Jobs at Superhuman

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.

Build and operate scalable backend services powering AI agent orchestration, real-time data pipelines, scheduling, conversation history, APIs, and platform infrastructure. Collaborate with AI, product, and front-end engineers to deliver AI-powered features, improve reliability, and support consumer and enterprise customers. The role includes infrastructure as code, testing, documentation, production debugging, cross-functional prioritization, and mentoring 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.

Leads Superhuman’s web and top-of-funnel growth design strategy, experimentation, acquisition flows, conversion experiences, and interactive web tools. Manages and develops a team of designers while partnering with Product, Engineering, Marketing, Research, Data Science, and Brand. Establishes scalable design systems, raises craft standards, guides A/B testing, and shapes growth strategy through compelling, high-performing web experiences.

Advise product, engineering, security, and business teams on global privacy, security, and data protection laws. Lead privacy impact assessments, compliance implementation, policy development, training, regulatory guidance, and privacy M&A diligence. Address sensitive data issues involving children’s and biometric data across AI, SaaS, and cloud products, while translating complex legal risks into actionable business guidance.

Build AI agent orchestration, routing, planning, memory, and action systems. Develop and deploy machine learning models for search ranking and proactive suggestions, integrate modern LLMs, and design evaluations to improve quality, speed, and cost. The role requires independent ownership, strong product sense, and collaboration in a fast-paced environment.

Build and maintain Databricks data pipelines and reusable models for Go product analytics. Define metrics, improve event logging, connect product usage with customer data, and support adoption and growth analysis. Ensure data quality through testing, monitoring, troubleshooting, and documentation. Optimize pipeline performance and costs while collaborating with Product, Engineering, and Data Science. Contribute dashboards and analyses that support product and business decisions.

Leads strategic finance for the consumer business, owning ARR planning, forecasting, financial modeling, performance reporting, and cohort analysis. Partners with Growth, Product, Data, Marketing, business units, executives, and the Board to evaluate acquisition, conversion, retention, investment priorities, and tradeoffs. Builds trusted metrics, improves attribution and forecasting processes, and translates user behavior and business performance into strategic recommendations.

Develop and execute organic social media strategy across multiple platforms, managing content calendars, publishing, platform-specific copy, community engagement, campaigns, and social video. Monitor performance and report on engagement, reach, and brand impact. Collaborate with marketing, product, design, communications, partner marketing, social care, and agency teams to build brand awareness and support product launches.

Embedded Data Scientist for Superhuman Mail, partnering with product, growth, engineering, and design teams to guide roadmap decisions. Responsibilities include defining product metrics, designing experiments, applying causal inference and machine learning, measuring AI feature quality, analyzing activation and retention, identifying growth and conversion drivers, and communicating insights to stakeholders. The role requires strong Python, SQL, experimentation, statistics, and cross-functional influence skills.

Own lifecycle conversion programs that turn free users into paying customers through experimentation, personalization, and AI-driven upsell experiences. Develop email, in-product, and push strategies; build statistically sound testing roadmaps; analyze behavioral and product data; and optimize revenue, retention, and lifetime value. Lead internationalization growth initiatives and support cross-product monetization across the Superhuman suite while partnering with marketing operations, data science, creative, and international teams.

Lead product design for Superhuman Docs, shaping product strategy and translating customer needs into clear, polished experiences. Collaborate with product managers and engineers to prototype, test, and iterate on AI-powered productivity features. Contribute to design-system patterns, work across discovery through high-fidelity execution, and partner with distributed teams across Porto, New York, and San Francisco.

Own the strategy, roadmap, and execution for a major area of Superhuman Go, an AI assistant. Partner with engineering, design, research, data science, and go-to-market teams to develop trusted AI experiences, platform capabilities, agents, integrations, and cross-device workflows. Define user journeys, metrics, experiments, and priorities while translating complex technical capabilities into intuitive products. Drive clarity and execution across interconnected teams and Superhuman’s product suite.

Lead full-cycle B2B sales growth across K12 and higher education markets. Manage pipelines, territory strategy, consultative selling, enterprise negotiations, RFPs, procurement, forecasting, and quota attainment. Coach sales teams, present AI-enabled education solutions to institutional leaders, navigate privacy and compliance concerns, and collaborate with Customer Success, Product, and Marketing.

Supports commercial contracting by triaging requests, reviewing and drafting NDAs, order forms, SOWs, and MSAs, escalating complex issues to senior counsel, maintaining contract records, and improving legal workflows, templates, playbooks, and CLM processes. Partners with Sales, Finance, Security, Product, and Legal Operations on routine contract questions, data privacy and security terms, and scalable self-service resources.