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HomeCompaniesKlarityAI Product Engineer (P+E)

AI Product Engineer (P+E)

Klarity · San Francisco (Klarity HQ) · On Site · Active · Ashby

Job facts

FieldValue
CompanyKlarity
TitleAI Product Engineer (P+E)
Normalized title-
Department / teamProduct / Product
LocationSan Francisco, CA, United States
Work modelOn Site
Employment typeFull Time
Salary-
Statusactive
ATS providerAshby
Posted / first seen / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Klarity.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in Product.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyKlarity
Source8b92cbbe-7a14-4871-b64a-aa1f6dc3d950
ATS providerAshby

Description

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.

Full job record

Job ID12ea52e05715c6e79bf14ef3ebd6da9a68073ca4
Org ID357d150f-c6dd-4b48-bb45-387b0f68450f
Source ID8b92cbbe-7a14-4871-b64a-aa1f6dc3d950
Board ID8b92cbbe-7a14-4871-b64a-aa1f6dc3d950
Providerashby
Provider Job Keybed99d59-02f7-46ea-9a81-5b669cea9b49
TitleAI Product Engineer (P+E)
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco (Klarity HQ)
DepartmentProduct
TeamProduct
Employment Typefull_time
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionCA
CitySan Francisco
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/klarity-ai/bed99d59-02f7-46ea-9a81-5b669cea9b49
Apply URLhttps://jobs.ashbyhq.com/klarity-ai/bed99d59-02f7-46ea-9a81-5b669cea9b49/application
First Seen At2026-05-29 06:22:20Z
Last Seen At2026-06-06 09:21:20Z
Last Checked At2026-06-06 09:21:20Z
Last Changed At2026-05-29 06:22:20Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=klarity-ai/date=2026-06-06/2026-06-06T09-21-07-227Z-c6b63bc96c465c89a7f83850c8d1dca1361bef3d4d2523661390b22d2c59d993.json
Event Fields
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Parsed Structured
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  "remote_policy": null,
  "salary_period": null,
  "workplace_type": "on_site",
  "salary_currency": null
}
Extensions
{}
Native Structured
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  "team": "Product",
  "title": "AI Product Engineer (P+E)",
  "jobUrl": "https://jobs.ashbyhq.com/klarity-ai/bed99d59-02f7-46ea-9a81-5b669cea9b49",
  "address": null,
  "applyUrl": "https://jobs.ashbyhq.com/klarity-ai/bed99d59-02f7-46ea-9a81-5b669cea9b49/application",
  "isListed": true,
  "isRemote": false,
  "location": "San Francisco (Klarity HQ)",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "Product",
  "publishedAt": null,
  "workplaceType": "OnSite",
  "employmentType": "FullTime",
  "secondaryLocations": []
}
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