Knoetic

AI Pod: Fullstack Product Engineer

New York City · Exec

Sponsorship not specifiedDetected 197 days ago

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About the role

✨ TLDR ✨ Join Knoetic ($50MM+ raised from Tier 1 VCs like Accel + Menlo + 100s of angels) as we launch an incredible series of new AI products.
You'll join a newly-formed, high-intensity AI product pod.
We're backed by $50MM from Accel, EQT, Menlo, and 100s of legendary angels (Adam Grant, Shreyas Doshi, etc).

Own features end-to-end, from deeply understanding the customer problem to shipping the feature and driving its usage & adoption.

You must be an AI-native engineer who's customer-centric.
You have over-the-top ownership mindset.
You are an AI-native engineer who's far more productive because of AI.
You can trade notes with us on prompting strategies, context management, and when to trust vs. verify AI output.
You're 2-3x more productive because of how you use AI, and you have concrete proof points to back it up.
You can disagree and then commit… happily.
You leverage AI to catch bugs and suggest improvements, but you know where human judgment is essential.

This means every spot on this ship is sacred, and we will have an intensely high bar on recruiting (no hire > mediocre hire).
AI-augmented engineering is the new baseline.
Engineers who aren't leveraging AI tools are already falling behind.
We expect everyone to be constantly improving how they use AI to ship faster and better.
Quality is speed.
Shipping fast doesn't mean shipping broken.
Ownership is non-negotiable.
You don't throw problems over the wall.

This listing is sourced directly from Knoetic's careers page and normalized into a canonical job model.