Growth Engineer

What You'll Actually Do

• Find where users stall, from install to first win to team-wide use, and fix it yourself.

• Run experiments: a clear hypothesis, shipped behind a flag, a result you act on. You design measurement with our Growth Data Scientist.

• Own activation for Viktor in Slack and Viktor projects: first run, first task, time-to-value.

• Make features discoverable and move retention through in-product prompts, lifecycle nudges and better defaults.

• Own land-and-expand loops: invites, sharing, referrals.

• Instrument everything you ship so every change has a number behind it.

• Whatever needs building. Small team, large surface.

Why This Role Is Different

• No layers. You work directly with both founders, design, and growth, and decisions get made in the room, not in a Linear ticket.

• You own the surface customers actually see. Every win shows up in activation and retention the next week.

• We use Viktor to build Viktor. You ship the product using the product, every day.

• Real ownership: a surface of the company that customers depend on. When it wins, everyone knows whose work it was.

Who You Are

• Customer-first, and you get excited about what data and user feedback reveal about how to grow usage. Then you have the product intuition to ship the fix.

• You think in metrics. You can define an activated user from the data, take a metric apart, and say which funnel stage is leaking and why.

• You've moved activation, retention or conversion, and you can show the before-and-after.

• You run experiments: A/B tests with a clear hypothesis and a result you act on.

• You've shipped a real product that real people use, and you owned it end to end. A product with real users is the point, not a side project that never left localhost.

• Real engineering strength. You ship your own PRs, including ones that touch the database and user data, without anyone else gating them. Depth in your own area matters more than full-stack breadth.

• Detail oriented. Empty states, microcopy, edge cases: you notice, and you won't ship until it's right.

• 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.

Even Better If

• You've founded something or been an early-stage builder.

• You've shipped something with real traction: users, revenue, downloads, a product people know.

• You've built growth loops (referrals, invites, lifecycle) in a PLG or B2B product.

• You've built with the AI tooling we live in and have opinions about it.

Compensation

Top-of-the-market salary and the kind of ownership that only exists at this stage.

The best work happens when you're in the room. This role is Munich or Warsaw, or remote in Europe, and we bring the whole team together in person a few times a year.