Engineering Manager, Go - Docs AI

Superhuman • San Francisco, CA

6d • Hybrid

About The Position

Superhuman is seeking an Engineering Manager to lead the Coda Docs AI team. This team is responsible for developing the native AI capabilities that enhance Coda Docs, an AI productivity platform. The role involves leading a team of 6-7 engineers, defining the technical direction for the native AI agent, driving the development of the MCP API for external AI client integration, and shaping the overall AI user experience within the product. The team is crucial for the upcoming Coda Docs 1.0 launch and aims to surpass competitors like Notion AI with a superior AI experience. The position requires a blend of technical expertise in AI and LLMs, strong product engineering instincts, and the ability to manage and grow a team in a fast-paced, evolving environment.

Requirements

• 3+ years of engineering management experience leading teams of 5+ engineers, with a track record of hiring, developing, and retaining strong talent.
• Deep hands-on technical background with strong AI literacy — you understand how LLMs work, can evaluate agent architectures, and reason about prompt engineering tradeoffs.
• You need to be able to go deep with your engineers on agent design decisions.
• Critically, you have strong instincts about AI quality measurement — you know how to build eval frameworks, design golden datasets, and create feedback loops that systematically improve AI output rather than relying on spot-checking.
• Experience building and shipping user-facing AI or AI-adjacent products — chat interfaces, copilots, assistants, recommendation systems, or intelligent features that real users interact with.
• Ideally you've seen what it takes to get AI from "cool demo" to "reliable product."
• Strong product engineering instincts — you care about user experience, you understand that the best AI features are the ones that feel invisible, and you can balance polish with speed.
• Experience operating in fast-moving, high-ambiguity environments where the product direction evolves quickly and you need to make tradeoffs between foundational investment and shipping.
• Familiarity with modern AI infrastructure: LLM APIs, agent frameworks, tool-use patterns, evaluation pipelines, prompt management.
• Communicates clearly and influences effectively across engineering, product, design, and leadership.

Nice To Haves

• Experience with MCP (Model Context Protocol) is a plus.

Responsibilities

• Lead and grow a team of 6-7 engineers, providing mentorship, career development, and building a culture of technical excellence and rapid iteration.
• Own the technical direction for the native AI agent — from the agent loop architecture and tool framework through prompt engineering, context management, and multi-turn conversation design.
• Bring strong instincts about how to measure whether the agent is actually good — building eval pipelines, defining golden datasets, and using data (not vibes) to drive improvement.
• Drive the development of the MCP api that connects Coda Docs to external AI clients (Claude, Cursor, ChatGPT), including tool design, authentication, rate limiting, and enterprise security posture.
• Shape how AI shows up across the product — in-doc chat, workspace home, formula assistance, writing help, and table creation — ensuring a cohesive, delightful user experience that doesn't feel bolted on.
• Collaborate closely with PM, design, and the broader Docs engineering organization to sequence AI capabilities against launch milestones and user needs.
• Make pragmatic architecture decisions at the intersection of the Coda backend, the Go agent platform, and LLM providers — deciding when to build natively vs. integrate, when to use client-side vs. server-side tool execution, and how to unify agent surfaces over time.
• Be deeply involved technically — participating in architecture reviews, contributing to system design, reviewing code, and occasionally sending PRs.

Benefits

• Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
• Disability and life insurance options
• 401(k) and RRSP matching
• Paid parental leave
• 20 days of paid time off per year
• 12 days of paid holidays per year
• Two floating holidays per year
• Flexible sick time
• Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)
• Annual professional development budget and opportunities

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed