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 |
| Applied Research Intern (Summer 2026) Research intern to work on LLM challenges in writing assistance, personalization, and AI detection, contributing to next-gen features and product offerings. The role involves end-to-end project execution, experimental result production, and developing state-of-the-art tools for written English enhancement. | Post-train | 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 |
| Program Manager, Acquisition Operations Program Manager for Acquisition Operations at Superhuman (Grammarly), focusing on managing and scaling paid and organic acquisition channels across four business units (Mail, Docs, Agents, Go). This role involves designing operational workflows, serving as a coordination point, and partnering with senior leaders to structure acquisition efforts. The role requires strong project management, process orientation, and familiarity with marketing/growth operations, with comfort in leveraging AI tools to enhance workflows. | — | 5 |
| Group Manager, Managed Lifecycle Group Manager, Managed Lifecycle Marketing for Superhuman (Grammarly) to lead the B2B-facing lifecycle strategy for sales-assisted enterprise products, focusing on pipeline generation, activation, engagement, retention, and expansion. This role involves managing a team, partnering with various departments (Sales, CS, Product, Data Science), and leveraging data and machine learning for campaign optimization. | — | 5 |
| Business Operations Lead This role is for a Business Operations Lead at Superhuman, an AI productivity platform company. The role focuses on partnering with leaders in Managed Growth and Go-to-Market (GTM) to drive strategic clarity, operational alignment, and execution for enterprise growth initiatives. It involves connecting strategy to execution, ensuring clear priorities, data-informed decisions, and cross-functional collaboration. The role operates at the intersection of strategy, operations, and cross-functional collaboration, aiming to strengthen business foundations and enable growth. It is central to the company's 'compound startup model' which unifies diverse product offerings and GTM teams into a single growth engine for enterprise impact. | — | 5 |
| Group Manager, Growth and Website Content This role manages a team focused on growth and website content for consumer products, with a player-coach expectation to contribute directly to content creation. A key aspect is upskilling the team on AI-assisted content creation and driving best practices for AI content production, while ensuring high quality and strategic alignment. The role involves owning content strategy, managing a team, and overseeing content execution across websites to drive acquisition and conversion. | — | 5 |
| Senior Manager, Lifecycle Marketing, Mail This role is for a Senior Manager, Lifecycle Marketing for Superhuman Mail, focusing on user journey acceleration across activation, engagement, retention, and expansion. The role involves defining lifecycle strategy, building foundational systems like segmentation and experimentation, and executing programs across email and in-product messaging. It also includes designing cross-sell journeys across Superhuman's product ecosystem (Grammarly, Coda, Mail) and working with cross-functional teams. | — | 5 |
| Manager, Commercial Sales Manager, Commercial Sales for Superhuman, an AI productivity platform. This role leads a team of Account Executives, focusing on coaching, operational rigor, and driving sales for the Superhuman platform which integrates AI into various applications to enhance productivity. The role involves cross-functional collaboration with Customer Success, Solutions Engineering, Marketing, Product, and Revenue Operations to shape go-to-market strategies and deliver customer outcomes. | — | 5 |
| Enterprise Account Executive, Docs Enterprise Account Executive for Coda Docs, a product within the Superhuman AI productivity platform. This role involves owning the end-to-end sales motion, identifying opportunities, building pipelines, conducting consultative discovery, and closing deals with enterprise clients. Requires strong SaaS sales experience, ability to sell technical products, and proficiency in a matrixed selling environment. | — | 5 |
| Senior Product Manager Senior Growth Product Manager for Superhuman (which includes Grammarly), an AI productivity platform. The role focuses on owning and improving conversion across the user funnel (visitor to signup, signup to activated, activated to engaged) by shipping experiments, optimizing funnels, and building product experiences. The PM will work with engineering, data science, and marketing to drive growth metrics. | — | 5 |
| 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 Product Manager, Growth Staff Product Manager, Growth for an AI productivity platform. Focus on optimizing the purchase funnel, monetization, and cross-product activation for a suite of AI products. Will define growth strategy, own conversion optimization, shape pricing and packaging, develop cross-activation strategy, and partner with engineers to build intelligent recommendation systems. Requires strong analytical skills, experience with experimentation, and ability to navigate ambiguity in a multi-product ecosystem. | — | 5 |
| Manager, Strategic Customer Success Manager, Strategic Customer Success at Superhuman, an AI productivity platform. This role focuses on building and leading a team of Strategic CSMs to define and execute high-touch success programs for the company's most strategic accounts. The role involves coaching the team, building executive relationships, defining adoption metrics, synthesizing customer feedback for the product roadmap (especially for Agents and Go), and driving adoption of AI tools within the team. The ideal candidate has experience building and scaling CS teams, is AI-fluent, and can operate as both a visionary and an executor. | — | 5 |
| Director Product Management, Data Director of Product Management, Data at Superhuman, focusing on data products that power AI experiences, internal tools, and data infrastructure for a B2B SaaS company. The role involves owning product strategy, leading experimentation frameworks, and managing a team of PMs, with a strong emphasis on AI integration into daily workflows and customer experiences. | Ship | 5 |
| 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 |
| 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 |
| Director, Data Science Director, Data Science to lead the data science strategy and team for a core product in an AI-native suite, focusing on agentic features and AI-powered productivity. The role involves shaping data's influence on product direction, investment, and user experience, partnering with cross-functional teams to drive growth and impact. Responsibilities include building and mentoring a high-performing team, guiding them on high-impact questions, developing experimentation and measurement practices, and ensuring decisions are grounded in user understanding and business outcomes. This role requires leadership in fast-moving environments, analytical rigor, and developing exceptional teams, with the ability to balance vision and execution. | Ship | 5 |
| Digital Adoption Manager, Coda The Digital Adoption Manager will own the layer of customer education and digital experiences that help customers get the most out of Superhuman's AI productivity platform. This role sits at the intersection of education, data, and product, focusing on mapping customer journeys, identifying adoption gaps, and designing digital experiences to close those gaps. Responsibilities include partnering with various teams to build in-product experiences, equip account teams with educational sequences, and use product usage data to drive adoption. The role also involves creating content and leveraging AI to enhance both the production and delivery of adoption programs. The ideal candidate has 3+ years in a relevant role, strong data analysis skills, experience shaping customer journeys, excellent writing skills, and comfort using AI in their daily work. Familiarity with digital adoption tools is a plus. | — | 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 |
| Sales Engineer, Superhuman for Education Sales Engineer for Superhuman's Education team, focusing on higher education and K-12 institutions. The role involves partnering with Account Executives to understand institutional needs, demonstrate Superhuman's AI solutions (writing assistance, tone detection, AI capabilities), run POCs, handle technical reviews, explain integrations (APIs, MCPs, agentic AI workflows), and complete RFPs. The target audience is colleges, universities, and K-12 organizations, aiming to support student success, faculty productivity, and institutional writing standards. | — | 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 |
| Staff Growth Product Designer, Cross Activation Product Designer focused on growth, activation, and early lifecycle experiences for a unified AI productivity suite. This role involves designing experiments, defining key user value moments, and crafting polished product experiences to drive adoption and engagement across multiple integrated products (Grammarly, Coda, Mail). The designer will influence the roadmap for cross-product discovery and the introduction of AI-powered features. | — | 5 |
| Senior Product Marketing Manager, Agents The Senior Product Marketing Manager will support the Agents team, focusing on the Superhuman Go AI assistant for reading and writing across workflows. This role involves market research, competitive analysis, defining positioning and messaging, and leading go-to-market strategy and execution for new features. The goal is to make the AI assistant the best tool for knowledge workers and students, integrating with existing products like Grammarly. | — | 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 |
| Senior Product Manager, Data Signals Product Manager for the Data Signals team, responsible for building the service that allows product teams to leverage the data ecosystem to personalize experiences, sharpen AI outputs, and power AI-driven experiences. This role is technical, at the intersection of data infrastructure and product craft, partnering with engineers and data scientists to define data signals. | Data | 5 |
| Senior Product Manager, Admin & Buyer Experience Product Manager for Superhuman's AI-powered productivity suite, focusing on the admin and buyer experience for enterprise clients. The role involves owning the roadmap for the admin console, defining the buyer journey, and ensuring the platform meets enterprise requirements for security, compliance, and scalability. The ideal candidate has experience in B2B SaaS product management, understands enterprise IT needs, and can design intuitive experiences for complex systems, leveraging AI in daily workflows. | — | 5 |
| Senior Product Marketing Manager, Enterprise Product Marketing Manager for an AI productivity platform, focusing on enterprise go-to-market strategies, sales enablement, competitive intelligence, and product launches. Requires strong storytelling, enterprise SaaS experience, and AI fluency in daily workflows. | — | 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 |
| Senior Customer Success Manager Senior Customer Success Manager role at Superhuman (Grammarly), focusing on enterprise education accounts. Responsibilities include managing the post-sales customer lifecycle, driving renewals and expansion, delivering enablement, conducting account reviews, and acting as a consultative partner. The role requires understanding customer goals, training users, and leveraging AI/LLM knowledge to demonstrate value. Key qualifications include experience in customer success/account management, strong communication and analytical skills, and familiarity with the AI landscape. | — | 5 |
| Partner Technical Enablement Manager This role focuses on enabling partners (resellers, MSPs, SIs) to effectively sell, implement, and support Superhuman's AI-powered products. The Partner Technical Enablement Manager will develop training materials, design learning paths, and act as a technical subject matter expert to drive partner success and product adoption. While the company is an AI productivity platform, this role is not directly building or researching AI models but rather enabling others to leverage and sell AI-driven solutions. | — | 5 |
| Manager, Academy Manager for a new Customer Academy at Superhuman, focusing on creating educational content and training programs for AI and SaaS products to drive customer adoption. The role involves leading a team, developing content for products at various maturity stages, and embedding AI tools to enhance team efficiency. | — | 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 |
| Instructional Designer This role is for an Instructional Designer at Superhuman, an AI productivity platform. The primary focus is on designing and establishing the pedagogical foundation for customer education across various modalities, including in-product education, to help users learn and leverage Superhuman's AI products. The role involves partnering with Product and Engineering to embed learning experiences within AI products and defining quality standards for educational content. | — | 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 |
| Director, Enterprise Product Marketing Director of Enterprise Product Marketing for Superhuman, an AI productivity platform. This role focuses on owning the go-to-market narrative for enterprise business, packaging products like Go, Grammarly, Coda, and Mail into compelling solutions for enterprise buyers. Responsibilities include defining positioning, building customer marketing programs, managing analyst relations, and developing the enterprise PMM team. Requires 10+ years in product marketing, experience in B2B SaaS, and a strong understanding of AI tools in daily workflows. | — | 5 |
| Security Engineer Security Engineer role focused on designing and implementing secure architectures, pioneering AI and automation for security capabilities, and protecting AI-powered systems. The role involves risk assessment, threat modeling, and collaborating with cross-functional teams in a fast-paced SaaS environment. | — | 5 |
| Staff Product Designer Staff Product Designer for the Agents team at Superhuman, focusing on designing AI-powered agent experiences that help users communicate and get work done more productively. The role involves shaping product strategy, collaborating with engineering and design teams, and mentoring junior designers. | — | 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 |
| Corporate Development and Investor Relations This role is in Corporate Development and Investor Relations for Superhuman, an AI productivity platform. The role supports M&A strategy, investor relations, and financial operations, partnering with the executive team. While the company is AI-focused and the role benefits from AI tools, the core responsibilities are financial and strategic, not AI/ML development. | — | 5 |
| Senior Product Designer, Mail Senior Product Designer for Superhuman Mail, focusing on designing AI-powered workflows to enhance user productivity and streamline email experience. The role involves end-to-end design ownership, from concept to implementation, in collaboration with product managers, engineers, and researchers. Requires experience with AI-powered products and a strong understanding of design fundamentals. | — | 5 |