Customer Engineer

Role Summary

Mastra is hiring a Customer Engineer who operates at the intersection of production reality and core platform design.

This role blends forward deployment and core engineering. You will work directly with teams deploying agents in production and translate what you learn into improvements in the Mastra framework https://github.com/mastra-ai/mastra itself.

WHY THIS ROLE IS DIFFERENT

Most companies separate customer-facing engineering from core product engineering. We don’t. The best platform improvements come directly from real-world usage. This role exists to compress that loop. If you want to work on real systems and influence the primitives that define how agent infrastructure is built, this is that role.

Responsibilities

With Customers https: //mastra.ai/customers

• Collaborate directly with customer teams building real agent systems
• Design and implement agents alongside their engineers
• Improve reliability, eval strategies, monitoring, and scaling approaches
• Help teams move from prototype to durable systems
• Train and upskill customers to become Mastra experts
• Share patterns and best practices across accounts

When agents break or systems stall, you help make them stronger and more repeatable.

In the Core Framework

• Turn recurring customer challenges into OSS improvements
• Fix reliability and performance issues
• Ship new primitives and refine existing ones
• Raise the quality bar across the codebase
• Contribute to roadmap direction through firsthand production insight

You’ll convert real-world friction into durable primitives.

Requirements

This role is for engineers who

• Have built and operated AI systems in production
• Can move from implementation details to system-level thinking
• See patterns where others see one-off issues
• Care deeply about developer ergonomics
• Prefer ownership over narrow scope

You should be comfortable moving between hands-on customer collaboration and foundational platform design.

About the Company

ABOUT MASTRA

Mastra is the open-source TypeScript framework for building AI agents. Built by the team behind Gatsby, backed by Y Combinator https://www.ycombinator.com and Spark Capital https://www.sparkcapital.com, with $35M raised total. We went from 0 to 27k+ stars https://github.com/mastra-ai/mastra and 1M+ weekly npm downloads https://npmtrends.com/@mastra/core in under 18 months.

Small team, shipping fast, fully remote. Most of us work across North American and European time zones.

Additional Information

1. Intro call with our recruiter
2. Hiring Manager Interview. Call with Shane Thomas, our co-founder and CPO, who leads customer engineering.
3. Peer Interview. Conversation with one of our customer engineers you'd be working alongside.
4. Take-home project `+ project review with our customer engineering team.