Technical Product Manager

at Klarity — Company Brain for people and agents to work in harmony.

San Francisco (Klarity HQ)Full-time5+ yearsYC-S18

What the role involves

About Klarity

Tldr on us: Series B, $91M raised, 7x growth last year.

Digital Transformation gave rise to a $600B consulting Industry. AI Transformation will be 10x bigger and will be delivered through agents. We built that.

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. 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.

We move fast, reward agency, and care deeply about our customers, our team, and our mission.

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 through experimentation — Build conviction by shipping and learning, not by theorizing. You'll run experime

About Klarity

Klarity is a Company Brain used by OpenAI, DoorDash, ServiceNow, Salesforce, JLL, McKesson for AI Transformation. Our product maps how work actually gets done, structure it, and reallocate it between people and agents. Discover: Employees log into our web app — nothing to install — share their screen, and work as usual. Klarity maps and anonymizes every task while sending Signals back to highlight what they do well. Structure: Klarity agents consolidate activity across the enterprise into a Company Brain: how work gets done, how decisions are made, how approvals flow, how controls are enforced, when work actually happens. Improve: Against your business objectives, Klarity finds the right opportunities for agents, builds those agents, and redesigns the people, process, and rituals around them.

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