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Klarity
San Francisco, California, United States
Source: Klarity careers · View original posting
From Klarity's posting. “We” and “our” refer to the employer.
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 Within 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 Opportunity
The hardest and most interesting problem in enterprise right now is making AI actually useful inside real, messy workflows. Most enterprises are failing at exactly that step, and it is the single biggest bottleneck standing between them and an AI transformation that works. At Within you’ll own the product surfaces where that gets decided: turning complex AI capabilities into experiences customers love, and doing it fast.
This is a full-stack builder role. You’ll own meaningful product areas end to end, from discovery through delivery, working directly with our CTO
, engineering and design leads, and GTM, with the autonomy to define a problem, prototype the answer yourself, and ship it. You understand what’s under the hood, you write specs that don’t need translation, and you stay in the room through launch. To be clear, we are not hiring an engineer: the bar is expressing an idea in shippable form, not production-grade code.
Core AI product areas with real scope
. Define the problem, prioritize ruthlessly, write a crisp PRD in a day or two, and drive features from concept to production.
The prototype that settles the argument
. Build working prototypes with AI tooling to validate a direction before engineering commits.
Discovery
. Run customer interviews yourself and turn field feedback from Sales and Value Delivery into structured insight rather than anecdotes.
The engineering and design partnership
. Be the PM engineers trust for clear requirements and fast, principled decisions, and reason through real tradeoffs alongside them: should ABAC be applied at the process-index level, and what are the consequences?
Concrete surfaces to own
. Companion, AI Interviewer, Advisor, the agent repository: real, shipping product areas, not hypothetical roadmap items, that are yours to define and drive.
AI-native behavior in the product
. Set user expectations for probabilistic systems, design the feedback loops, and account for model failure modes.
The outcome
. Define success metrics up front, instrument, and close the loop on everything you ship, then present it to the whole team and to customers with clarity and confidence.
Room to grow with the team
. We move fast and stay agile, so what you own today is a floor, not a ceiling: ownership expands and shifts as you prove it out.
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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