Product management

Why every company now needs to think and operate like a lab team | Josh Woodward (VP Google Labs)

Why every company now needs to think and operate like a lab team | Josh Woodward (VP Google Labs)

Josh Woodward, head of Google Labs, the Gemini app, and AI Studio, explains why every company needs to operate like a labs team in the AI era. He covers where great ideas really come from, the almost-possible framework, how to recognize product-market fit by watching people's eyes, when to kill an idea, the skills rising in value such as unlearning rate and explosive endurance, why roles are not collapsing into a single builder, and how to structure an internal lab that graduates ideas without being crowded out.

Roles aren't converging—they're expanding | Tamar Yehoshua (Atlassian CPO)

Roles aren't converging—they're expanding | Tamar Yehoshua (Atlassian CPO)

Atlassian's Tamar Yehoshua explains what the AI builder era looks like for product managers in a company of more than 10,000 people. Using Confluence, RovoClaw, and Jira as examples, she covers when PMs should write code and prototypes, when they should steer the team instead, and how Atlassian is building AI fluency in its PM organization.

What it takes to be a top PM today | Robby Stein (Google Search)

What it takes to be a top PM today | Robby Stein (Google Search)

Robby Stein, drawing on his work on Instagram Stories, Reels, and AI-era Google Search, argues that the core craft of product management is making great decisions. He lays out a three-part process: understand people's underlying needs through jobs to be done, diagnose why a product is failing through root cause analysis and iteration, and refine the craft details that make a product work well and feel delightful.

The last roadmap | Claire Vo

The last roadmap | Claire Vo

Claire Vo argues that AI has rendered traditional product roadmaps obsolete. With AI accelerating execution, the bottleneck has shifted from building capacity to generating meaningful ideas and fostering strong conviction. She outlines three traps (backlog, parity, churn) created by combining AI with old roadmaps, and proposes a new approach centered on durable convictions, disposable features, and a "roadmap of ambition" driven by evidence and bold experimentation rather than fixed feature lists.

How to build products on a moving frontier | Dan Shipper (Every)

How to build products on a moving frontier | Dan Shipper (Every)

Dan Shipper, co-founder and CEO of Every, advocates for a dedicated 'labs team' to navigate the rapid evolution of AI capabilities. He argues that traditional product development struggles with the 'moving frontier,' proposing a model where a small, experimental lab explores new AI ideas and capabilities, while the main product team focuses on scaling existing offerings. Shipper outlines how to establish and run such a lab, from team composition ('pirates' and 'architects') to rigorous experimentation, dogfooding, and a structured pipeline for integrating successful innovations into the core product, enabling continuous disruption and growth.

How we built Grok Bot in a month | Roman Ugarte (SpaceXAI)

How we built Grok Bot in a month | Roman Ugarte (SpaceXAI)

Roman Ugarte, a key figure behind Grok Bot, shares insights into its rapid development, emphasizing the strategic choice to build it as a separate, cloud-first product with bots having their own dedicated 'computers.' The discussion highlights a "colleague-pilled" product philosophy focused on full delegation and constant reinvention, enabling the creation of autonomous AI teammates for both work and personal life.