AI Product Engineer (P+E)

AI Product Engineer (P+E) About Klarity Klarity (YC S18) is the Enterprise Instinct platform. TL;DR: Series B, $91M raised, 7x growth last year. Enterprises still rely on consultants to figure out how they operate – months of work, millions spent, and outdated before the ink dries. We built a better way. Our AI discovers how work actually happens across every team and application, Structures it into a living Context Graph, and Improves it continuously. ServiceNow mapped 900+ processes in 9 days. DoorDash captured 3,800+ finance operations in 14 weeks, replacing a 2-year engagement. That's not a project. That's compounding intelligence. OpenAI, Google, DoorDash, and Stripe use Klarity to transform how they transform. We shipped GPT-4 document chat within 12 hours of OpenAI's API launch. Speed and quality aren't a tradeoff here – they're the standard. THE ROLE We're looking for an AI Product Engineer who's excited to work at the intersection of product thinking and technical execution. You may be early in your career, but you already have strong instincts for what makes a great product — and the technical chops to start building it. You'll work alongside senior engineers and product leaders, owning meaningful pieces of features from customer insight through production. WHO YOU ARE - Product thinker with engineering foundations — You have budding product instincts and a genuine interest in understanding users. Your technical background (CS fundamentals, React, TypeScript, Python) lets you prototype ideas and ship MVPs — you're building toward independence and learning fast along the way. - Energized by customer discovery — You're genuinely curious about customer problems and eager to get in front of users. You're comfortable joining customer calls, asking thoughtful questions, and developing product conviction through real conversations. - Strong UX sensibility and visual taste — You're not a trained designer, but you know what good UX looks like. You notice when flows feel off, care about spacing and hierarchy, and form strong opinions about how things should work. - Exposure to AI-native product development — You've built projects using LLMs or AI APIs — whether in production, internships, or personal work. You're developing intuition for the product tradeoffs: how to scope around non-determinism, when AI adds genuine value versus complexity, and how to set user expectations for probabilistic systems. - AI-native builder who moves fast — You use AI coding assistants like Cursor, Claude Code, and Replit to prototype rapidly and test product directions with real code. AI lets you validate 10 ideas in the time it used to take to build one. - Own outcomes, not just features — You care about whether what you shipped actually worked successfully. You want to define success metrics, talk to users, analyze data, and iterate based on learnings — not just close tickets. - Bring energy that elevates others — You see hard product problems as puzzles to solve through customer insight and rapid experimentation. Your enthusiasm for building products people love raises the bar for the entire team. - Experience: 0-2 years in product management or product engineering roles WHAT YOU'LL DO - Own meaningful pieces of product features — Work with senior team members to understand customer problems, then take ownership of scoped parts of the solution — from prototyping through shipping. You'll learn to make product and UX decisions with real technical context. - Build and ship across the stack — Write code in React, TypeScript, and Python to bring ideas to life. Use AI-assisted development tools to move fast. Ship MVPs, gather feedback, and iterate. - Learn to bridge AI and user needs — Work alongside engineers and AI researchers to understand what's technically possible, then help translate that into experiences customers love. You'll develop judgment about where AI creates real value versus unnecessary complexity. - Grow thro ... (truncated, view full listing at source)