Customer Engineer

Mastra; San Francisco (CA); Remote; USD 140,000 - 230,000; Full time

Benefits offered by this job

Fully remote

Global team distribution

Job summary

Mastra is seeking a Customer Engineer who operates at the intersection of production reality and core platform design. You will blend forward deployment and core engineering, working directly with teams deploying agents in production and translating learnings into Mastra framework improvements.

You’ll move between hands-on customer collaboration and foundational platform work, turning real-world problems into durable primitives that benefit multiple accounts.

Qualifications

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

Responsibilities

• 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.
• 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 production insight.

Skills

Production AI

System thinking

Pattern recognition

Developer ergonomics

Ownership

Job description

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.