AI Platform Engineer

SUPERHUMAN MAIL

We exist so that professionals end each day feeling happier, more productive, and closer to achieving their potential.

Our customers get through their inboxes twice as fast; many see inbox zero for the first time in years.

Today we are…

• The fastest email experience in the world
• Loved and adored: see what our customers say

We've joined forces with Grammarly to build the AI-native productivity suite of the future, with Superhuman as the central communication layer. This partnership accelerates our mission to help professionals achieve their potential — now at even greater scale.

Come shape the future of email, communication, and productivity!

BUILD LOVE

At Superhuman, we deeply understand how to build products that people love. We incorporate fun and play; we infuse magic and joy; we make experiences that amaze and delight.

CREATE MASSIVE IMPACT

We're not solving a small problem, and we're not addressing a small market. We're going after email; the one activity that consumes more of our work day than any other.

Our ambition doesn't stop there. Next: calendars, notes, contacts, and team communication. We are building the productivity platform of the future.

DO THE BEST WORK OF YOUR LIFE

We have created the frameworks for how to build product market fit and redefined the narrative of how to onboard customers successfully. We have shown the world it’s possible to build a premium productivity brand. Our investors included Andreessen Horowitz, First Round Capital, IVP, Tiger Global Management, Sam Altman, and the founders of Gmail, Dropbox, Reddit, Discord, Stripe, GitHub, AngelList, and Intercom.

This time, we’re swinging beyond the fences and fundamentally rethinking how individuals and teams should collaborate. We are building a household brand and a worldwide organization. We are here to do the best work of our lives, and we hope you are too.

ROLE ‍‍

• Own the observability and lifecycle management of AI features across the organization
• Build tools and infrastructure to enable teams to develop, monitor, and optimize LLM-powered features
• Design and implement closed-loop evaluation pipelines that automatically validate prompt changes
• Develop comprehensive metrics and dashboards to track LLM usage: cost per feature, token patterns, and latency.
• Create systems that tie user feedback to specific prompts and LLM calls
• Establish best practices and processes for the full lifecycle of prompts: development, testing, deployment, and monitoring
• Collaborate with engineering teams across the org to ensure they have the tools and visibility needed to build high-quality AI features
• Technologies we use: Go, Postgres, Kubernetes, Google Cloud, various LLM providers (OpenAI, Anthropic, Google Vertex)

SOUND LIKE YOU?

• Experience: You have 4+ years of software development experience with a focus on backend engineering, DevOps, ML Ops, or SRE work. You're proficient in at least one back-end programming language (ideally Go). You have hands-on experience with observability, metrics, and monitoring systems.
• AI Enthusiast: You believe AI will revolutionize how we work as well as the experiences that we create for our customers. Driven by passion and curiosity, you leverage AI to dramatically increase your own productivity and the impact of your team.
• Metrics-Driven: You understand percentiles (P90, P95), know how to build meaningful dashboards, and can turn raw data into actionable insights. You've worked with monitoring and observability tools.
• Systems Thinker: You think in terms of pipelines, lifecycles, and closed loops. You know how to build scalable infrastructure that enables other teams to move faster.
• Remarkable Quality: You produce work that is striking, worthy of attention, and a contribution to the state of the art.<