154K–252K USD / year

AI-Native Staff Product Designer, AI + Compute

DesignRemote — United States
Published on 2026-11-11
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.

About this role

Design AI-native developer experiences for building, deploying, and observing agent workloads on Temporal. The role focuses on making infrastructure and compute concepts—including worker configuration, scaling, usage, and cost—clear and approachable across product interfaces and developer tools.

About the company

Temporal is a durable execution platform for running reliable workflows and long-running business processes. It helps engineering teams build fault-tolerant applications without custom state machines.

The team

Product and Design

Stack

TemporalFigmaClaudeCodexGitHubCLISDKs

What you'll do

  • Design experiences for building, running, deploying, and observing agentic workloads.
  • Shape the end-to-end compute experience, including worker configuration, scaling, usage, and cost.
  • Prototype future-state agent and compute experiences to guide product and engineering roadmaps.
  • Design across Cloud UI, CLI, SDKs, and documentation.
  • Use AI tools to explore, prototype, and test ideas.
  • Partner with product managers and engineers from discovery through delivery.
  • Extend the design system for agentic use cases.

What we're looking for

  • 8+ years of product design experience, including senior or staff-level ownership of complex technical products.
  • Understanding of compute and infrastructure concepts such as workers, scaling, queues, and resource usage.
  • Portfolio demonstrating systems thinking and 0-to-1 work in developer tools, infrastructure, B2B products, or dense data interfaces.
  • Experience designing AI-powered products or agent experiences.
  • Fluency with AI tools such as Claude or Codex, and comfort with GitHub and terminal environments.
  • Hands-on Figma experience.
  • Experience partnering directly with engineering and analyzing product usage.
  • Bias toward rapid prototyping and iterative shipping.

Nice to have

  • Knowledge of distributed systems, workflow orchestration, or durable execution.
  • Experience with serverless platforms, container orchestration, or cloud compute.
  • Familiarity with production agentic AI patterns.
  • Familiarity with HTML, CSS, and JavaScript or comfort reading code.

Benefits

  • Equity
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