Jobs at Superhuman

Build and operate high-throughput backend services for AI agent orchestration, real-time infrastructure, data pipelines, scheduling, session history, APIs, and enterprise controls. Design highly available cloud infrastructure, collaborate with AI, product, and frontend teams, and contribute to testing, documentation, reliability, and mentoring junior engineers.

Build polished, responsive front-end interfaces for AI-powered products, including chat, document editing, inline agent suggestions, and agent builder tools. Develop with React and TypeScript across web, desktop, and browser-extension surfaces. Solve streaming, state-management, and cross-platform interaction challenges; collaborate with Product, Design, and AI teams; maintain testing, documentation, availability, and user experience standards; and mentor junior engineers.

Own lifecycle email and in-app campaigns for portfolio products using Iterable and HubSpot. Build, schedule, test, and optimize customer journeys; coordinate cross-functional marketing projects; develop A/B tests; analyze campaign performance; improve execution systems and processes; and support cross-product adoption across Superhuman’s product suite.

Automate GRC evidence collection, control testing, compliance workflows, and continuous monitoring across SOC 2, ISO, PCI DSS, and AI governance frameworks. Configure GRC platforms, build evidence collectors and analysis rules, manage compliance-as-code in GitHub, use agentic AI for control mapping and gap analysis, and partner with engineering and control owners on remediation.

Manage Superhuman’s unified security audit program across SOC 2, ISO, and other frameworks. Responsibilities include audit planning, evidence collection, gap assessments, control-owner coordination, auditor relationships, findings remediation, third-party risk support, program reporting, and process automation using AI and GRC tooling.

Leads Superhuman’s Developer Experience and Release Engineering team in Berlin. Owns CI/CD, build, release, and rollout systems across web, desktop, mobile, browser extensions, and APIs. Responsibilities include managing engineers, improving delivery metrics, operating progressive release tooling, coordinating launches, strengthening supply-chain security, reducing developer friction, handling release incidents, and guiding technical strategy while remaining hands-on.

Leads strategic finance partnership across business units, including budgeting, forecasting, long-range planning, product P&L analysis, business reviews, scenario modeling, investment evaluation, and resource allocation. Builds financial alignment with senior leaders, manages complex models and datasets, and leads, coaches, and develops a team of four while improving workflows through AI and automation.

The Product Security Engineer secures Superhuman’s products and AI systems across the software development lifecycle. Responsibilities include threat modeling, design reviews, secure code reviews, manual testing, vulnerability mitigation, security tooling and automation, bug bounty program improvements, and AI-based security tools. The role partners with engineering teams, communicates security risks and trade-offs, and helps establish secure-by-default platforms and identity models.

Leads finance partnership for the Docs business unit, owning its product P&L narrative, budgeting, forecasting, long-range planning, revenue analysis, business reviews, and product economics. Builds financial models and investment cases, evaluates growth initiatives, explains performance and risks, and advises senior leaders across Product, Engineering, and Go-to-Market. Establishes scalable planning and reporting processes while using AI and automation to improve analysis and decision support.

Lead growth design for websites, landing pages, search surfaces, and acquisition experiences. Develop strategies, prototypes, interactive web experiences, and visual systems that improve discovery, conversion, activation, and onboarding. Use research, data, and experimentation to optimize designs, collaborate with marketing, product, and engineering, mentor designers, and influence acquisition roadmaps and design standards.

Build and evolve Superhuman Mail’s Model Context Protocol platform, agentic workflows, personalization features, and LLM evaluation systems. Select and integrate models, develop AI building blocks for cross-functional teams, and help shape modeling approaches. The role focuses on backend engineering and applied AI, requiring production experience with LLM-powered features, strong ownership, and comfort with ambiguity and rapid change.

Build Superhuman Mail’s AI platform, including MCP tools, agentic workflows, personalization, LLM evaluation systems, and model-selection infrastructure. Partner across teams to provide reusable AI capabilities, ship production LLM features, and improve modeling approaches, data collection, and quality measurement. The role combines backend engineering with applied AI and requires adapting quickly as the field evolves.

Build Superhuman Mail’s AI platform, including MCP tools and standards, agentic workflows, personalization, LLM evaluation systems, and model-selection strategies. The role involves shipping production LLM features, partnering across teams on reusable AI capabilities, and potentially shaping data collection and modeling approaches. Engineers will work primarily with backend systems and applied AI while adapting quickly to evolving technologies and product priorities.

Lead end-to-end B2B growth product strategy: design discovery, onboarding, activation, trials, retention, and expansion flows. Build admin controls and provisioning rules, partner with Sales, Customer Success, and Self-Serve Growth, embed growth thinking across product teams, and define/track enterprise growth metrics to prioritize roadmap and measure impact.

Build and operate high-throughput backend services for AI agent orchestration, calendar and scheduling, real-time data pipelines, APIs, and integrations. Design scalable platform infrastructure using Go, PostgreSQL, Kubernetes, and cloud services. Collaborate with AI, product, and frontend teams, contribute to infrastructure as code, testing, reliability, and documentation, and mentor junior engineers.

The Security Engineer will support detection and response through incident response leadership, threat hunting, detection engineering, threat intelligence, and complex investigations. Responsibilities include building automated security tooling, AI-driven alert triage, security intelligence pipelines, detection-as-code, cloud security capabilities, and autonomous security solutions. The role also involves on-call incident command, attacker-focused research, security education, and cross-functional collaboration.

Build and operate high-throughput backend services for AI agents, calendar, scheduling, integrations, real-time data pipelines, and APIs. Design platform infrastructure, event-driven systems, and client-server protocols using Go, PostgreSQL, Kubernetes, and cloud platforms. Collaborate with AI, product, and frontend teams, improve reliability through testing and infrastructure as code, and mentor junior engineers.

Build and operate high-throughput backend services for AI agent orchestration, calendar systems, real-time infrastructure, APIs, and data pipelines. Design scalable platform services, infrastructure as code, and highly available production systems using Go, PostgreSQL, Kubernetes, and cloud platforms. Collaborate with AI, product, and frontend teams to deliver AI-powered features, contribute to reliability and testing practices, and mentor junior engineers.

Analyze acquisition data and guide marketing strategy, budget allocation, channel optimization, and growth decisions. Design incrementality experiments, develop marketing mix and allocation models, define acquisition metrics, identify new growth opportunities, and improve web conversion. Partner with Marketing, Engineering, Finance, Design, and User Research to translate statistical and machine learning insights into measurable business outcomes across paid, organic, consumer, and enterprise channels.

Design onboarding, activation, upgrade, and early-lifecycle experiences across Superhuman’s product suite. Lead growth experiments from hypotheses through polished designs, using qualitative and quantitative insights to improve adoption and engagement. Collaborate with Product, Engineering, Marketing, Research, Analytics, and other designers to shape cross-product journeys, communicate design rationale, resolve complex interaction challenges, and mentor teammates while maintaining high craft and brand standards.