ArchiveFM

Duration
1h 21m
Broadcast on
30 Aug 2026
Audio Format
other
- If you think about the first era of AI products as chat, the second era of these products working with agents at third era that might come soon as how do you work with a persistent coworker who is able to get things done with you? - There's this idea of the overhang of what AI is capable of and what we're actually doing with it. - It's so hard to understand what is going to emerge in the future. You fail if you build for where the models are now. You fail if you build for where you think the models will be in a year. Both outcomes are equally wrong. Only way to build is two to three months. - What have you had to most adapt to and adjust in how you operate as a PM in this world? - Being prolific and empirical is way more important than being academic or theoretical. Rather than writing out some long reasoning duct instead, it's like how do I get to something I can try out and test with users as fast as possible? - It feels like not only are we able to be more ambitious, we almost need to be more ambitious, which is not natural for a lot of people. Elevating others' ambitions or reminding them of what's possible here is a huge part of the product management role. - I'm curious what's most surprised you about what it's actually like to work at OpenAI. - I came into the company expecting that there was a treasure trove of OpenAI secret strategy that actually OpenAI is open. - Today my guest is Tara Station. Tara leads product for both codecs and Jet GPT work at OpenAI. I believe this is the fastest growing and arguably most important AI product or knowledge workers today. Tara works alongside Andrew Ambricino, who was a recent podcast guest. He's her end manager. Prior to OpenAI, Tara spent six years at Stripe, where she joined as one of the first five product managers. And for many of those years, she was named one of the top three stripes across the entire organization of Stripe. She also led product at Watershed, was a founder and a teal fellow. And most importantly of all,

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