Technical Product Manager

Location: San Francisco (Klarity HQ) Job type: Full-time Role: Product Experience: 5+ years Visa: US citizen/visa only

About the role

About Klarity

Series B, $91M raised, 7x growth last year.
Digital Transformation gave rise to a $600B consulting Industry. AI Transformation will be 10x bigger and delivered through agents.
Klarity's AI discovers how work happens across teams and applications, 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.
Customers include OpenAI, Google, DoorDash, Stripe.
Shipped GPT-4 document chat within 12 hours of OpenAI's API launch.
Company values: move fast, reward agency, care deeply about customers, team, mission.

The Role

Looking for an AI Product Engineer excited about product thinking and technical execution.
Early career candidates with strong product instincts and technical skills encouraged.
Work alongside senior engineers and product leaders.
Own meaningful pieces of features from customer insight through production.

Who You Are

Product thinker with engineering foundations: budding product instincts; technical background in CS fundamentals, React, TypeScript, Python; able to prototype ideas and ship MVPs; learning fast toward independence.
Energized by customer discovery: curious about customer problems; comfortable joining customer calls; asking thoughtful questions; developing product conviction through conversations.
Strong UX sensibility and visual taste: not a trained designer but knows good UX; notices flow issues; cares about spacing and hierarchy; forms strong opinions on usability.
Exposure to AI-native product development: experience building projects using LLMs or AI APIs (production/internships/personal); understands tradeoffs in AI products including non-determinism and user expectations for probabilistic systems.
AI-native builder who moves fast: uses AI coding assistants like Cursor, Claude Code, Replit for rapid prototyping and testing ideas.
Own outcomes, not just features: cares about success metrics; talks to users; analyzes data; iterates based on learnings rather than just closing tickets.
Bring energy that elevates others: sees product problems as puzzles solvable by customer insight and experimentation; enthusiasm raises team standards.
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 problems; take ownership from prototyping through shipping; make product and UX decisions with technical context.
Build and ship across the stack: write code in React, TypeScript, Python; use AI-assisted development tools to move fast; ship MVPs, gather feedback, iterate.
Learn to bridge AI and user needs: collaborate with engineers and AI researchers to understand technical possibilities; translate into customer-loved experiences; develop judgment on where AI adds value vs complexity.
Grow through experimentation: build conviction by shipping/learning not theorizing; run experiments; analyze results; develop intuition via rapid iteration in high-trust environment.

Benefits:

Equity plus competitive cash compensation
100% Employer-Paid Medical, Dental & Vision options
Paid Parental Leave
$500 Annual Learning Fund
$100 Monthly Wellness Fund
401k via Betterment
Relocation support to San Francisco Bay Area (where applicable)
Office-related perks

Klarity is an equal opportunity employer.

About Klarity (Company Description)

Klarity partners with Fortune 500 companies like ServiceNow, JLL, Moody’s and cutting-edge companies like OpenAI, DoorDash, Uber, Stripe. They deliver real AI outcomes focusing on continuous improvements ("kAIzen") rather than big-bang changes. Their "Agentic Tiger Team" captures how work gets done today to uncover inefficiencies and guide teams toward better processes in real time. At Klarity you will thrive if you value:

Velocity: culture of rapid iteration & lasting impact
Agency: initiative & ownership
Care: high standards & collaboration
Energy: drive & optimism solving ambiguous problems
Curiosity: deep interest in technology & new AI tools