💼 Principal Product Manager at Amazon | ex-Apple & ex-Dell
Hello, I'm Saurabh Shidhore
Principal Product Manager at Amazon (ex-Apple, ex-Dell) — driving AI-powered automation, data pipelines, and cross-functional product delivery.
Principal Product Manager at Amazon (ex-Apple, ex-Dell) — driving AI-powered automation, data pipelines, and cross-functional product delivery.
I am a Principal Product Manager and tech-business liaison with 10+ years of experience leading large-scale programs across supply chain, NPI operations, and process optimization. I specialize in driving operational efficiency by integrating AI/ML models, RPA, and custom prompt-engineered agents into enterprise workflows.
With dual degrees — a Master of Science (MS) in Industrial Engineering and an MBA in Supply Chain Management — I excel at bridging technical development and business strategy. I model complex data structures using SQL in Snowflake and Python, transforming them into intuitive BI dashboards (Power BI, Tableau) that identify process bottlenecks.
Currently focused on scaling enterprise AI products and FinTech at Amazon and developing custom agentic workflows to automate cross-functional planning and logistics operations.
Leading product strategy and technical roadmap execution for enterprise-scale AI systems, automation pipelines, and operational analytics platforms at Amazon. Driving cross-functional alignment and technical integration to deliver high-impact business outcomes.
Led project and product management for internal GenAI tools and PPM (Project Portfolio Management) frameworks. Bridged cross-functional engineering teams and corporate strategy to automate operations, reducing sprint overhead and manual reporting cycles.
Designed and optimized robotic process automation (RPA) workflows and business intelligence analytics pipelines. Managed stakeholder requirements, drafted Gherkin BDD criteria, and delivered dashboards tracking global supply chain bottlenecks and sales conversion velocity.
Direct visual evidence of operational BI and Prompt Engineering workflows. Drag range sliders, toggle metric sheets, and simulate LLM execution directly in your browser.
Opportunity Stage Conversion Funnel (33% waiting leakage wait-times at Proposal stage)
Average Sales Pipeline Days-in-Stage (Proposal review stalls cycle duration)
12-Month Cohort Retention Rate vs. Target Industry Benchmark
Kall AI: GenAI Meeting SummarizerAn elite, multi-interactive SaaS product that refactors meeting transcripts into conversational dashboards. Features a Granola-style AI Notepad for real-time notes steering, specialized templates (Sprint, Sales, Retro), checkable checklists with progress meters, speaker talk-share analytics, and an interactive PM Copilot chatbot.
A premium full-stack YouTube Video Summarization application. Offers 3-tiered summarization (Flash, Quick, Deep) powered by Google Gemini 3.5 Flash, Google OAuth registration with Firebase Authentication, a real-time Firestore database history sync, and a custom Bring-Your-Own-Key (BYOK) limit-bypass setup.
An executive decision-support system and interactive browser-based ROI simulator showcasing LLM prompting and compliance workflows across 6 cross-functional roles. Includes automated logging and tokenization simulations.
An enterprise Business Intelligence platform modeling Salesforce CRM data pipelines, custom DAX metrics, and interactive growth simulations to achieve Apex's 7% YoY growth target. Features coordinate-pulsing territorial heat maps and vector 50-state charts.
I am actively seeking Product Manager, Program Manager, or Lead Analyst roles. Let's discuss how I can bring automation and analytics strategy to your team.