Currently Hiring · Staff Engineer, Product

We recruit engineers through demonstrated work.

Build something. Submit it publicly.
We rank it against a published rubric.

What we're doing

We're building a category of business applications on the SUPERWISE platform with a small, sharp team. The work is consequential, the customers are real, and the timeline is now.

How we find the team

We recruit through demonstrated work. The exercise below is our standing invitation. When a role opens, top scorers whose experience matches move into our interview process. Other top scorers go on a list we come back to.

What we believe

The quality and velocity gap between engineers who've fully embraced agentic AI as their primary engineering substrate and engineers who haven't is the largest gap in software engineering right now. We're recruiting from the population that's already crossed it.

If you're driving Claude or an equivalent toolset every day, judging its output, directing its work, shipping production code at a velocity your employer can't keep up with, this page is for you. If you're using AI as autocomplete, it's not.

Staff engineer, product

Currently Hiring

We're recruiting a Staff Engineer to lead the build of our AI chatbot solution and the broader category of business applications it opens up. Reports directly to John Leschorn, CPO.

Experience

10+ years

Location

Indiana, Tennessee or surrounding states preferred

How to get hired

The exercise

Build a Kanban application using Claude Code (preferred) or another agentic AI toolset.

What you submit

Public GitHub Repository

Containing your code. Public only, with no zips, GitLab, Drive, or email.

AI session logs

Transcripts of how you built it, included in the repo.

Your CV

In the repo or linked from the README.

May 15 – June 15, 2026

Current submission window

We review all submissions after the window closes. Submissions received after the window closes are not reviewed.

When this window closes, we'll likely open another. If we have an active window posted above, the exercise is live. If not, you can still submit. We'll review when the next window opens.

What we're looking for

The categories to be scored

The full rubric is published in the starter repo. Weights are private.
The rubric is strict.

Leverage

How effectively you drive the AI to produce quality output.

Depth and complexity

Substance beyond surface CRUD.

Substrate-to-surface thinking

Reasoning across the full stack.

Security instinct

Catching vulnerabilities the prompt didn't ask about.

Creative nuance

Useful additions that demonstrate judgment.

What happens after

After the window closes, we review every submission and rank by rubric score.

Top 20 by score

$25 gift card
Feedback directly from John Leschorn, CPO, to thank you for the work.

CV matches role

Move into the interview process for that role
Each interview stage is a required gate

Submissions

We may ask permission to keep your submission on file for future consideration

A note on transparency

Submissions that don't pass the rubric receive no further communication. We're being explicit about that because the exercise attracts a wide range of candidates and we want to be honest about how we operate. The faster the wrong candidates self-select out, the better the experience for everyone.

Don't

Don't email us with questions about the rubric, the exercise, or the role before you submit. The submission is the conversation. After you've passed the rubric, we'll have plenty to talk about.

Don't submit early "draft" versions for feedback. We review once, after the window closes.

Don't ask for extensions to the submission window. There aren't any.

Ready to submit?

When your work is ready, submit your GitHub repo URL through our submission form. Public GitHub only.

Open submission form

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