Hire the engineers that Shopify and Ramp would hire.
We asked one question obsessively: "how do you find engineers who build secure, scalable products users keep coming back to?"the answer is the IKE (The Ideal Klysera Engineer).
The best engineering teams in the world kept this standard to themselves.
We're opening the black box.
Palantir calls them forward deployed engineers. Stripe and Shopify calls them product engineers. Some call them full-stack builders. The names are different but the archetype is identical — an engineer who understands intent deeply enough to operate without instruction, who treats your product like they have equity in it, and who defines done not as code merged but as the problem solved.
The best engineering organisations have spent years developing internal ways to find, calibrate, and support this kind of engineer. They have frameworks, signals, and institutional knowledge built up over decades
Smaller teams don't have any of that. They're making the same hiring decisions with almost no signal to rely on. That's the gap Klysera was built to close.
We spent years studying what actually predicts whether an engineer will build products users come back to. This goes beyond what looks good on a CV, or a coding test. We focus on how they take ownership under uncertainty, how fast they ramp up in a new environment, whether they think about users before they think about tickets, whether they treat AI as an accelerator or a crutch.
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Five things that separate the engineers who build great products.
Every Klysera engineer is evaluated against these five competencies before you ever see their name.
End-to-End Ownership
An engineer with genuine end-to-end ownership follows the work from the moment they understand the problem to the moment they verify it solved what it was supposed to solve. We probe for how they define done, how they respond when something they shipped fails, and whether their instinct is to understand the user problem or just close the ticket.
Engineering Fundamentals
An engineer without deep fundamentals can ship fast — but they can't ship safely, and can't fix what they didn't understand when they built it. We assess their ability to reason about systems under real constraints with production-grade decision making.
AI-Native Fluency
Every engineer uses AI tools now. The standard is what they do with it. We assess whether they treat AI output as a starting point requiring rigorous evaluation — or a shortcut to be accepted — and how they maintain system-level mental models alongside AI-assisted generation.
Learning Velocity
Engineers don't differ as much by what they know today as by how quickly they become effective in new environments. Learning velocity is the competency that compounds. We look for evidence of rapid effective ramp across multiple environments — and whether they've demonstrably raised the standard of teams they've been part of.
Product Thinking & Craft
The gap between a product that works and a product users love is almost never technical. We probe for how they evaluate whether a feature was worth building, and whether they treat performance, reliability, and interface quality as their responsibility or someone else's.
A five-stage calibration. Every IKE engineer assembled in front of you.
Every Klysera engineer is evaluated against these five competencies before you ever see their name.
Post-placement accountability, engineered into every engagement.
We only win when your product does.
Before your engineer writes a single line of code, we sit down together and define what success looks like in specific, measurable benchmarks and whatever matters most to your product at its specific stage.
Those benchmarks go into what we call the Impact Agreement — a contractual commitment that ties our fee directly to the outcomes your engineer delivers. If the benchmarks are hit, you pay. If they aren't, our fee is zero.
The reason we can offer this model is simple. We're confident enough in how we find, vet, and enable engineers to stake our commercial success on theirs.
The right engineer for your product exists. The IKE framework is how we find them.
You've seen the standard. You've seen the process. You've seen what changes when an engineer is assessed this way rather than just hired.
The next step is simple: tell us what you're building and we'll show you exactly what an IKE profile looks like for your specific product moment.
