Building AI Products When Nobody Knows the Answer
Event PAST

Building AI Products When Nobody Knows the Answer

16 September Online

About this event

What does building AI products actually look like before anyone knows what’s going to work? Join us on September 16 to reveal the answer.

✅ To attend the event, please register on Luma: https://luma.com/rdzvmhud
Please note that only guests with a confirmed Luma registration will be admitted. Due to limited capacity, we won’t be able to accommodate attendees who haven't registered.

Most product stories are told backward. Once a feature succeeds, it’s easy to believe the path was obvious all along.
​In reality, product teams work with competing hypotheses, incomplete evidence, and no clear playbook. The challenge isn’t finding the "right" answer—it’s making good decisions before anyone knows what the right answer is.
​In this talk, we’ll share real stories from building AI features at Superhuman: how we designed experiments, navigated disagreements, interpreted ambiguous data, and made decisions despite uncertainty.
​This isn’t a framework or a polished success story. It’s an honest look at what product development actually feels like while it’s happening, and what we’ve learned about making progress before the story makes sense in hindsight.

🚀 Who is this event for?
​This meetup is designed for experienced product managers, designers, engineers, and engineering leaders interested in how modern AI products are built. Especially relevant for professionals navigating uncertainty, competing opinions, and incomplete information while making product decisions.
​✅ Due to limited event capacity, confirmations will be prioritized for experienced professionals with relevant backgrounds in this topic.

🔈 About the Speakers

  • ​Luisa Gonçalves is a senior product manager working on Superhuman’s next generation of in-line experiences and agents. Her focus is bringing AI to everyone’s cursor. With a background spanning both B2B and B2C products, she works as a bridge across disciplines including PMM, engineering, and enablement and isn’t afraid to wear whatever hat the problem needs.
  • ​Sasha Marynych is an engineering manager at Superhuman, where he leads teams building AI-powered product experiences used by millions of people. Over the past decade, he’s helped ship consumer products across Grammarly and now Superhuman, working at the intersection of engineering, product strategy, and applied AI.

⏱️ ​Agenda:
* ​18:00–18:30: Check-in and networking
* ​18:30–19:30: Talks
* ​19:30–20:30: Mingle with our team

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