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Open nowFirst seen 35 hours ago

Product Engineer, Core

Key10 open roles

Where
Palo Alto, California, United States
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Your applicationOpen nowProduct Engineer, CoreKey · Palo Alto, California, United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Key's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 35 hours ago

The posting

About Key AI

Key AI is an AI-native professional intelligence platform. Think warm introductions, elite communities, and an AI agent (Kai) that actually works — for the kind of people who've built, led, and invested in the companies you've heard of. We're growing fast, shipping constantly, and building infrastructure that scales.

What you'll actually do

  • Own features end-to-end — from product intuition through design, implementation, and the metrics that prove it worked
  • Sit with users, understand their problems, and translate that directly into what you build
  • Debug infra at 2AM when it matters, then walk a user through a new feature the next morning
  • Work directly with Kush and Chris (the co-founders) on the hardest, most important problems
  • Raise the bar for the team — mentor, review, and help the people around you win

Who we're looking for

  • You've shipped products at scale inside a startup, not just inside a big company
  • You think in systems but obsess over the details that make a product feel great
  • You're as comfortable talking to users as you are debugging infrastructure
  • You wear multiple hats not because you have to, but because you want to
  • You have an eye for what great software feels like, not just what it does
  • You want to unlock the potential of the people around you

We're full-stack, AI-native, and moving fast. You should be fluent across the stack and have opinions about how to build things well — we care more about taste and track record than any specific language or framework.

This is not a ticket-taker role. No PM is handing you specs. You'll figure out what to build, build it well, and own the outcome after it ships.

Early team, meaningful equity

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  1. A CV for this posting

    Written against Key's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Key's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Key's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

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  6. The interview in your calendar

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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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Why it works

3×

more interviews than doing it yourself with ChatGPT.

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  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

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The numbers game

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