YC-backed Tasklet seeks Head of Design Engineering to redefine AI agent interfaces
The San Francisco startup is offering up to $450,000 in salary for an individual contributor to build its interaction model from scratch.
Tasklet, an AI agent platform and member of the Y Combinator P26 batch, is recruiting a Head of Design Engineering to architect the interaction model for human-AI collaboration. The company aims to move beyond traditional chat interfaces to create a system where autonomous agents execute complex business operations.
The role is structured as a high-leverage individual contributor (IC) position rather than a management role. The successful candidate will own the product experience holistically—ensuring it is simple and intuitive—and personally implement the majority of that experience in production code. The position is full-time and requires the hire to work in-person at Tasklet's San Francisco office.
To attract talent capable of both high-level design and rigorous engineering, Tasklet is offering a significant compensation package. The base salary for the role ranges from $300,000 to $450,000, supplemented by an equity stake between 0.35% and 0.70%.
The Shift Beyond the Chatbot
Tasklet is developing a cloud-native agent platform designed as an operating system for knowledge work. Unlike standard AI chatbots that primarily provide information, Tasklet's platform is built to integrate with a variety of enterprise tools to perform cross-functional work based on plain English descriptions of desired outcomes.
This technical direction highlights a broader industry struggle: the defining product-design challenge of the AI era. While Large Language Models (LLMs) have proven their reasoning capabilities, the industry lacks a standardized, trustworthy interface for agents that perform real-world business tasks autonomously. By hiring a dedicated design engineer to build this from the ground up, Tasklet is betting that the next leap in AI productivity will come from the user interface and interaction model, not just the underlying model.
Industry Implications
If successful, Tasklet's approach could signal a shift in how businesses deploy AI. Moving from a "copilot" model—where a human prompts an AI for every step—to an "agent" model requires a new type of transparency and control mechanism. The Head of Design Engineering will be tasked with creating the visual and functional guardrails that allow humans to trust agents with high-stakes operational work.
What to Watch
As part of the Y Combinator P26 batch, Tasklet is operating under significant visibility within the startup ecosystem. Observers will be watching to see if the company can successfully transition from a cloud-native runtime to a polished, user-facing product. The primary remaining question is whether a single high-leverage IC can establish a design language scalable enough to support a general-purpose agent platform across diverse business use cases.