
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. We believe we can be the main app that most knowledge workers use for everything.
Our users are building real automations with Tasklet — connecting dozens of services, writing complex workflows, and trusting an AI agent with critical work. When something breaks or gets confusing, the quality of help they get determines whether they go deeper or give up. But we don’t want to solve this just by throwing people at support tickets. We want to solve it by making everything work better — through better product, better self-serve resources, smarter automation, and better internal tooling.
We’re looking for someone to become a core owner of our customer-facing work: handle inbound support, talk live with users, proactively help high-value customers get more out of Tasklet, and relentlessly automate and improve the system so your own workload keeps going down while our customers get more successful.
This is a great role for someone earlier in their career — roughly 1–5 years of experience — who is unusually sharp, technical, high-agency, and excited to grow into a broad customer-facing role at an AI startup.
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.