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).
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.
| Title | Stage | AI score |
|---|---|---|
| Software Engineer, Full-Stack Software Engineer role focused on building an AI agent platform for Superhuman's Docs AI team. The role involves developing core orchestration, routing, and planning systems where multiple AI agents collaborate to solve complex user problems within Superhuman's productivity suite. Requires experience with agents, AI workflows, and a strong understanding of LLMs. | Agent | 8 |
| Engineering Manager, Go Engineering Manager for the Assist team within Superhuman Go, focusing on building and scaling a pervasive AI assistant that proactively surfaces agents to help users. The role involves leading a team of 8+ engineers, owning the technical direction for the agent platform, optimizing inference, and shipping user-facing products across multiple surfaces. | AgentServe | 8 |
| Engineering Manager, Coda AI Engineering Manager to lead the Coda AI team, focusing on building native AI capabilities for a collaborative workspace. The role involves leading a team of engineers, owning the technical direction of the native AI agent (architecture, tool framework, prompt engineering, context management, multi-turn conversation), driving development of the MCP API for external AI client integration, shaping AI integration across the product, and making architectural decisions. Emphasis on AI quality measurement, evaluation pipelines, and shipping user-facing AI features. | AgentEval Gate | 8 |
| Senior Design Technologist, AI Tooling Senior Design Technologist role focused on leading AI prototyping and internal tooling initiatives to enhance design precision, cohesion, and brand consistency within an AI-native productivity platform. The role involves developing AI-assisted design tools, integrating AI into design workflows, and building prototypes and frameworks to support design operations. | Agent | 7 |
| Software Engineer, Back-End Software Engineer, Back-End role at Superhuman, focusing on building and operating high-throughput production services that power AI agent orchestration, connector integrations, and real-time data pipelines. The role involves designing core platform services like task schedulers and session history, and working across the product suite to ship AI-powered features end-to-end. It requires experience with backend development, cloud platforms, and comfort working with AI-powered systems, with a focus on scaling AI features for consumer and enterprise customers. | AgentServe | 7 |
| Software Engineer, Back-End Software Engineer, Back-End role at Superhuman, focusing on building and operating high-throughput production services that power AI agent orchestration, connector integrations, and real-time data pipelines. The role involves designing core platform services like task schedulers and session history, and working across the product suite to ship AI-powered features end-to-end. It requires experience with backend development, cloud platforms, and comfort working with AI-powered systems, with a focus on scaling AI features for consumer and enterprise customers. | AgentServe | 7 |
| Software Engineer, Full-Stack Full-Stack Software Engineer role focused on building internal agentic systems for Superhuman engineers. The role involves designing and shipping agentic features, building evaluation frameworks for non-deterministic agent behavior, and owning end-to-end systems including prompt design, tool integration, orchestration, observability, and cost. Requires hands-on experience with LLM APIs and a strong understanding of developer experience and non-determinism. | AgentEval Gate | 7 |
| GTM AI Engineer GTM AI Engineer to own the design and execution of AI-driven workflows across Superhuman's go-to-market stack, translating business needs into automations that improve sales processes. This role involves shipping production AI workflows, configuring AI infrastructure, managing AI connectors, and partnering with stakeholders to define and build AI solutions. | Agent | 7 |