Product Engineer, Workwize

• If you get a kick out of taking a rough idea to a working version by the end of the week, putting it in front of real users, and then making it better, you'll feel at home here
• You have around 1–2+ years of experience and a solid technical foundation. You understand how software systems fit together, how data flows, and why things break. You don't need to be the strongest raw coder in the room, but you can read, reason about, and debug what you and your agents produce
• You've actually built and shipped things. Side projects, internships, a first job, hackathon wins, small tools people use. You can point to them and walk us through the choices you made
• You've worked in a team. You know how to take feedback, review and get reviewed, and move something forward with other people
• You have real product sense for someone early in their career. You can look at a half-formed request and see the job to be done, and you have taste about what makes something good to use
• You use AI and agents as your default way of working, and you keep up as the tools change. You treat a model like a fast but unreliable teammate whose work you always check
• You move fast and take ownership. You'd rather ship something small and learn than plan something big and wait. You're direct, curious, and happy to challenge how things are done. That fits how we work

Desirable

• We're hiring a product engineer, a new kind of engineer early in their career
• Someone who cares more about what ships than about how many lines they wrote to ship it
• You have used AI / AI agents as your default way of working to build and launch things at a pace that surprises people
• You'll own product ideas from the first sketch to something customers actually use
• Turning a problem into a working prototype fast, then hardening the ones that prove their worth into production features
• Using agents and AI tooling to design, build, test, and ship, and knowing exactly where to trust the output and where to check it yourself
• Making product calls, not just taking tickets. You'll decide what's worth building, what to cut, and what "good enough to ship" looks like
• Setting up the evaluation and monitoring that tells you whether what you shipped is actually working once it's live, then iterating
• Working directly with customers, support, and the rest of the product team to find the highest-leverage thing to build next
• This is an early-career role. We care far more about what you've built and how you think than about years on paper