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 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 |
|---|---|---|
| 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 |
| Senior Product Designer, Android Senior Product Designer for Android at Superhuman, focusing on designing and evolving AI-powered products like the Grammarly floating assistant and the Superhuman Go AI agent. The role involves setting the design vision, shaping user experiences for AI-native features, and establishing the design foundation for the Android platform. | 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 |
| Senior Product Designer, Docs Senior Product Designer to shape the AI-first, agentic future of Coda, focusing on designing how intelligent agents interact with users, making complex AI capabilities simple, intuitive, and trustworthy. The role involves end-to-end design, from concept to execution, and influencing product strategy in collaboration with PMs, engineers, and researchers. | Agent | 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 |
| Staff Design Engineer, Go Staff Design Engineer on the Superhuman Go team, focusing on building AI agents that provide proactive assistance. The role involves end-to-end delivery of features from prototype to production, with a strong emphasis on user interface craft, interaction design, and leveraging AI coding tools. The goal is to create responsive, intuitive, and trustworthy AI-powered experiences across various platforms. | Agent | 5 |
| Software Engineer, Front-End Front-End Software Engineer role at Superhuman, focusing on building interfaces for AI-powered productivity tools. The role involves creating user experiences for real-time AI content generation, agent suggestions, and agent builder tools, integrating with various Superhuman products like Go, Mail, and Docs. Requires expertise in React, TypeScript, and experience with AI-related features, aiming to make AI capabilities intuitive for millions of users. | Agent | 5 |
| Product Manager, GTM Engineering Product Manager for GTM Engineering at Superhuman, focusing on building and integrating AI-powered automations and systems to improve efficiency and data quality across the revenue stack (CRM, marketing automation, sales enablement, customer success). This role involves defining the product roadmap for GTM systems, evaluating build vs. buy decisions for AI vendors, and translating revenue team needs into technical requirements. | Agent | 5 |
| Customer Education Operations Manager This role is responsible for the technical and operational backbone of the Customer Education team, owning the tech stack, data pipelines, and integrations. It involves supporting vendor evaluations, prototyping solutions, and leveraging AI to enhance team efficiency and develop new educational programs and AI-powered experiences. The role requires a builder's instinct and strong systems thinking to integrate AI into various aspects of customer education. | Agent | 5 |
| Software Engineer, Experimentation Software Engineer focused on building and evolving experimentation infrastructure to support next-generation AI products and agentic workflows. The role involves collaborating with Data Scientists and Engineers to measure AI-driven experiences, integrating experimentation with AI-driven evaluations, and supporting production systems at scale. The company is an AI productivity platform. | Agent | 5 |
| Staff Product Designer, Go Core Staff Product Designer for Superhuman Go, an AI productivity agent that helps users get work done by expressing goals in natural language and working alongside agents. The role focuses on designing the user experience of agentic work, from initiation to progress and orientation, across various surfaces. | Agent | 5 |