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 |
|---|---|---|
| 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 |
| 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 |
| Director, Engineering Engineering Director to lead and scale the Porto engineering site following the acquisition of Rows by Superhuman. Responsible for integrating a high-performing team, scaling the site, aligning architecture, roadmap, and culture, and evolving systems to support next-generation AI-powered products. | — | 5 |
| 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 for an AI productivity platform, focusing on building user interfaces for AI-powered products like real-time chat, agent suggestions, and document editors. The role involves working with React, TypeScript, and integrating AI capabilities into user experiences across web, desktop, and extensions. | — | 5 |
| Corporate Security Engineer Security Engineer for Superhuman's Corporate Technology team, focusing on protecting the corporate environment and infrastructure. The role involves designing and maintaining security controls, developing standards, leveraging AI for security automation and threat detection, defining AI security standards, performing risk assessments, leading Zero Trust architecture, and driving vulnerability remediation. Experience with AI security principles and using AI for security operations is required. | — | 5 |
| 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 |
| Security Engineer Security Engineer role focused on designing secure architectures, pioneering AI and automation for security capabilities (threat detection, code reviews, vulnerability analysis), and defining the playbook for protecting AI-powered systems. The role emphasizes balancing security with product innovation and risk-informed decision-making. | — | 5 |
| Engineering Manager, Managed Growth Engineering Manager for the Managed Growth team at Superhuman (Grammarly). This role focuses on growing the Sales-led business by enhancing the Enterprise featureset, enabling a transition to an agentic future, and building new agents for enterprise users. The manager will lead a team of 6 engineers, mentor them, and contribute technically to designs and code reviews. | — | 5 |
| Alliances Partner Engineer This role is for an Alliances Partner Engineer at Superhuman, an AI productivity platform. The engineer will serve as the technical lead for strategic partnerships, focusing on solution engineering, technical evangelism, and hands-on development to drive partner success and platform adoption. Responsibilities include owning the technical relationship with partners, leading technical workshops and solution design sessions, building proofs-of-concept, and translating partner feedback into actionable insights. The role requires 7+ years of experience in software engineering, solution architecture, or technical pre-sales, with a strong track record of leading technical strategy and excellent communication skills. | — | 5 |
| Engineering Manager, Checkout & Payments Engineering Manager for Checkout & Payments team at Superhuman, responsible for leading the team that manages customer payments, including checkout experiences, fraud prevention, payment method integrations, and infrastructure reliability. This role involves migrating from fragmented billing systems to a unified stack and building a scalable checkout platform, requiring close collaboration with product and engineering leads across various business units. | — | 0 |
| Systems Specialist, Lifecycle Marketing This role is for a Systems Specialist within the Lifecycle Marketing Operations team at Superhuman, focusing on the technical backbone of marketing systems. The specialist will administer and maintain martech platforms, particularly Hightouch (reverse ETL), serve as the first line of support for system issues, partner with engineering and marketing teams on technical implementations, monitor sync performance, and manage platform configurations and access. The role also involves audience segmentation, data hygiene, QA, and identifying operational inefficiencies, with an opportunity to build solutions leveraging AI technologies. The company is described as an AI productivity platform. | — | 0 |
| Senior Technical Recruiter Senior Technical Recruiter role at Superhuman, an AI productivity platform. The role focuses on owning the business recruiting funnel, from sourcing to closing, and partnering with hiring managers. Responsibilities include designing sourcing strategies, building stakeholder partnerships, improving assessment frameworks, analyzing funnel data, and leading diversity initiatives. | — | 0 |
| Software Engineer, macOS Software Engineer, macOS role at Superhuman, an AI productivity company, focusing on the end-to-end development of Grammarly for Mac. The role involves building features and infrastructure for a complex, multifaceted product, ensuring performance, and developing shared components across Apple platforms. | — | 0 |
| Software Engineer, Superhuman Database Infrastructure Software Engineer to join the Platform team within Superhuman Docs, working on the structured data storage layer that powers tables, grids, and views. This role involves contributing to and growing into a technical leadership position on the foundation of the platform, focusing on aspects like cell storage, row ordering, index management, view materialization, and query execution. The engineer will also drive improvements in handling large, complex tables at scale, optimize server-side query planning, collaborate with other teams to ensure correctness, contribute to performance benchmarking, and help define the evolution of structured data on the platform. | — | 0 |
| Software Engineer, Full-Stack (Experimentation) Full-Stack Software Engineer role at Superhuman (Grammarly), focusing on building core parts of their AI productivity platform, infrastructure, and features. The role involves working across front-end and back-end to deliver impactful features for millions of users, targeting high availability for consumer and enterprise customers, and contributing to an engineering culture that prioritizes impact. Requires 3+ years of full-stack experience, strong software engineering fundamentals, and experience with production systems at scale. | — | 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 |
| Software Engineer, Full-Stack Full-Stack Software Engineer to build core parts of the Superhuman product offering, infrastructure, and features for AI productivity platform. Role involves both Front-End and Back-End development, targeting high availability for consumer and enterprise customers, and contributing to an engineering culture focused on documentation, testing, and user experience. Opportunity to mentor new hires and evaluate/propose future systems and architecture. | — | 0 |
| Engineering Manager, Coda - Formula Engine Engineering Manager to lead the Formula Engine team within Coda, owning the computational backbone that powers millions of distinct user-built applications. This role involves leading a team of 5+ engineers, owning the technical direction of the formula engine (language design, parsing, execution planning, optimization, runtime performance), driving improvements for responsiveness and scale, building evaluation frameworks, and shaping the formula language. The role requires experience in programming language implementation, query optimization, compiler design, or high-performance runtime systems, and shipping/operating systems at scale. | — | 0 |
| Site Reliability Engineer Site Reliability Engineer responsible for building software to ensure the reliability of back-end systems, working with engineers who develop them, and planning for future growth. The role involves scaling Kubernetes-based control plane, improving automation mechanisms, and deploying ML systems. | — | 0 |