Klarity Logo

Klarity

Technical Product Manager

Posted 2 Days Ago
In-Office
San Francisco, CA, USA
150K-205K Annually
Entry level
In-Office
San Francisco, CA, USA
150K-205K Annually
Entry level
The Technical Product Manager will develop AI-driven solutions, conduct customer discovery, prototype in React, TypeScript, and Python, and iterate on features based on user feedback.
The summary above was generated by AI

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 experiments, analyze results, and develop product intuition through rapid iteration in a high-trust environment.

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:

    • BART or Caltrain to the office?: Contribute pre-tax funds to a Parking & Transit account, and you will never be taxed for it!

    • Lunchtime, Leveled Up: Enjoy curated local eats delivered to the office daily to enjoy with an entertaining team

    • Snack Central: Drinks and snacks for every craving - from healthy bites to Klarity team favorites.

    • Onsite Gym Access: A state-of-the-art fitness center right downstairs, and it’s free!

    • Safe & Secure Bike Room: Commute in and safely store your bike.

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.

Similar Jobs

5 Hours Ago
Hybrid
San Francisco, CA, USA
216K-240K Annually
Mid level
216K-240K Annually
Mid level
Artificial Intelligence • Machine Learning • Generative AI
The Technical Product Manager will drive GTM systems initiatives, collaborate with cross-functional teams, and operationalize AI-native workflows for customer acquisition.
Top Skills: APIsData EnrichmentEnterprise SaasEvent-Driven ArchitecturesMarketing AutomationSalesforceSoc2Sox
Yesterday
In-Office
59K-83K Annually
Entry level
59K-83K Annually
Entry level
Healthtech • Pharmaceutical
The Associate Technical Product Manager supports AI product development by translating business needs into requirements, managing backlogs, coordinating projects, and collaborating with cross-functional teams within IT.
Top Skills: AgileAi SystemsAWSCloud PlatformsJIRAMachine LearningSoftware Engineering
Yesterday
In-Office or Remote
6 Locations
160K-200K Annually
Senior level
160K-200K Annually
Senior level
Artificial Intelligence • Automotive • Insurance • Software
The Senior Technical Product Manager will lead the development of an AI platform, integrate services with ChatGPT, define AI best practices, and enhance customer experiences through experimentation.
Top Skills: AIAPIsSQL

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account