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Product Engineer

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MidFull-time
#378998·Dodano dziś·0
Źródło: jobs.techtree.dev
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Tech Stack / Keywords

TypeScriptReactPythonAI/ML

Firma i stanowisko

We're building an AI-powered work assistant that lives where work already happens — in Slack and Teams, with a web app on the way. People interact with it like a teammate: it writes code, runs it, and ships real work back. We're one of the fastest-growing companies in the world right now, and this is a rare moment to own something real.

Wymagania

  • You've shipped a real product that real people use, owned end to end — not a side project that never left localhost.
  • Range: React component to API to deployment script in an afternoon. The frontend/backend divide was never useful to you.
  • Product instinct: you use the product, talk to the people who rely on it, and have UX opinions your work shows — without someone handing you a design.
  • You talk to users and own outcomes, not tickets. You shape the problem, cut scope when you should, and ship the thing that moves the metric.
  • Speed, with the bar up — you ship today, not Thursday, and it's still good.
  • Agentic coding is your daily workflow — you build with AI by default and you're faster because of it.
  • Genuine drive — you build things because you can't not.

Nice to have:

  • Founded something or been an early-stage builder.
  • Design sensibility — you can make it look and feel right, not just function.
  • Shipped something with real traction: users, revenue, downloads.
  • Moved a real metric (activation, retention, conversion) with before-and-after to show it.
  • Built with modern AI tooling and have opinions about it.

Obowiązki

  • Ship user-facing product end to end — frontend to backend, idea to production, across Slack, Teams, and the incoming web app.
  • Own onboarding and time-to-value: from install to first real win in minutes.
  • Own what happens after you ship — find where users stall, fix it yourself, and move activation and retention.
  • Design how people stay in control: propose-and-approve flows that stop bad actions without burying users in confirmations; surfaces that make agent actions legible and easy to steer.
  • Talk to users and shape the problem — you don't wait for a spec, you find the rough edge, decide what to build, and build it.
  • Polish like it matters — the details that separate a tool people tolerate from one they recommend.
  • Whatever needs building. Small team, large surface.

Benefity

  • Top-of-market salary.
  • Meaningful equity at an early stage.
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