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 most companies, research demand far exceeds supply. Time, cost, and lack of access to expertise hold teams back. 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.
That’s why Maze was recently named the #1 user research platform in UX Tools’ Design Tools Survey—and why 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.
The RoleAs 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.
Location: Remote, Preference for USA/East Coast, United Kingdom, or Portugal. The company's key engineering and product teams are based in Europe and Portugal.
What You'll Do:Technical Leadership & ArchitectureDesign 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
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
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
Partner with product teams to understand their requirements 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/TypeScript monostack development
Influence technical strategy across the organization through technical leadership and expertise
Research and evaluate emerging AI technologies, frameworks, and development practices
Prototype new developer tools and workflows that improve AI development velocity
Drive adoption of best practices for AI model lifecycle management, versioning, and governance
Contribute to technical strategy and roadmap for AI infrastructure and tooling
8+ years of software engineering experience with a track record of building scalable, production systems
3+ years of experience specifically in Developer Experience or Platform Engineering
Experience with teams working in a TypeScript monorepo that have built complex web applications
Strong AWS Cloud experience and architectures
Proven track record of enabling team velocity and quality through technical leadership and tooling improvements
Demonstrated ability to make teams faster and more productive through technical improvements
Experience mentoring engineers and raising the technical bar across an organization
Strong communication skills with ability to explain complex technical concepts to diverse audiences
Track record of making pragmatic technical decisions that balance innovation with stability
Experience influencing technical strategy and driving adoption of best practices across teams
Hands-on experience with conceived the deployment, monitoring, and lifecycle management of complex web applications
Understanding of AI model optimization and production challenges
Knowledge of modern TypeScript tooling, build systems, and testing frameworks
Experience crafting, fine tuning and optimizing developer setup and tools, internal platforms, or infrastructure systems
Bias for action with ability to move quickly in a fast-paced, ambiguous environment
Passion for developer experience and building tools that enable others to be productive
Growth mindset with eagerness to learn and adapt in the rapidly evolving AI landscape
Collaborative approach with ability to work effectively across time zones in a remote-first environment
Strong problem-solving skills with focus on pragmatic solutions that deliver business value
Background in user research, analytics, or related domains
Experience with A/B testing frameworks and experimentation platforms
Contributions to open-source AI/ML projects or developer tools
Knowledge of AI safety, bias detection, and responsible AI practices
Experience building production ready MCP servers
At Maze, we are dedicated to building an equitable, inclusive, and authentic workspace. Unique and diverse perspectives are welcomed, and continuous growth is encouraged. We believe that people are more than their resumes, so if your past experience looks different than the criteria listed, we'd still love to hear from you. We appreciate and celebrate non-traditional life routes and encourage you to apply should you connect with a job description or the Maze culture.
Maze values transparency and it enables us to approach compensation equitably across the world. We are informed by data and regularly check our salary ranges (either United States or Rest of World) against other venture backed companies. Additionally, we are proud of our holistic and generous benefits offerings, included in every compensation package.
Your salary is dependent upon many factors, including years of experience, expertise, etc. During your first interview, you can expect to have an open conversation with your recruiter regarding your compensation expectations.
Why Maze is uniqueEarly-stage startup: You will join an early-stage startup with less than 150 team members. This means you'll have the unique opportunity to directly impact success and help shape the future of Maze.
Market disruption: We believe that the way companies build products is fundamentally broken and the user research market is ripe for disruption. For too long, companies have been forced to choose between rapid development without user insights or investing months into research before bringing products to market. But there's finally a groundswell building around a path forward that eliminates this compromise - and Maze is leading the charge.
Product-market Fit: Maze is used by 100,000+ brands across 4,000 companies, from SMB to enterprises, and in the last fiscal year, we saw 6.5M questions answered, supporting 25K decisions
Health insurance with international coverage, vision, and dental: 100% of the team member premium paid
For some locations, coverage options vary, please see our benefits pages for more information
Free access to proper mental health care, unlimited virtual therapy sessions (with a human) and 24/7 access to resources
Life and Disability Insurance, 100% of the team member premium paid
Flexible time off
Meaningful equity
Company retreats, fully paid for by Maze
New MacBook (laptop), paid for by Maze
Paid Family leave: 16 weeks for birth or adoptive parents
$500/month to be used for dependent health insurance coverage
If you don't have dependents to add to your plan, you will still get access to this money to be used at your discretion to get the benefits that matter to you with our flexible a-maze-ing benefits - gym memberships, co-working spaces, food, travel, whatever!
$1,500 remote work setup fund to ensure you can set up a productive work space
Flexible work schedule where you manage your own working hours
Monthly Bonus.ly points that are awarded to others to recognize teamwork, dedication and helpfulness - points can be cashed out for gift cards and more
Virtual social engagements randomly throughout the year
SWAG, we have some really cool swag
Open, transparent culture that includes virtual: coffee chats, bi-weekly all-hands meetings, and more
Check out all of our a-maze-ing benefits here.
Outreach NoticeWe understand you might be excited about the job you’re applying for, we are excited you are interested! However, please refrain from reaching out to our current team members on LinkedIn for referrals. Our policy is that referrals can only be provided by team members who personally know the candidate. With the high volume of interest in our roles, contacting our team members who are not involved in recruitment can be overwhelming. Additionally, please avoid submitting support tickets regarding your application, as our support team is not involved in the hiring process. Rest assured, our recruitment team is diligently reviewing all applications and will reach out directly if there is a match.
