Software Engineer, Back-End - Mail (US)

Superhuman

12d•$154,000 - $214,000

About The Position

Superhuman is hiring a Back-End Engineer for its Mail team to build and operate the backend systems that power calendar, scheduling, AI-driven workflows, and product experiences across desktop, web, and mobile. The role focuses on modernizing the calendar backend, including calendar syncing, notification infrastructure, and APIs, while supporting agent-based features such as meeting notes and scheduling agents. The engineer will work with Go, Postgres, Kubernetes, and AWS, and may contribute across Superhuman’s product suite, including Go, Mail, Docs, and Enterprise. The position involves collaborating with product, ML/AI, and front-end engineers, and contributing to a culture emphasizing documentation, testing, and reliability. Superhuman provides engineers with opportunities to shape the product roadmap and technical direction.

Requirements

At least 5 years of back-end development experience.
Strong fundamentals in algorithms, data structures, and system design.
Experience building, deploying, and debugging production systems at scale.
Experience with AWS or another cloud platform such as GCP or Azure.
Comfort working with AI-powered systems, such as infrastructure for LLM-based features, agentic workflows, or ML pipeline integrations.
Fluency with AI coding tools such as Copilot, Cursor, or Claude Code, and a point of view on their effect on software development.
Deep understanding of CI/CD and infrastructure as code.
Ability to work independently, manage priorities across multiple projects, and collaborate effectively with cross-functional teams.
Strong product instincts and ability to balance speed and reliability in service of the end-user experience.

Nice To Haves

Prior experience building backend services for AI products.
Experience with real-time systems, event-driven architectures, or high-throughput API design.

Responsibilities

Build and operate high-throughput production services for AI agent orchestration, connector integrations, and real-time data pipelines.
Design and build core platform services, including task schedulers, session and conversation history, client-server protocols, and APIs connecting the AI engine to product surfaces.
Work across the Superhuman product suite, including Go, Mail, Docs, or Enterprise, based on team and product needs.
Collaborate with ML/AI, Product, and Front-End engineers to deliver AI-powered features end to end.
Build and evolve infrastructure as code to target high availability for consumer and enterprise customers.
Contribute to engineering practices emphasizing documentation, testing, and reliability.
Mentor and develop junior engineers on the team.