Jobs at Superhuman

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.

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.

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.

Build and own scalable finance and revenue data pipelines, models, and datasets supporting ARR, NRR, bookings, billing, and revenue attribution. Ensure data quality, reliability, monitoring, reconciliation, and self-service access while partnering with Finance, Revenue Operations, Analytics, Product, and Engineering.

Design, build, and operate large-scale ETL pipelines, data lakes, and data platforms processing billions of daily events. Own data quality, freshness, reliability, monitoring, and observability for foundational datasets. Develop self-service ETL frameworks and tooling, contribute to architecture and technical strategy, and partner with product, engineering, machine learning, data science, and leadership teams to deliver scalable data solutions.

Build and lead scalable data governance systems across the data platform, including privacy policy enforcement, metadata and lineage management, data security, regulatory compliance, and purpose-driven access. Architect reliable systems for high-volume data environments, shape technical strategy and roadmaps, collaborate with Privacy, Legal, Security, and Trust teams, and mentor engineers across backend infrastructure and data engineering.

The Software Engineer will enhance the structured data storage layer in Superhuman Docs, ensuring database reliability, performance, and correct data handling under varying workloads. Responsibilities include improving table management, server-side query planning, and collaborating on formula and sync processes.

Lead product management for Superhuman's admin console, enhancing the buyer journey and streamlining admin experiences for enterprises, ensuring security and compliance.

As a Full-Stack Engineer at Superhuman, you will develop core product features, infrastructure, and collaborate with teams to enhance user experience, focusing on both front-end and back-end services.

As a Front-End Software Engineer, you will build AI-powered interfaces, tackle complex design problems, and collaborate across teams to enhance user experiences. Responsibilities include mentoring, implementing responsive UI, and engaging with AI technologies.

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.

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.

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.

Own the architecture and evolution of Salesforce and the broader GTM technology stack. Design integrations across CRM, quoting, compensation, billing, marketing automation, conversation intelligence, and data warehousing. Build trusted GTM data foundations and AI-native workflows, develop integrations with company products, and lead technical designs for GTM initiatives. Partner with Sales Operations, product, engineering, and AI teams while delivering maintainable systems for the GTM Systems team.

Own SEO and AEO initiatives across multiple domains, driving organic visibility, qualified traffic, conversions, and AI-search presence. Conduct keyword, competitor, technical, and performance analysis; recommend content, metadata, site structure, and structured-data improvements; partner with content, marketing, web, engineering, and analytics teams; support launches and offsite authority efforts; measure search visibility, citations, mentions, and business impact; and communicate actionable findings to stakeholders.

Provide legal counsel across product lifecycle for AI agents and SaaS products, triage and resolve legal issues, advise Product/Design/Engineering/Marketing, manage IP, monitor AI/privacy regulations, build scalable compliance processes, and deliver training.

Lead top-of-funnel and brand advertising strategy, budgets, media planning, agency relationships, creative execution, and measurement across Grammarly and Superhuman’s multi-brand portfolio. Manage TV, CTV, OOH, digital video, influencer, and audio investments; partner with data science on incrementality and brand lift; develop strategic frameworks; and lead, mentor, and grow a team of brand advertising marketers.

Owns customer marketing and advocacy programs across Superhuman’s product suite. Responsibilities include recruiting customer advocates, producing case studies and testimonials, managing proof-asset libraries, prioritizing customer story pipelines, coordinating multimedia production, and partnering with Sales, Customer Success, Product Marketing, Demand Gen, Brand, Content, and PR to support go-to-market campaigns.

Lead and develop a team of eight Account Executives for the Commercial (Mid-Market) segment. Drive quota attainment, coaching, forecasting, pipeline accuracy in Salesforce, hiring and onboarding, cross-functional GTM execution, and streamline sales processes while occasionally acting as a player-coach in customer negotiations.

The Enterprise Account Executive will drive sales and expansion within the Enterprise segment, focusing on large accounts. Responsibilities include managing the full sales cycle, building executive relationships, navigating complex deal cycles, and collaborating with cross-functional teams to establish a foundation for future sales processes.