The AI Product Manager’s Handbook 1st Edition

Grab the future of product leadership with The AI Product Manager’s Handbook, 1st Edition by Irene Bratsis — a practical, modern guide for building responsible, scalable AI Books across global markets.

This book opens with clear, real-world frameworks that demystify the AI lifecycle: from problem framing and data strategy to model selection, MLOps, and ethical guardrails. Whether you’re in San Francisco, London, Berlin, Bangalore, or Sydney, the strategies translate to diverse teams and regulatory landscapes. Expect actionable checklists, prioritization techniques, and templates that make complex trade-offs tangible for cross-functional stakeholders.

Inside you’ll find step-by-step approaches to: aligning business goals with ML opportunities; running user-centered experiments that reduce bias; partnering with engineering and data science to operationalize models; and crafting roadmaps that balance speed, safety, and scale. Chapters also cover go-to-market considerations, metrics that matter, and governance practices to satisfy compliance needs in North America, Europe, and APAC.

This handbook is ideal for product managers transitioning into AI roles, startup founders, data leads, and UX professionals who want to lead AI initiatives confidently. By the final chapter you’ll be ready to launch measurable, user-centered AI features while mitigating risk and building team alignment.

For a clear, professional playbook that combines product rigor with AI expertise, add The AI Product Manager’s Handbook to your library — your next AI product starts here. Order your copy today.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.