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Klarity

engineering opportunity

Senior AI Product Engineer

Senior AI Product Engineer role at Klarity in San Francisco (Klarity HQ). Focus areas include TypeScript, React, Python, User Research, Prototyping, Product Strategy. Product thinker with engineering depth - You have strong product instincts grounded in user research and customer conversations. Your technical depth (CS fundamentals, React, TypeScript, Python) lets you prototype ideas, evaluate tradeoffs, and ship MVP

San Francisco (Klarity HQ)Full-time

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Klarity

Company Brain for people and agents to work in harmony.

Senior AI Product Engineer

$167K - $220K

San Francisco (Klarity HQ)

Job type

Full-time

Role

Engineering, Full stack

Experience

3+ years

Visa

US citizen/visa only

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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 are looking for an AI Product Engineer who sits at the intersection of product thinking and technical execution. You are a product thinker first, with a strong engineering background that allows you to ship your own ideas. You will be responsible for defining what we build and building it—owning features from customer insight to production deployment.

Who You Are

  • Product thinker with engineering depth - You have strong product instincts grounded in user research and customer conversations. Your technical depth (CS fundamentals, React, TypeScript, Python) lets you prototype ideas, evaluate tradeoffs, and ship MVPs independently. You build to learn fast, not to architect perfect systems.
  • Energized by customer discovery - You genuinely love talking to customers and uncovering their problems. You're comfortable running user interviews, asking tough questions, and building 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 make informed decisions about user flows, information architecture, and interactions independently. You care about spacing, hierarchy, and details.
  • Shipped AI-native features to production - You've shipped AI-native features and understand 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. You make informed product decisions about where to apply cutting-edge AI.
  • 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 define success metrics, talk to users, analyze data, and iterate based on learnings. You pivot quickly when something isn't working and double down when you find traction.
  • 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.

What You'll Do

  • Own product features end-to-end - Talk to customers to understand their problems, define what to build (including UX and interaction patterns), scope the MVP, ship it to production, measure results, and iterate. You're responsible for both the "what" and the "how it feels." You make product and UX decisions with full technical context.
  • Build and ship rapidly - Write code across the full stack to bring product ideas to life. Use AI tools to accelerate development and explore multiple solutions. Ship MVPs to learn fast, then iterate based on real user feedback and data.
  • Bridge AI capabilities with user needs - Partner with engineers and AI researchers to understand what's possible, then translate that into product experiences that solve real customer problems. You identify where cutting-edge AI can create step-change value versus where simpler solutions win.
  • Define product strategy through experimentation - Use rapid prototyping and user testing to inform product direction. You build conviction through shipping and learning, not endless planning. Your technical skills let you validate ideas in production, not just slides.

Benefits

Equity in addition to 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. Klarity provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.

About Klarity

Klarity (YC S18) partners with Fortune 500 companies like ServiceNow, JLL, and Moody’s and cutting-edge companies like OpenAI, DoorDash, Uber, and Stripe to deliver real AI outcomes.

Traditional Transformation playbooks take years, burn millions, and leave your team exhausted. It’s even worse with AI. 95% of pilots never make it past experimentation. Why?

Because time kills transformation. Objectives shift, processes evolve, and momentum dies.

Klarity upgrades the script. Instead of betting everything on a massive "big bang" change, Klarity delivers kAIzen for the digital enterprise: continuous, compounding improvements that everyone participates in. Our Agentic Tiger Team: Analyst, Advisor, and Coach capture how work actually gets done today, uncovers hidden inefficiencies, and guides teams toward better processes in real time.

Transformation isn't dead, it just looks different now. Klarity makes it effortless, always-on, and outcome-driven.

At Klarity, you will thrive if:

Velocity: You’re seeking a culture of rapid iteration and constant change that turns into lasting impact.

Agency: You’re seeking a role where you can take initiative and embody ownership.

Care: You hold yourself to high standards, enjoy close collaboration with others who care deeply and hold themselves to equally high standards.

Energy: You bring drive and optimism to everything you do. You thrive on finding creative solutions to ambiguous problem statements.

Curiosity: You have a deep curiosity about technology. You enjoy tinkering with new AI tools and adding them to your workflow.

Klarity

Founded:

2017

Batch:

S18

Team Size:

128

Status:

Active

Location:

San Francisco

Founders

Andrew Antos

Founder/CEO

Nischal Nadhamuni

CTO

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Which skills does this role require?

TypeScriptReactPythonUser ResearchPrototypingProduct StrategyA/B Testing

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