Fullstack Product Engineer, Knoetic
AI Pod
4-5 days a week in office (Hudson Yards, NY)
People analytics platform for CPOs
Be an early applicant
People analytics platform for CPOs
201-500 employees
Be an early applicant
4-5 days a week in office (Hudson Yards, NY)
201-500 employees
Company mission
To empower the next generation of CPOs and People leaders with the right information at the right time.
Role
Who you are
- 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
- 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
- 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
- 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 the job involves
- 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
Our take
Gender and diversity gaps are a point of great attention in the current landscape of workforces. Hiring managers can gain great insights into their staff demographics through employee diversity statistics, but analyzing all of this information is time-consuming and complex. Knoetic provides software that helps HR workforces to analyze employee data and make better employment decisions.
The platform dashboard provides macro insights for large-scale employment decisions - such as reducing the gender pay gap - in addition to granular data such as individual employee trajectories. The startup is not the only HR data analysis platform of its kind, but has made good strides to consolidate a place for itself in the market.
In the long term, Knoetic wants to develop its predictive analytics engine aimed at helping HR issues like retention and turnover. It continues to enhance both its People Analytics platform and CPOHQ community platform, investing funds from 2025 into innovative platform capabilities of the back of the "AI supercycle".
Steph
Company Specialist at Welcome to the Jungle
Company
Company benefits
- Medical, dental & vision insurance
- 401k
- Hybrid (NYC)
- Generous equity
- Team offsites
- $2,500 learning budget
- $500 WFH budget
- Parental and family leave
Company HQ
SoHo, New York, NY
Leadership
Joseph Quan
(CEO & Co-Founder)Joseph co-founded Twine (now Knoetic) in 2018 and was selected by Melinda Gates as one of Inc. Magazine's 30 Under 30 in the same year. They also founded CPOHQ in 2020, a Chief People Officers community, where they continue to act as CEO.
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