Customer Engineer
AI in this role
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 itself.
What You’ll Own
With 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.
Who This Is For
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.
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.
Hiring Process
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.
About Mastra
Mastra is the open-source TypeScript framework for building AI agents. Built by the team behind Gatsby, backed by Y Combinator and Spark Capital, with $35M raised total. We went from 0 to 27k+ stars and 1M+ weekly npm downloads in under 18 months.
Small team, shipping fast, fully remote. Most of us work across North American and European time zones.
How we score this
Customer Engineer at Mastra scores 13 out of 100 for how much of the daily work is AI. That makes it AI Level 1 of 4 (Little AI). The level is about AI in the job, not seniority.
AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.
- AI Level 480 to 100
- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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