TLDR Product Management 2026-11-10

AI is speeding up engineering. Can Product keep the next decision ready? Join guest speaker Tony Plec from Forrester and Atlassian's Axel Sooriah to explore where decisions get stuck, how decision-making responsibilities are shifting across Product, Engineering, and Design, and what leaders should change for 2027.

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Gemini Head of Product Tulsee Doshi explains that model development is unpredictable, comparing it to potion-making where PMs guide models by understanding their "vibes." She also outlines Google's AI strategy: winning frontier conversations with models like Gemini 4 Argon while serving diverse cost and quality needs across a Pareto curve.

The traditional Minimum Viable Product approach is obsolete because modern engineering tools have drastically lowered software development costs. Teams should instead ship a maximum viable product that solves a customer's complete problem, shifting the primary growth bottleneck from engineering capacity to customer understanding and adoption.

Spotify engineering leaders examine how AI product management varies across technical research, foundational models, and user-facing experiences. They highlight how evaluation metrics, feedback loops, and customer definitions shift depending on the problem space.

Bellwether is a revenue-weighted feedback engine for B2B SaaS that combines support, sales, and NPS signals with CRM account revenue. Weighting themes by ARR and renewal proximity rather than raw count inverts roadmaps to protect major enterprise accounts.

Neuroscience has proven that handwriting beats typing for creativity, critical thinking, and memory. Goodnotes is the notetaking app for product managers that prefer a tablet to a Google Doc - create diagrams, plan release timelines, or mockup UI. Write and draw by hand, then search it like typed text. Try Goodnotes for free.

AI-driven development tools have dramatically accelerated feature production, overwhelming teams with pull requests that may lack customer value. To manage this volume, leaders should democratize strategic clarity, set evidence-based deployment gates, mandate clear hypotheses, and measure outcomes over raw output.

Product managers can use AI tools like Claude Code for proactive, automated email customer research at scale. Integrating customer data with automated outreach allows teams to run thousands of continuous conversations, capturing insights and boosting conversion rates.

To resolve bottlenecks from increased AI coding output, software company Faire created a product builder program to transition engineers into end-to-end product owners. Expanding engineers' product and design skills reduced handoffs, leading to faster feature delivery and improved customer outcomes.

This article presents a framework for product strategy based on three structures (the field, gameplay, and players) and their binding relationships: operations, orientation, and traction. Maintaining balance across these interlocking elements prevents common strategic breakdowns like stagnation.

Effective software relies on clear underlying structure over endless customization.

A working product fails if customers misunderstand its value.