AI-Native Staff Product Designer, AI + Compute

Role overview

Shape the experience developers use to build and operate AI agents and the compute that runs them. This staff-level product design role combines technical depth with end-to-end design work across interfaces, command-line tools, SDKs, and documentation. The goal is to make complex infrastructure tasks, such as scaling workers and understanding usage, clear and manageable.

Responsibilities

- Design workflows for building, running, deploying, and observing agent-based workloads. - Improve the compute experience, including worker configuration, scaling, resource usage, and cost visibility. - Create prototypes that illustrate future product direction and help product and engineering teams align on roadmaps. - Work across the cloud interface, command-line tools, SDKs, and developer documentation. - Use AI tools in daily design work to explore ideas, prototype, and test more quickly. - Partner with product managers and engineers from discovery through delivery, and extend the design system for new use cases. - Turn ambiguous infrastructure problems into simple, consistent experiences, using product usage data to inform decisions.

Requirements

- At least eight years of product design experience, including senior or staff-level ownership of complex technical products and influence on product direction. - Understanding of compute and infrastructure concepts such as workers, queues, scaling, and resource usage, with the ability to work credibly with engineers. - Portfolio demonstrating systems thinking and early-stage product work in developer tools, business software, infrastructure, dashboards, or other data-rich products. - Experience designing AI-powered products or agent experiences. - Regular use of AI tools in a design workflow, plus comfort with GitHub and terminal environments. - Hands-on Figma experience and a track record of partnering with engineering on technically constrained products. - Experience using product analytics to guide design, and a habit of prototyping and iterating quickly.

Nice to have

- Knowledge of distributed systems, workflow orchestration, or durable execution. - Experience with serverless platforms, container orchestration, or cloud compute. - Familiarity with the challenges of operating AI agents in production. - Familiarity with HTML, CSS, and JavaScript, or comfort reading code.