Staff Engineer - Developer Experience

Salary: $159.7K - $234.8K Employment Type: Full-Time Location Type: Remote (Preference for USA/East Coast, United Kingdom, or Portugal)

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About Maze

Maze is the user research platform that helps companies build the right products faster by making user insights available at the speed of product development. In today’s AI-powered world, anyone can build a product fast. The real challenge? Deeply understanding user needs and building the right product. That’s where Maze comes in.

We believe companies shouldn’t have to choose between building fast and building right. Maze makes research accessible, intuitive, and fast so product teams can put user insights at the center of every decision. Our platform enables researchers, designers, and product managers to quickly recruit participants, run studies autonomously, and surface insights that actually drive product decisions. Our AI capabilities automate the busywork and add depth and direction to the insights themselves.

Maze was recently named the #1 user research platform in UX Tools’ Design Tools Survey—and we’re scaling fast across industries like B2B SaaS, e-Commerce, Financial Services, Retail, and Automotive, supporting world-class customers such as Uber, Amazon, Atlassian, Anthropic & more.

Maze is a Series B company backed by top-tier investors (Felicis, Emergence & Amplify). We operate a global remote workforce driven by our core values.

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The Role

As a Staff Engineer on the Developer Experience team, you'll be the technical enabler of our AI future. You'll work at the intersection of infrastructure, tooling, and AI systems to create the developer experience that allows our engineering teams to build, deploy, and iterate on AI features at scale. This is a hands-on technical leadership role where you'll both architect solutions and write code while mentoring engineers across the organization.

You'll have a proven track record of enabling teams to move faster and deliver higher quality through technical leadership, developer tooling, and infrastructure improvements.

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What You'll Do

Technical Leadership & Architecture

• Design and build developer tools, frameworks, and infrastructure that enable rapid software development.
• Architect scalable pipelines, low-latency infrastructure, and testing platforms; preferably using AWS services.
• Lead technical decisions around AI tooling and developer workflows.
• Drive technical standards and best practices for AI development across engineering teams.
• Help establish technical roadmaps that balance innovation with stability and developer productivity.

AI Enablement & Developer Experience

• Ensure the local development environment is developer-friendly, and that onboarding and documentation for services are up to date.
• Establish CI/CD pipelines optimized for AI workloads.
• Design monitoring, observability, and debugging tools for AI systems that improve developer velocity.
• Build automation and tooling that reduces manual work and accelerates feature delivery.

Team Enablement & Speed

• Identify and eliminate friction points in the development process that slow down engineering teams.
• Build and optimize development workflows, testing frameworks, and deployment processes.
• Create self-service tools and platforms that enable teams to be autonomous and move faster.
• Implement metrics and monitoring to measure and improve team velocity and code quality.
• Drive adoption of best practices that improve both development speed and software quality.

Cross-Functional Collaboration

• Partner with product teams to understand their requirements and ensure they have the necessary infrastructure in place to succeed.
• Collaborate with infrastructure teams to ensure scalable AI infrastructure on AWS.
• Mentor and guide engineers across teams on AI best practices, tooling, and JavaScript.