The Role of Product in the Age of AI
TL;DR: Free, 60-minute session. AI didn't just hand product teams a faster keyboard, it moved the line between Product, Design, and Engineering. Greg Biggers has led product through more than $3B in exits, most recently as VP of Product & Design at Airship, and has spent a decade training PMs at General Assembly. Eran Dror hosts and pushes him on where the theory holds up against an actual team on an actual deadline.
Every product org right now is running the same experiment without admitting it. PMs are shipping prototypes that used to require an engineer. Engineers are making product calls that used to require a PRD. The handoff that structured how software got built for twenty years is dissolving into something more continuous, and most teams have no playbook for what replaces it. The tools rolled out fast. The org chart, the review process, and the sense of who owns what did not catch up nearly as quickly.
This is a conversation, not a lecture. Eran presses Greg on the parts of this that sound too clean, Greg pushes back with what he has actually seen fail inside real product orgs, and we stay on one question the whole time: what should you change about how your team works this quarter, not in some abstract future. We spend real time on the hardest part, which is keeping a human accountable for an outcome.
Casual and cameras-off. Drop questions in the chat whenever they come up, and we leave time for open Q&A at the end.
Here's What You'll Walk Away With
The blur is real, the roles aren't gone: what actually stays distinct between Product, Design, and Engineering once AI erases the old lines between them, and what doesn't.
PMs who ship code: why more PMs are prototyping and shipping small changes themselves, and where that stops being a good idea.
The death of the handoff?: what replaces the PRD-to-engineering handoff when AI sits inside the collaboration continuously instead of at one document dropoff.
The tools are the easy part: why getting a whole org to actually change how it works is harder than getting anyone to adopt a new tool, and what that resistance looks like up close.
Speed without losing the thread: the practices teams are using right now to keep a human accountable for the outcome even as execution gets faster.
Who Should Join?
Product managers deciding how hands-on to get with prototyping and shipping
Engineering leads renegotiating where product decisions actually get made
Design leaders figuring out where design judgment still has to be a human call
Heads of Product rolling out AI tools across a team and hitting more resistance than expected
Founders and early PMs building without a large team to absorb the transition
No technical background required. Nothing to install, nothing to prepare.
About the Speakers
Greg Biggers is a product executive and coach who has led product teams through more than $3B in combined exits. He is currently VP of Product & Design at Airship and has spent over a decade on the product management faculty at General Assembly, mentoring hundreds of PMs. Earlier in his career he led the product team at Responsys through its $1.5B acquisition by Oracle, and held product roles at Apple, Vantive, and other consumer and enterprise companies. A three-time Chief Product/Technology Officer, he has led and mentored 400+ product and engineering professionals through the shift to outcomes-based, AI-native product operating models. Through his practice, Continuous, he now coaches founders and product leaders and takes on fractional CPO engagements.
Eran Dror is the Co-Founder & CEO of Evermuse, an AI product intelligence company. He is also the Managing Partner of Remake Ventures, a venture studio focused on building human-centered startups. He has helped 40+ startups raise $300M+ by finding product-market fit, including his first exit SetJam, a smart TV startup that sold to Motorola in 2012.