernization of the decisioning engine behind 200M+ global contacts and $8B annual spend, introducing confidence-tiered AI infrastructure, and building measurement frameworks from scratch.BUILDER\'S INSTINCT10 years of building for customers across 4 very different contexts sharpened one instinct: the best product work starts with being the user. So when I couldn\'t find the right tools for my own workflows, I built them myself - a portfolio of 3 AI-native PM tools, each solving a problem I actually had. github.com/mounicasirineniEDUCATIONMy technical foundation predates my product career - an undergraduate thesis in Computer Vision & Augmented Reality (2014) and a Master\'s spanning recommendation engines, NLP, and real-time data pipelines (2014–2016).OUTSIDE OF WORKWriting Bar Raiser at Amazon. Top mentor on AnitaB.org and Merit. Recently relocated from Seattle to Hyderabad.If something here resonates, I\'d love to connect.

Experience

1. Sr Product Manager - Tech Amazon Customer Service

   Amazon

   Aug 2024 — Present · Seattle, IN

   Transferred from Amazon US to Amazon India in Jan 2026

Education

• University College of Engineering, Osmania University

  Bachelor of Engineering (B.E.), Electronics and Communications Engineering

• University of Illinois Chicago-College of Business Administration

  Master of Science (MS), Management Information Systems

Skills

• Web Design
• Statistics
• C
• Programming
• Microsoft Office
• Powerpoint
• Microsoft Excel
• Databases
• Ms Excel Pivot Tables
• Tableau
• Statistical Modeling
• Pspice
• Rapidminer
• Html
• Leadership
• Php
• Software Engineering
• Sas
• Financial Accounting
• Data Analysis
• Data Mining
• C++
• Predictive Modeling
• Mysql
• Latex
• Algorithm Design
• Management
• Sql
• Data Science
• Css
• Business Intelligence
• R
• Big Data
• Opencv
• Machine Learning
• Redcap
• Psoc
• Sdlc
• Microsoft Visual Studio C++
• Data Modeling