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).
Consumer · AI email assistant (acquired Grammarly 2025)
Superhuman currently has 8 active AI-related roles in our index. The most common open titles are: Data Engineer, Director, Data Science, Senior Design Technologist, AI Tooling, Senior Product Designer, Android, Software Engineer, Back-End. Most positions are in Engineering and Product.
Superhuman's active AI hiring is concentrated in: agents (75%), application (13%), data (13%). 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 |