How Arize found product-market fit amidst the AI wave: Aman Khan (Head of Product)
In this episode of Product Unplugged, host Mike Belsito sits down with Aman Khan, Head of Product at Arize, to unpack what it really takes to build AI-native products from the ground up. From zero-to-one experiments to reaching product-market fit, Aman shares the pivotal moments, bets made, and the messy middle that defines modern product development in the generative AI space.Key takeaways
- Product managers must evolve: “I think PRDs are probably dead in the next couple years… PMs will show up with clickable prototypes instead.”
- Don’t build in a vacuum: Customer interviews (even via LinkedIn cold DMs) were critical in shaping Arize’s early product direction.
-Product-market fit isn’t loud: “You know you have something when people just start using it… and telling their friends—without you trying.”
- Dashboards won the day: Arize’s most-used feature wasn’t what they expected—it was basic dashboards.
- Betting on GenAI was non-consensus: Their early call to shift focus to LLM evaluation was considered bold—but it paid off.
- Speed + learning = edge: Early MVPs helped them ship fast, gather feedback, and rapidly iterate—even if the first version didn’t land.
- Founders should ask: “Once you ship something… do you actually know if it’s working the way you expect it to?”
Chapters
00:00 – Intro & Meet Aman Khan
01:45 – Aman’s background: from self-driving cars to GenAI
04:40 – The pivot moment: ChatGPT enters the chat
08:30 – Early bet: Will PhDs use chatbots to build models?
10:00 – Starting from scratch: Zero-to-one product development
13:30 – MVP mistakes & learnings from v1
16:00 – Messaging matters: Selling the value, not just the tech
18:30 – What product-market fit actually feels like
22:00 – Unexpected insight: dashboards became the killer feature
24:00 – Advice for aspiring GenAI builders
27:00 – The last word: do you really understand your product’s impact? Receive SMS online on sms24.me
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