Superhuman currently has 10 active AI-related job listings. The majority of these roles, 80%, are focused on agents. Engineering is the most frequent function with 6 listings, followed by Product with 4. The company is hiring for roles involving agent orchestration, LLM observability, and tool use. In the last 30 days, Superhuman posted 2 new AI roles, representing an 87% decrease compared to the prior 30-day period.
Currently tracking 4 active AI roles, down 54% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $123k–$264k (avg $192k).
Superhuman currently has 9 active AI-related roles in our index. The most common open titles are: Data Engineer, Director, Data Science, Product Manager, GTM Engineering, Senior Design Technologist, AI Tooling, Senior Product Designer, Android. Most positions are in Engineering and Product.
Superhuman's active AI hiring is concentrated in: agents (78%), application (11%), data (11%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Job postings at Superhuman most frequently mention: React, JavaScript, Tool Use, System Design, Structured Output.
In the past 30 days, Superhuman has posted 1 new AI-related role. That is a -89% change versus the prior 30 days (9 → 1).
| Title | Stage | AI score |
|---|---|---|
| Senior Product Designer, Android Senior Product Designer for Android at Superhuman, focusing on designing and evolving AI-powered products like the Grammarly floating assistant and the Superhuman Go AI agent. The role involves setting the design vision, shaping user experiences for AI-native features, and establishing the design foundation for the Android platform. | Agent | 7 |
| Senior Product Designer, Docs Senior Product Designer to shape the AI-first, agentic future of Coda, focusing on designing how intelligent agents interact with users, making complex AI capabilities simple, intuitive, and trustworthy. The role involves end-to-end design, from concept to execution, and influencing product strategy in collaboration with PMs, engineers, and researchers. | Agent | 7 |