Product Engineer

🏢 Viktor · 📍 Warsaw or Munich onsite · ⏰ FullTime

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Position Summary & Responsibilities

The Short Version

Half product manager, half engineer. You imagine how people work with an AI employee, and how they'll manage a whole team of them, then decide what to build and build it yourself. You've shipped real products end to end, you have taste, and you sweat the details.

The Hard Part

Viktor lives where work already happens, in Slack and Teams, with web, desktop, and mobile apps on the way. People talk to him like a colleague, and the whole product is a conversation with an AI employee who writes code, runs it, and ships real work back.

We want people to hand Viktor the work they'd give a great hire, and earning that is as hard as making the thing work at all. Viktor acts on his own and sometimes gets it wrong, and your job is to make people trust him with their real work anyway.

Nobody has settled what the UX of working with AI employees looks like. You'll have to imagine it: how a person delegates, steers, corrects, and trusts an AI employee, and how they run a whole team of them.

What You'll Actually Do

Imagine and define the UX of managing AI employees: delegation, steering, trust, cost, oversight. These patterns don't exist yet; you set them, then build them.
Ship user-facing product end to end. Frontend to backend, idea to production, in Slack, Teams, and the web, desktop, and mobile apps as they land. The bar is something real users touch on day one, not a prototype.
Own onboarding and time-to-value. From install to first real win in minutes, because the alternative is churn.
Own what happens after you ship. Find where users stall, fix it yourself, and move activation and retention.
Own land-and-expand: how Viktor spreads from the first user to their team and across the company.
Do the PM half yourself. Talk to users, shape the problem, decide what to build, write the spec when it helps and skip it when it doesn't.
Poli

🎯 Candidate Preparation Guide For Viktor Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Evaluating raw problem-solving speed and extreme ownership in high-ambiguity engineering environments.

📋 Preparation Priorities (Key Areas to Clarify):

1. Blaming past teammates or tooling for project delays instead of owning the outcome
2. Waiting for explicit permission or hand-holding during technical scenarios
3. Lack of deep technical depth beyond high-level framework knowledge

✨ Recommended Role Alignment Hook:

I build resilient systems by obsessing over edge cases before writing the first line of code.

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