Klarity AI

Staff Product Designer

San Francisco (Klarity HQ) · Staff+

Sponsorship not specifiedDetected 20 days ago

TypeScriptReactNLPUX ResearchDesign SystemsProduct ManagementResearchMentoring

About the role

We're looking for a Staff Product Designer - a senior individual contributor who acts as a force multiplier across Klarity's product.
Enterprise software has a reputation for being clunky and hard to trust.
Our bet is the opposite: that the most powerful Enterprise AI product can also be the most intuitive.

Own a product area end to end - Take end-to-end ownership of a product area: lead its complex, strategic design problems from problem definition through a real, shipped experience.
Define how design and code work together - Bring your designs into the product (with engineering alongside you), use AI tools (Claude Code, Cursor, Codex, etc.) fluently, and establish the prototyping and shipping practices the team adopts.
Own AI-native UX patterns - Own end-to-end UX for AI-native and agentic workflows - human-in-the-loop oversight, transparency, trust calibration, and the evaluation criteria for what 'good' AI output looks like - contributing to setting the patterns the whole product follows.
Ground decisions in users and outcomes - Drive product discovery and user research to surface the right opportunities, drawing on both qualitative signals (interviews, usability testing) and quantitative data (product analytics, metrics, experiments).
Drive design-system strategy in the AI era - Own the design system itself - its components, tokens, patterns, and governance - so it scales across design and code and lets both people and AI produce consistent, accessible, on-brand UI fast.
A designer who ships and multiplies - Strong design foundation, you build your own work, and you make the designers around you better.
Relocation support to San Francisco Bay Area (where applicable)

AI-native in how you think - AI is already core to how you work and reason about problems.
A systems thinker at product scale - You understand how components, flows, and data combine into one coherent experience across our complex enterprise product, and you see cross-area collisions before they happen.
You may be a good fit if you have - Extensive experience designing complex software, a track record of leading ambiguous, high-impact work end to end, and examples of raising the bar across a team.
We care about your systems thinking, and your track record of shipping - not your degree.

Equity in addition to competitive cash compensation
100% Employer-Paid Medical, Dental & Vision options! https://app.rippling.com/benefits/preview/4zb9x0k4q4bxr1lm
Paid Parental Leave
$500 Annual Learning Fund
$100 Monthly Wellness Fund
Office-related Perks:
Onsite Gym Access: A state-of-the-art fitness center right downstairs, and it's free!

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.

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.
equal opportunity employer.

This listing is sourced directly from Klarity AI's careers page and normalized into a canonical job model.