Product Engineer

About Great Question: Great Question is the all-in-one AI customer research platform for understanding your customers. Our platform enables teams to recruit participants, run research, and share insights – all in one place. Backed by world-class investors and trusted by industry-leading teams like Gusto, Experian, Canva, and Brex, we’re building the future of customer research.

We believe AI is a multiplier for creativity, speed, and scale. Everyone on the team is encouraged to lean into AI, not just to be more efficient, but to push boundaries and unlock new possibilities. Whether you’re writing, designing, coding, or analyzing, we expect you to explore how AI can elevate your craft.

Our culture is built on high trust, high agency, and high emotional intelligence. If you’re looking for a place where your voice matters, where work is fun, and where you're empowered to do your best -

join us in redefining user research

Product Engineer (Full-Stack) — Canada, Remote I’m PJ, CTO at Great Question. My co-founder Ned and I built this company on a simple idea: talking to your customers should be easy. This has only become more relevant as it’s become faster to build, but validating your ideas is still slow and painful.

Research, design, and product teams at ServiceNow, Brex and Canva run their customer research on us, and we raised a $13M Series A led by Inovia late last year after going through YC in 2021.

This year we’ve been doubling down on the agentic future of research. We’re super excited about what we’ve built and now we need help to continue rebuilding core parts of our product, agent-first. I’m hiring our first Product Engineers in Canada to do it with us.

The role Product Engineer here means you take a problem and run with it end to end - from the customer conversation to production to validating whether it actually worked. PM support is light and as-required: a PM helps size the problem, shape the appetite, and call priority, but nobody hands you a spec. From there you're trusted to find the right solution, because you're close to the customer and you have great product sense. That only works with people who are self-directed and genuinely value autonomy and accountability.

You’ll build across the product stack - from Rails APIs and React/TypeScript frontends to video streaming, realtime voice agents, agentic search, product analytics, and everything in between - working directly with the founders, our designer, and the rest of engineering.

What we're looking for How you work.

AI is embedded across your entire workflow - not just used for coding. You might spend a morning digging through interview transcripts and product analytics to understand a problem, build a few throwaway prototypes to see which approach holds up, and then build a technical plan before handing it to a couple of agents to build and QA.

We’re expecting great judgment around all of that: breaking work into sensible pieces, evaluating the output carefully, and most importantly, owning whatever ships, regardless of who typed it.

What you build.

You build highly usable, customer-centric products that people love. You take the extra time to really dig into the data to make sure you understand the problem; and validate that what you’ve built actually solves it. You’ll go the extra mile to deliver something with UI + UX polish, while also thinking in systems to make sure that you’re using the right primitives so you’re delivering less bespoke solutions.

Who you are.

We're a small team of exceptional engineers, and we only hire people who raise the bar.

Strong across the full stack. An expert in both exposing APIs and the frontend it sits upon. We’re a Rails and TypeScript team, but it’s not a hard requirement.

Built and run production systems. Shipping features live and then maintaining them long enough to see what works (and what doesn’t)

Live in an agentic coding harness daily (Claude Code, Codex, Cursor - we don't care which) and have real opinions about your setup.

Ideally shipped LLM-powered features, or least know what it takes to run them in production.

Have shipped things where you decided what to build, and can defend your UX opinions.

Write clearly. We're remote and async-heavy; people who write clearly think (and prompt) clearly.

Are senior (roughly 5+ years with real ownership). Our level grading is tougher than most.

How we build We've rebuilt how we work around AI agents, to ensure our engineers are unblocked to work at AI native speeds:

Main goes to production and approvals aren’t always required. Fast, automated CI is the gate, and we trust people to make the right judgements. Good work goes live as soon as it’s finished.

We invest in making the codebase easy to work in: written runbooks and conventio