
The cloud agent operating system for knowledge work
IMPORTANT: the best way to apply is by submitting a video application by following the instructions on our jobs page here.
At Tasklet, we’re building the cloud agent OS for work. Our product is redefining how knowledge workers interact with software — instead of switching between dozens of apps, our users work through a single AI agent that orchestrates everything. Our UI is minimal, chat-centric, and deceptively simple. When more UI is required, it is generated with AI on the fly. We believe we can be the main app that most knowledge workers use for everything.
We’re looking for a staff-level design engineer to own the entire design surface of Tasklet. You’ll be responsible for ensuring our product feels excellent, including keeping the UX simple & intuitive and making sure we get the details right. The ideal candidate is an AI-pilled IC who can do both the design & the bulk of the implementation work themselves.
This is a foundational leadership role with generous equity — we need someone truly world-class.
Read more about our company and apply via video by following the directions on our careers page.
The whole process can move very quickly.
Tasklet is building the cloud agent OS for knowledge work. Instead of switching between dozens of SaaS apps, our users connect one AI agent to all their tools and let it handle their work — pulling data, taking actions, generating UIs on the fly, and running 24/7 in the cloud.
We've raised $29.5M from Union Square Ventures, Lightspeed, Y Combinator, Jeff Dean, and Patrick & John Collison. Our team of 9 in San Francisco is led by Andrew Lee (founded Firebase, sold to Google) and Jonny Dimond, and includes engineers from Google, Amazon, and OpenAI.
We're growing fast, shipping constantly, and competing directly with the AI labs to build the agent platform that replaces legacy application software. Nearly every line of code here is written with AI — we're an engineer-driven team that believes deeply in giving models more agency and using them to multiply what a small team can do.