
Job Description
Do not apply through this platform. To apply, you must submit a short video by email. See the full application instructions at https://tasklet.ai/careers.
Tasklet is building the AI platform companies use to run their business on agents. A customer describes an outcome in plain English, and Tasklet gets the work done across their tools and systems—immediately or in the cloud 24×7. We’re looking for unusually strong generalist engineers to build the product foundations that make Tasklet work. This includes the backend APIs behind product features; accounts, workspaces, permissions, billing, payments, and analytics; and the connector, authentication, webhook, and trigger infrastructure that lets Tasklet act across a company’s tools. This is a mostly backend role, but not a narrow specialization. You’ll turn messy product and business needs into clean primitives, then follow those systems into the product and infrastructure as needed. We care more about intelligence, first-principles reasoning, and strong computer-science fundamentals than experience with any particular technology or domain. We’re open to candidates from mid-level to Staff+. Regardless of level, this is a hands-on IC role: everyone at Tasklet personally builds and ships.
What you’ll do
- Build backend APIs and services that power Tasklet’s product.
- Develop core systems for identity, workspaces, sharing, permissions, billing, payments, and analytics.
- Build reliable infrastructure for connectors, authentication, webhooks, triggers, and third-party integrations.
- Design simple abstractions and data models that can support a fast-changing product.
- Own systems in production and improve their correctness, security, reliability, and operational simplicity.
- Work across the stack and across role boundaries whenever that is the best way to solve the problem.
Who you are
- You’re an exceptional problem solver with strong computer-science fundamentals.
- You reason from first principles, see how parts interact within a larger system, and move comfortably between levels of abstraction.
- You’ve built and operated meaningful production software, and you can debug a problem wherever it leads.
- You balance clean design with pragmatism: you know when to create a durable primitive and when to ship the simple thing.
- You learn quickly, operate well with ambiguity, and prefer responsibility over process.
- You use AI deeply in your own work. We don’t require prior professional AI experience, but we do expect you to already be seriously engaged: using current models, probing their limits, and forming your own views about where they are going. This role is full-time and primarily in person at our office at 1 Post St. in San Francisco.
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
- Last updated
- Jul 30, 2026, 07:40 PM
- Compensation
- $220,000 - $400,000 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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