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 |
|---|---|---|
| Enterprise Customer Success Manager, Grammarly for Education This role is for an Enterprise Customer Success Manager at Superhuman (which acquired Grammarly). The primary focus is on post-sales customer lifecycle management for enterprise accounts, ensuring adoption, value realization, renewals, and expansion. The role involves onboarding, training users, conducting account reviews, and contributing to process improvements within the customer success engine of an AI productivity platform. | — | 0 |