AI/ML Product Managers Guide Series

AI/ML Product Manager Guide

This Multi-part Product Manager’s Guide 🚀, is a series that explores how PMs can define, shape & scale responsible AI using Vertex AI on GCP ☁️. From RLHF 🧠 and human feedback loops 👥 to ethical alignment ⚖️, safe deployment 🛡️, and trustworthy UX 🎯—each post offers real-world insights to build AI that’s not just smart, but human-centered. Perfect for PMs building the next-gen AI products. 💡 Let’s make AI that makes sense and build the Human-AI Interaction & UX.

AI/ML Product Manager Guide Featured

Building Industry-Ready AI Models, A Product Manager’s Guide to AI Governance & Responsibility

Product Managers are no longer just optimizing model performance — we are accountable for model integrity. We explore how to build governance as a first-class product features. From fairness audits to DLP-based redaction and drift monitoring operationalize responsible AI principles and mitigate bias

AI/ML Product Manager Guide Featured

Building Human-Aligned AI Products with RLHF — A Guide for Product Managers

As AI models become more powerful, aligning their behavior with human values is no longer optional—it's a necessity. This guide breaks down how Product Managers can deploy Reinforcement Learning from Human Feedback (RLHF) using Vertex AI. Structure human-in-the-loop pipelines & train reward models.

AI/ML Product Manager Guide Featured

A Product Manager’s Guide to bringing out the "Good" in AI Models

As AI adoption accelerates, one question comes up repeatedly: What makes an AI model truly good? As a Product Manager advising teams on Google Cloud’s Vertex AI and other platforms, my role is to define, measure, and operationalize "goodness". A step to move from MLOps to BehaviorOps.