#66 Priyank Mohan: From QA to Platform PM @ Amazon Rights-First Systems at Scale

Priyank Mohan traces a candid journey from QA/testing and networking, through consulting at PwC and Accenture, to platform product leadership at Amazon—owning 0→1 builds that now serve a 2M+ workforce. In this conversation, he unpacks his current mission: enabling Amazon to uphold UN-aligned human rights standards across its global supply chain. Priyank explains how his team builds the underlying platforms—guardrails, monitoring, and automation—that help program owners detect risks (e.g., forced or child labor), trigger remediation, and measure adherence at massive scale. The product challenge, he notes, is familiar: translate abstract principles like fairness and dignity into concrete requirements, scalable architectures, and auditable outcomes—so humans spend time on high-judgment work, not toil.He contrasts consulting with building inside Big Tech: as a consultant you ship prototypes and move on; as a PM you own decisions end-to-end—high risk, high reward. That ownership demands data-driven prioritization and, crucially, the ability to say “no.” A consulting habit he still relies on is visual storytelling: pairing Amazon’s document culture with clear architecture diagrams and workflows to align diverse stakeholders.Priyank shares a formative DevOps engagement where his team stitched open-source tooling into a CI/CD pipeline that took code from build to production-ready in about an hour—an experience that sharpened his “deliver incrementally” mantra. He and Federico explore why enterprise product is uniquely hard: entrenched behaviors, political friction, risk aversion, and adoption hurdles. Priyank’s antidote is relationship-driven discovery—maintaining a small, representative set of “first-name-basis” users, challenging surface requests to get to root causes, and deciding what not to build (avoiding the “Homer Simpson car” of features).On AI, he’s optimistic but grounded: today it supercharges prototyping and alignment, not production by default. Non-determinism and missing abstractions mean engineering rigor still matters—but PMs can now demonstrate visions in minutes, accelerating discovery and consensus.About Priyank Mohan:- https://www.linkedin.com/in/priyankmohan/About Federico Ramallo ✨👨‍💻🌎🚀 Software Engineering Manager | 🛠 Founder of DensityLabs.io & PreVetted.ai | 🤝 Connecting 🇺🇸 U.S. teams with top nearshore 🌎 LATAM engineers- 💼 https://www.linkedin.com/in/framallo/- 🌐 https://densitylabs.io- ✅ https://prevetted.ai🎙 PreVetted Podcast 🎧📡- 🎯 https://prevetted.ai/podcast- 🐦 https://x.com/PrevettedPod- 🔗 https://www.linkedin.com/company/prevetted-podcast00:00 Introduction to Ethical Tech and Human Rights02:14 Human Rights in Supply Chain Management06:42 Translating Ethics into Product Requirements09:19 Measuring Impact Beyond Metrics11:06 Consulting Habits in Product Management12:37 Transformative Experiences from Consulting16:22 Building vs. Advising: The Consultant's Perspective20:49 The Value of Fresh Perspectives23:31 Ownership and Impact in Product Development27:10 The Thrill of the Unknown in Product Management30:39 The Art of Product Management34:40 Challenging the Status Quo39:04 Building Relationships with Users41:34 Navigating Enterprise Challenges46:22 Innovation vs. Risk in Enterprises49:30 The Impact of AI on Product Management52:44 Advice for Aspiring Product Managers55:41 Looking Ahead: The Future of AI