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, agents, permissions, billing, payments, and analytics; and the connector, authentication, webhook, and automation 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, agents, sharing, permissions, billing, payments, and analytics.
- Build reliable infrastructure for connectors, authentication, webhooks, automations, 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.