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 |
|---|---|---|
| Data Engineer Data Engineer on the Data Enablement Engineering team responsible for building and scaling a world-class data platform that handles billions of daily events. The role involves architecting and leading the development of large-scale data pipelines, data lakes, and ensuring data availability, security, and scalability. Collaboration with ML engineers and other stakeholders is key to powering product features and data-driven decision-making. | Data | 5 |