Job Description
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 agents run code, browse the web, connect to thousands of services, and execute complex multi-step workflows — all in real time. The infrastructure underneath needs to be fast, reliable, and able to scale dramatically. We believe we can be the main app that most knowledge workers use for everything.
We’re looking for a staff-level infrastructure engineer to own the entire foundation Tasklet runs on. This is a foundational leadership role with very generous equity — we need someone truly world-class.
Compensation
- $280k → $380k salary
- 0.40% → 0.80% equity
- Competitive benefits (medical, dental, vision, 401k, 4 weeks PTO, free lunch, etc)
Responsibilities
- Own our Kubernetes-based serving infrastructure, including APIs, content serving, job queues, etc and make it scale to millions of concurrent agent sessions
- Design our observability and alerting stack — when something goes wrong, we need to know immediately and fix it fast
- Own disaster recovery and ensure we can survive anything without losing user data or trust
- Drive cost optimization relentlessly — we run expensive GPU and compute workloads, and every dollar matters at a startup
Our ideal candidate
- Very strong CS fundamentals & deep experience operating production infrastructure at scale
- Exceptional, AI-native programming skills using an ultra-modern stack
- You’re AGI-pilled & deep into relevant AI tech
- You’ve built and run Kubernetes clusters that handle serious traffic — not just toy deployments
- You think about reliability as a product feature, not just an ops concern
- You’re comfortable across the full stack — networking, storage, compute, observability
- You could easily be a staff infrastructure engineer at a top AI lab — but you want the outsized impact of a startup, and you believe Tasklet can win
Read more about our company and apply via video by following the directions on our careers page.
Interview Process
The whole process can move very quickly.
- Send us a video application by following the instructions on our jobs page here.
- We’ll get on a call with you
- If there seems like a mutual fit, we’ll bring you onsite for 1/2 day.
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Job Details
- Category
- Software
- Employment Type
- Full Time
- Location
- San Francisco, CA
- Posted
- Compensation
- $280,000 - $380,000 per year
About Tasklet
AI chatbots can answer questions, but they can't do your work — they aren't connected to your tools, can't take actions, and stop running when you close the tab. Meanwhile, knowledge workers are still spending most of their day switching between dozens of SaaS apps, manually stitching together workflows that should be automated. Tasklet is the AI agent that actually does the work. It connects to every tool you use — via thousands of built-in integrations, any HTTP API, or MCP servers — and takes real actions on your behalf: pulling reports, updating CRMs, triaging emails, processing data, and more. When it needs a UI, it generates one on the fly. When it needs to crunch numbers or do bulk operations, it writes and runs code in a cloud sandbox. When it needs to interact with a website that doesn't have an API, it uses a real browser. And because it runs in the cloud 24/7, you can set up triggers to have it take ongoing responsibility for workflows — not just do something once, but handle it going forward. The product is deliberately simple: a chat interface where you talk to an extremely capable agent. But underneath that simplicity is a cloud-native agent runtime, best-in-class context engineering, a universal connections layer, and multi-model support that keeps us on the frontier as AI improves. We think legacy SaaS is being unbundled by agents, and Tasklet is the operating system that ties it all together.
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