AI Product Management

About AI Product Management

Welcome to AI Product Management — your go-to audio hub for mastering the intersection of artificial intelligence, product strategy, and real-world impact. This channel breaks down how today’s most innovative products are built using AI—from LLMs and generative AI to data-driven decision-making and scalable ML systems. Whether you're an aspiring PM, a tech professional, or an experienced product leader, you'll learn how to think, build, and grow like an AI-first product manager. 🚀 What you’ll discover: Turning AI capabilities into real product value Building and scaling AI-powered products

Publisher

data magics

Category

education

Language

en

Explicit

No

First episode

26 Mar 2026

Latest episode

7 Oct 2026

Latest episodes

64 episodes in the feed.

1. 

   7 Oct 2026

   Your Industry Knowledge | AI Product Management - Episode 9

   Spotify Episode #9 — Your Industry KnowledgeYour Industry Knowledge | AI Product Management — Episode 9 In AI Product Management, knowing the technology isn’t enough. Your industry knowledge can become one of your biggest competitive advantages. In this episode, we explore why great AI Product Managers need to understand the industry they operate in — its customers, workflows, economics, regulations, competitors, data, and the problems that actually matter. We’ll look at how deep domain knowledge helps you: • Identify high-value AI opportunities instead of chasing AI for AI’s sake • Ask better questions and challenge technical assumptions • Understand customer pain points and real-world workflows • Evaluate where AI can create meaningful business value • Spot emerging trends before they become obvious • Communicate more effectively with domain experts, engineers, data scientists, and executives • Build differentiated AI products that are difficult to replicate The strongest AI Product Managers aren't just experts in AI. They understand where AI intersects with an industry — and why that intersection matters. 🎙️ AI Product Management Podcast — Episode 9: Your Industry Knowledge

2. 

   5 Oct 2026

   Establish a Launch War Room: How AI Product Managers Orchestrate Successful Launches

   Launching an AI product is rarely just about hitting the “release” button. The real work begins when multiple teams need to move together, decisions need to happen quickly, and unexpected issues start appearing in production. In this episode, we explore how an AI Product Manager can establish and run a Launch War Room—a focused operating mechanism that brings the right people, data, decisions, and escalation paths together before, during, and after launch. We discuss how to structure the war room, define clear ownership, establish launch criteria, and create a single source of truth for launch readiness. We also look at the metrics and signals that matter during an AI launch, including adoption, engagement, model quality, latency, cost, reliability, safety, and user feedback. The episode also covers: • How to identify the right stakeholders and decision-makers • Defining Go / No-Go launch criteria • Creating clear roles, owners, and escalation paths • Setting up real-time dashboards and launch metrics • Managing AI-specific risks such as hallucinations, model degradation, latency, cost spikes, and safety issues • Coordinating Engineering, Product, Design, Data Science, Marketing, Sales, Support, and Leadership • Handling launch-day incidents without creating organizational chaos • Making fast, data-driven decisions when things don't go according to plan • Establishing communication rhythms and escalation protocols • Monitoring the first hours and days after launch • Running post-launch reviews and turning learnings into product improvements A Launch War Room isn't about creating more meetings or adding bureaucracy. Done well, it creates a high-velocity decision-making environment where everyone knows what is happening, what matters, who owns the decision, and what needs to happen next. For AI products in particular, where the behavior of the product can evolve with models, data, users, and real-world usage, having this operating mechanism can make the difference between a controlled launch and a chaotic one. Whether you're launching an AI-powered feature, an entirely new product, or taking an existing AI product to a much larger scale, this episode provides a practical framework for building the launch command center around it. 🎧 Listen in and learn how to turn launch execution into a repeatable AI Product Management capability. #AIProductManagement #ProductManagement #AI #ProductLaunch #AIPM #ProductLeadership #LaunchStrategy #ArtificialIntelligence

3. 

   29 Sept 2026

   Measuring Quality in GenAI: Beyond Accuracy

   How do you measure whether a Generative AI product is actually good? Traditional software gives us relatively clear metrics: accuracy, latency, uptime, conversion, and errors. GenAI changes the equation. The output is probabilistic, open-ended, and often subjective — which makes “quality” much harder to define, measure, and improve. In this episode, we explore how product managers can build a practical quality framework for GenAI products. We look at questions such as: • What does “quality” actually mean for a GenAI experience? • Why traditional accuracy metrics often fall short • The difference between model quality, response quality, and product quality • How to evaluate correctness, relevance, helpfulness, groundedness, safety, and consistency • Offline evaluation vs. online evaluation • Building evaluation datasets and representative test cases • Human evaluation, LLM-as-a-Judge, and automated evaluation • How to handle subjective outputs and different user expectations • Measuring hallucinations and factual reliability • The role of task success and user outcomes in GenAI evaluation • How product teams should think about quality trade-offs between quality, latency, and cost • Designing a continuous evaluation loop as models and prompts evolve The key shift is from asking “Is the model accurate?” to asking: “Did the AI help the user accomplish what they were trying to do?” For AI product managers, engineers, founders, and anyone building GenAI products, this episode provides a framework for turning the vague concept of “AI quality” into something that can actually be evaluated, monitored, and improved. 🎙️ AI Product Management Podcast #AI #GenAI #ProductManagement #AIPM #ArtificialIntelligence #LLM #AIProduct #Evaluation #AIQuality #ProductManagement

Reach and audience

Public platform figures. Ratings count people who left a rating, not total listeners.

Apple Podcasts (US)

5.0 / 5

1 ratings

Spotify

5.0 / 5

1 ratings

Contact AI Product Management

Guest appearances

Does not typically book guests

Based on episode analysis; this does not confirm that the show is currently accepting guests.