E-Book: AI Product Manager: Building Tomorrow

LinkLyudmila Borovikova, Inna Botchkina, Elena Putalova, Lev Selector, Vitalii Stinskii, Yana YakubsfeldResource

The e-book 'AI Product Manager: Building Tomorrow' serves as a field manual for product managers and founders developing AI-driven products. Spanning 156 pages, it outlines practical approaches from model validation to cross-functional alignment.

Key points

  1. Addresses seven common pitfalls teams encounter when developing AI products.
  2. Presents approaches for data pipelines, model validation, prompt design, and ethical risk triage.
  3. Explains how to scope, ship, and iterate on MVPs where the AI model serves as the core feature.
  4. Emphasises business-driven metrics rather than focusing strictly on model accuracy.
  5. Offers frameworks for cross-team coordination across product management, data science, engineering, design, and legal.
  6. Examines emerging topics including multimodal UX, AI agents, guardrails, and realistic perspectives on AGI.

Why it matters

AI product initiatives frequently struggle with misaligned metrics, cross-functional friction, and buzzword-heavy expectations. The book tackles the operational challenges of turning machine learning models into reliable, functional digital products.

Analysis

Aimed at product managers, founders, and builders, the book focuses on execution rather than theoretical discourse. Its value lies in pragmatic workflows and checklists to manage technical, legal, and operational risks across diverse teams.

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Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.

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