This Product Leader Built Her Own PM OS with Claude Code: LIVE Demo | Parul Goel (ex-Indeed/PayPal)

We’ve got something different today: a live demo and walkthrough of how an actual product leader built a real, PM-focused tool with AI.

Our guest today put her proverbial money where her mouth is when she got sick of the AI hype and anxiety and grew tired of writing the same status update five different ways for five different audiences. So she decided to build her way out of the never-ending loop of draft, then repackage again and again and again.

And today, she’s going to demo it for us and show how she and a team of collaborators built an entire AI PM operating system to help with the myriad of similar, repetitive tasks that product leaders face!

Parul Goel has spent nearly 20 years in product, including almost nine at PayPal building a zero-to-one payments platform for marketplaces, and her recent stint as Senior Director of Product at Indeed.com, leading the payments and billing platform through a major scaling challenge.

In this episode, Parul shows:

• A live demo of the PM operating system she built with 3 fellow product leaders and the four-layered architecture behind it
• Why the "context library" and codifying company identity, stakeholders, and voice is the layer most people skip, BUT the one that matters most
• And how the system handles core PM workflows like exec updates, cross-functional communication, customer interview synthesis, and PRD drafts

Links

Parul's LinkedIn: https://www.linkedin.com/in/pg2121/
PM OS GitHub project: https://github.com/goelparul-cyber/AI-PM-OS
Parul's collaborators:

• Vidya Sarangapan: https://www.linkedin.com/in/vsara/
• Priyank C.: https://www.linkedin.com/in/priyankachaturvedimit/
• Bhagyashree Prabhakar: https://www.linkedin.com/in/bhagya-prabhakar/

Chapters

00:00 Introcution
02:58 The inspiration behind Parul's PM OS tool
07:26 Live Demo: Exec update (Video version on YouTube!)
12:54 Other PM OS skills
13:55 Why building the context library is the most important part of the process
20:48 The future of PM with AI
21:57 Conclusion

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