AI Pod: Fullstack Product Engineer
✨ TLDR ✨
Join Knoetic ($50MM+ raised from Tier 1 VCs like Accel + Menlo + 100s of angels) as we launch an incredible series of new AI products.
You’ll join a newly-formed, high-intensity AI product pod. You’re not joining a well-oiled machine; rather, you’re going to help us build the machine in this small, elite AI pod.
You'll own features end-to-end as an IC, ship at incredible velocity, and have direct impact on a product used by 1000s of C-level executives from Box, Brex, Notion, OpenAI, Figma, and more.
You must be an AI-native engineer who’s customer-centric. That means (1) you’re easily a top 10% user of tools like Cursor, Claude Code, Codex, and more, and (2) you love creating delightful moments for our customers, whatever it takes.
❤️ Knoetic AI + our Chief People Officer network ❤️
Our mission is to build the “Second Brain” for every Chief People Officer & their HR team. We're backed by $50MM from Accel, EQT, Menlo, and 100s of legendary angels (Adam Grant, Shreyas Doshi, etc).
We're a beautiful blend of consumer + enterprise product that serves 1000s of C-level execs from companies like Box, Figma, dbt labs, Lyft, Notion, and OpenAI.
You can learn more about our “right brain” (CPOHQ) and ”left brain” (AI & People Analytics) here.
✨ Overview ✨
We're looking for a Fullstack Product Engineer who wants to:
Own features end-to-end, from deeply understanding the customer problem to shipping the feature and driving its usage & adoption.
Work across the entire stack (React, TypeScript, NestJS, PostgreSQL).
Ship fast & high quality; you believe speed vs. quality is a false choice, and in fact you can increase both in lockstep.
Work directly with customers: from hopping on calls, to debugging their problems, and then iterating based on real feedback
Craft positive-sum engineering practices that increase velocity.
Become one of the first 3 engineers in our AI & Analytics pod
This is only an in-person role (4-5 days/week) in NYC. We have a beautiful office in a 1,000+ ft skyscraper in the heart of Hudson Yards, New York.
✨ About you & the role ✨
You have over-the-top ownership mindset. When something is your responsibility, it's truly yours. You understand it deeply, you're accountable for it in production, and you don't wait to be told what to do next. When something breaks, you're already investigating far before anyone asks.
You enjoy working with customers. Beyond just writing code, you’re deeply energized by understanding who you're building for. You love customer calls, and seeing how people actually buy & use what you build.
You are an AI-native engineer who’s far more productive because of AI. You live in Cursor, Claude Code, or similar tools. You can trade notes with us on prompting strategies, context management, and when to trust vs. verify AI output. You're 2-3x more productive because of how you use AI, and you have concrete proof points to back it up.
You’re driven to make things better, not just point at what's broken. You notice problems, but in a productive, positive way that includes "here's how I'd fix it." You'd rather propose an imperfect solution than complain or wait for someone else.
You can disagree and then commit… happily. You push back when you see a better way. But once the decision is made, you execute like it was your idea. No sulking, no relitigating, no behind-the-back undermining. You’re a team player in the end & you embrace the decision as if it were your own (because one day, you’ll be on the other side of the table too!)
You believe quality enables speed. You've seen what happens when teams skip tests and cut corners. The slowdown comes later, and it's worse. You write tests not because someone told you to, but because you want to deploy with confidence, and believe in quality & craft.
You communicate before it's a problem. You surface blockers early. You ask for help before you've wasted a day stuck. You don't surprise people with missed deadlines, because of your proactivity.
You review code like it matters. You leverage AI to catch bugs and suggest improvements, but you know where human judgment is essential. You don't rubber-stamp PRs because you're busy. Again… because craft & quality matters.
✨ What you'll do ✨
Ship features end-to-end from problem understanding to production, across frontend and backend
Talk to customers regularly: join calls, gather feedback, and translate their problems into solutions
Write code that lasts with tests, edge case handling, and clear documentation
Review code thoughtfully and hold the bar on quality for the team
Debug production issues and make sure they don't happen again
Help cultivate our engineering culture as one of the founding engineers of this pod
✨ Candidate Criteria ✨
You have 2-6 years building and shipping product. You've worked on real products with real users. You've felt the pain of production issues and learned from them.
You're strong across the stack. You can build a React component, write a backend service, and debug a database query. You might be stronger in one area, but you're not helpless in any of them.
You genuinely enjoy customer interaction. You've been on customer calls before and found them valuable, not painful. You understand that great products come from deeply understanding user problems.
Strong SQL knowledge is a plus. We build querying engines on top of Snowflake data—if you're comfortable writing and optimizing complex queries, that's a big advantage.
You're AI-native and AI-augmented. Cursor, Claude Code, AI-assisted reviews—these have fundamentally changed how you work. You're constantly experimenting with new AI tools and have opinions on what's worth adopting. If you're still coding the way you did in 2022, this isn't the right fit.
You have an owner's mindset. Self-driven, resourceful, ready to build and be in the trenches. You don't need to be managed; you need to be pointed at problems.
You've worked in high-intensity environments. Startups, high-growth teams, or any context where speed and quality both mattered.
You're a positive influence on every team you've been on. Low ego, high standards
✨ Tech Stack ✨
Frontend: React, TypeScript, Vite
Backend: NestJS, TypeScript
Data: PostgreSQL, Redis
Infrastructure: AWS, GitHub Actions
Observability: Sentry, New Relic
AI Dev Tools: Cursor, Claude Code (or similar—we want to learn from you too)
Nice to have: SQL proficiency and experience working with data warehouses (we use Snowflake for analytics).
We don't expect you to know everything. We care more about your ability to learn and adapt than your familiarity with our exact stack.
✨ WHAT WE BELIEVE ✨
In this era of AI, we can (and will) build a billion-dollar company with a few dozen employees. This means every spot on this ship is sacred, and we will have an intensely high bar on recruiting (no hire > mediocre hire).
AI-augmented engineering is the new baseline. Engineers who aren't leveraging AI tools are already falling behind. We expect everyone to be constantly improving how they use AI to ship faster and better.
Great products come from talking to customers. We're not building in a vacuum. Engineers here talk to customers, understand their problems deeply, and build solutions that actually matter.
Quality is speed. Shipping fast doesn't mean shipping broken. Code without tests, missing error handling, or unclear logic creates drag that compounds over time. We move fast by building things that don't need constant fixing.
Ownership is non-negotiable. You own your work end-to-end. You don't throw problems over the wall. You don't wait to be told what to do.
Make it better, don't just point at it. Identifying problems is easy. We value people who follow up with solutions.
Disagree and commit. Debate is healthy. But once the decision is made, execute like it was your idea.
The bar is always rising. In today's rapidly evolving world, what's good today isn't good enough tomorrow.