Product Engineer (AI / Full-Stack) at Great Question

About Great Question:

Great Question is the all-in-one AI buyer analysis platform for understanding your prospects. Our platform allows groups to recruit contributors, run analysis, and share insights – multi functional place. Backed by world-class buyers and trusted by industry-leading groups like Gusto, Experian, Canva, and Brex, we’re constructing the way forward for buyer analysis.

We imagine AI is a multiplier for creativity, velocity, and scale. Everyone on the crew is inspired to lean into AI, not simply to be extra environment friendly, however to push boundaries and unlock new prospects. Whether you’re writing, designing, coding, or analyzing, we count on you to discover how AI can elevate your craft.

Our tradition is constructed on excessive belief, excessive company, and excessive emotional intelligence. If you’re in search of a spot the place your voice issues, the place work is enjoyable, and the place you are empowered to do your finest – be part of us in redefining consumer analysis 🚀

 

I’m PJ, CTO at Great Question. My co-founder Ned and I constructed this firm on a easy concept: speaking to your prospects needs to be simple. This has solely grow to be extra related because it’s grow to be sooner to construct, however validating your concepts continues to be sluggish and painful.

Research, design, and product groups at ServiceNow, Brex and Canva run their buyer analysis on us, and we raised a $13M Series A led by Inovia late final yr after going by way of YC in 2021.

This yr we’ve been doubling down on the agentic way forward for analysis. We’re tremendous enthusiastic about what we’ve constructed and now we want assist to proceed rebuilding core components of our product, agent-first. I’m hiring our first Product Engineers in Canada to do it with us.

The position

Product Engineer right here means you are taking an issue and run with it finish to finish – from the shopper dialog to manufacturing to validating whether or not it really labored. PM assist is gentle and as-required: a PM helps measurement the issue, form the urge for food, and name precedence, however no one palms you a spec. From there you are trusted to seek out the appropriate answer, since you’re near the shopper and you’ve got nice product sense. That solely works with people who find themselves self-directed and genuinely worth autonomy and accountability.

You’ll construct throughout the product stack – from Rails APIs and React/TypeScript frontends to video streaming, realtime voice brokers, agentic search, product analytics, and every thing in between – working immediately with the founders, our designer, and the remainder of engineering.

What we’re in search of

How you’re employed. AI is embedded throughout your total workflow – not simply used for coding. You may spend a morning digging by way of interview transcripts and product analytics to know an issue, construct a number of throwaway prototypes to see which strategy holds up, after which construct a technical plan earlier than handing it to a few brokers to construct and QA.

We’re anticipating nice judgment round all of that: breaking work into wise items, evaluating the output fastidiously, and most significantly, proudly owning no matter ships, no matter who typed it.

What you construct. You construct extremely usable, customer-centric merchandise that folks love. You take the additional time to essentially dig into the information to be sure to perceive the issue; and validate that what you’ve constructed really solves it. You’ll go the additional mile to ship one thing with UI + UX polish, whereas additionally considering in techniques to just be sure you’re utilizing the appropriate primitives so that you’re delivering much less bespoke options.

Who you might be. We’re a small crew of outstanding engineers, and we solely rent individuals who increase the bar.

• Strong throughout the complete stack. An skilled in each exposing APIs and the frontend it sits upon. We’re a Rails and TypeScript crew, however it’s not a tough requirement.

• Built and run manufacturing techniques. Shipping options dwell after which sustaining them lengthy sufficient to see what works (and what doesn’t!)

• Live in an agentic coding harness day by day (Claude Code, Codex, Cursor – we do not care which) and have actual opinions about your setup.

• Ideally shipped LLM-powered options, or least know what it takes to run them in manufacturing.

• Have shipped issues the place you determined what to construct, and might defend your UX opinions.

• Write clearly. We’re distant and async-heavy; individuals who write clearly assume (and immediate) clearly.

• Are senior (roughly 5+ years with actual possession). Our stage grading is harder than most.

How we construct

We’ve rebuilt how we work round AI brokers, to make sure our engineers are unblocked to work at AI native speeds:

• Main goes to manufacturing and approvals aren’t at all times required. Fast, automated CI is the gate, and we belief individuals to make the appropriate judgements. Good work goes dwell as quickly because it’s completed.

• We put money into making the codebase simple to work in: written runbooks and conventions that assist brokers and new individuals discover their method round rapidly.

• Running a number of brokers in parallel is straightforward, and anticipated. Sandboxes and preview environments are trivial to spawn.

• You’ll at all times have the most recent instruments and fashions, and we’re beneficiant with tokens.

• Light on ceremony, excessive on accountability and communication.

This may not be for everybody, but when it excites you, please apply. We’re particularly eager to fulfill people who find themselves prepared to problem a few of these concepts with their very own hard-won classes from the world.

Your first 90 days

We count on you to hit the bottom working, and quick.

• Week 1: use the harness to be taught the codebase and merge your first PR, ideally on day one. You’re deep within the buyer knowledge, of their Slack channels, and fixing issues.

• First 30 days: ship right into a dwell space. That could be AI Moderator high quality, or working immediately on our world chat expertise. You perceive the product, the rivals, the issues we’re fixing, and have a view on how we are able to win.

• By 60 days: You personal a floor – how the analysis agent communicates findings, rising our MCP floor, or rebuilding a core web page on the brand new design system.

• By 90 days: you are deep on a product space: speaking to its prospects, deciding what’s subsequent, accountable for whether or not it labored. You’re pushing the technique with the founders & Head of Product in new instructions with confidence.

Who should not apply

• Ambiguity and shifting priorities put on you down. Problems arrive right here half-shaped, and the roadmap has modified beneath our toes greater than as soon as this yr. Some individuals discover that energizing; when you do not, you may hate it.

• You wait to be unblocked. We’re a small crew, distant, and with gentle processes… resourcefulness is crucial to the job. We want individuals who unblock themselves.

• You’re not all-in on AI. Dabbling will not reduce it right here. Agents are how we work, not a factor we’re making an attempt out.

• You’d somewhat not speak to prospects. Product engineers right here get on calls, learn transcripts, and sit within the assist queue typically. That closeness is the entire level of the position.

• You solely need the shiny work. Plenty of weeks are polish, reliability, and making one thing 5% much less annoying.

• You need a PM to border the issue and hand you a spec. “Just inform me what to construct and I’ll construct it” is not going to fly right here.

Benefits

• Full-time employment with correct advantages, beneficiant wage in CAD.

• Remote, wherever in Canada. We usually work PST hours, however are versatile.

• 4 weeks PTO

• Annual crew offsite (this yr is San Diego!)

• Brand new Macbook professional

• Enough tokens that you’re going to by no means be left wanting

• Freedom to make use of the most recent applied sciences and distributors

A word on compensation: Our affords sit in an outlined band for the extent, and set by our inside leveling rubric (scope of possession, technical depth, earlier related expertise), not by negotiation. Most affords land close to the midpoint.

Our interview course of

1. Intro name w/ Cofounder/CTO (30 min). Your story, what you’ve got shipped. Our story, the impression you’ll be able to have right here.

2. Quality session (~ 60 min). Do you understand what high quality seems like – each when it comes to product and code.

3. Building session (~90 min). Build one thing actual in our area with your individual AI tooling, the way in which you really work; we stroll by way of the code collectively as you go. We reimburse AI credit.

4. Team + values (~60 min). Meet the individuals you may work with and guarantee all of us see the globe the identical method.

5. Founder dialog (~30 min). Meet the CEO.

6. References, then provide.

No leetcode. AI instruments aren’t simply allowed – they’re anticipated simply as they’re within the job.

How to use

Send a hyperlink to one thing you’ve got constructed that actual individuals are utilizing – and some sentences on why you’re on this position.

Why You’ll Love Working Here:

• A tradition of buyer obsession and curiosity

• Opportunity to form and scale a crucial trade perform

• Remote-first tradition with excessive belief and excessive autonomy

• Annual crew retreats and digital occasions

• Opportunity to work on cutting-edge AI integrations that matter

• Competitive compensation & fairness

• Generous PTO, well being advantages, and studying stipend

_ Equal Opportunity Statement _

Great Question is dedicated to offering a office free from discrimination or harassment. We count on each member of the Great Question neighborhood to do their half to domesticate and preserve an atmosphere the place everybody has the chance to really feel included, and is afforded the respect and dignity they deserve.

Decisions associated to hiring, compensating, coaching, evaluating efficiency, or terminating are made pretty, and we offer equal employment alternatives to all certified candidates and workers. We study our unconscious biases and take accountability for at all times striving to create an inclusive atmosphere that makes each worker and candidate really feel welcome.