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 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.
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 |
|---|---|---|
| Customer Care Specialist, Superhuman Mail Customer Care Specialist for Superhuman Mail, a company that is part of Grammarly and an AI productivity platform. The role involves being a product expert, communicating with customers via email and tickets, solving problems, and being the voice of the customer to influence product and growth strategy. The company believes AI will revolutionize work and encourages employees to leverage AI for productivity. | — | 5 |
| Enterprise Customer Success Manager, Grammarly for Education This role is for an Enterprise Customer Success Manager at Grammarly for Education (part of Superhuman). The primary focus is on post-sales customer lifecycle management, including onboarding, activation, renewals, and expansion opportunities. The role involves training users on products and features, conducting strategic account reviews, and leveraging customer data to identify risks and opportunities. While the company is an AI productivity platform, this specific role is customer-facing and focused on driving product adoption and value realization, not on building or directly working with AI models. | — | 0 |
| Software Engineer, Back-End Back-End Software Engineer role at Superhuman (which acquired Grammarly), an AI productivity platform. The role focuses on building core product offerings, infrastructure, and features for millions of users. Responsibilities include shipping code, supporting production services, learning IaC, collaborating with internal teams, evaluating and proposing systems architecture, and mentoring. Requires 5+ years of experience, strong software engineering fundamentals, cloud experience (AWS/GCP/Azure), and experience with production systems at scale. The company emphasizes autonomy, trust, and a collaborative culture. | — | 0 |
| Software Engineer, Full-Stack Full Stack Software Engineer role at Superhuman (which includes Grammarly), an AI productivity platform. The role focuses on building and shipping impactful features for user acquisition and conversion, developing both front-end and back-end services, and contributing to production systems at scale. It emphasizes collaboration, a data-driven culture, and evaluating/proposing scalable systems. | — | 0 |