Staff FullStack Engineer (Developer Experience)
Offer summary
Qualifications:
8+ years of software engineering experience with scalable, production systems., 3+ years of experience in Developer Experience or Platform Engineering., Strong AWS Cloud architecture knowledge and experience., Hands-on experience with TypeScript monorepos and complex web applications..Key responsibilities:
- Design and build developer tools, frameworks, and infrastructure for AI features.
- Lead technical decisions around AI tooling and developer workflows.
- Establish CI/CD pipelines optimized for AI workloads.
- Mentor engineers and collaborate with cross-functional teams on technical strategy.
Job description
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 most companies, research demand far exceeds supply. Time, cost, and lack of access to expertise hold teams back. In today’s AIpowered 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, eCommerce, Financial Services, Retail, and Automotive, supporting world class customers such as Uber, Amazon, Atlassian, Anthropic & more.
Maze is a Series B company backed by toptier investors (Felicis, Emergence & Amplify). We operate a global remote workforce driven by our core values.
The Role As a Staff Engineer on the Developer Experience team, youll be the technical enabler of our AI future. Youll 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 handson technical leadership role where youll both architect solutions and write code while mentoring engineers across the organization.
Youll 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 USAEast Coast, United Kingdom, or Portugal. The companys key engineering and product teams are based in Europe and Portugal.
What Youll Do:Technical Leadership & Architecture
Design and build developer tools, frameworks, and infrastructure that enable rapid software development
Architect scalable pipelines, lowlatency 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 developerfriendly, and that onboarding and documentation for services are up to date
Establish CICD 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 selfservice 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
CrossFunctional Collaboration
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 JavaScriptTypeScript monostack development
Influence technical strategy across the organization through technical leadership and expertise
Technical Innovation
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
What Were Looking For:
Experience & Technical Excellence
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
Leadership & Impact
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
Developer Experience Expertise
Handson 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
Mindset & Culture
Bias for action with ability to move quickly in a fastpaced, 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 remotefirst environment
Strong problemsolving skills with focus on pragmatic solutions that deliver business value
Nice to Have:
Background in user research, analytics, or related domains
Experience with AB testing frameworks and experimentation platforms
Contributions to opensource AIML projects or developer tools
Knowledge of AI safety, bias detection, and responsible AI practices
Experience building production ready MCP servers
Inclusivity and Pay
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, wed still love to hear from you. We appreciate and celebrate nontraditional 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 unique
Earlystage startup: You will join an earlystage startup with less than 150 team members. This means youll 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 theres finally a groundswell building around a path forward that eliminates this compromise and Maze is leading the charge.
Productmarket 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
BenefitsHealth 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
Life and Disability Insurance, 100% of the team member premium paid
$500month to be used for dependent health insurance coverage
$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
Open, transparent culture that includes virtual: coffee chats, biweekly allhands meetings, and more
Check out all of our amazeing 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.
Design and build developer tools, frameworks, and infrastructure that enable rapid software development
Architect scalable pipelines, lowlatency 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 developerfriendly, and that onboarding and documentation for services are up to date
Establish CICD 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 selfservice 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 JavaScriptTypeScript 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
Handson 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 fastpaced, 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 remotefirst environment
Strong problemsolving skills with focus on pragmatic solutions that deliver business value
Background in user research, analytics, or related domains
Experience with AB testing frameworks and experimentation platforms
Contributions to opensource AIML projects or developer tools
Knowledge of AI safety, bias detection, and responsible AI practices
Experience building production ready MCP servers
Inclusivity and Pay
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, wed still love to hear from you. We appreciate and celebrate nontraditional 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.
Earlystage startup: You will join an earlystage startup with less than 150 team members. This means youll 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 theres finally a groundswell building around a path forward that eliminates this compromise and Maze is leading the charge.
Productmarket 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
Life and Disability Insurance, 100% of the team member premium paid
$500month to be used for dependent health insurance coverage
$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
Open, transparent culture that includes virtual: coffee chats, biweekly allhands meetings, and more
Check out all of our amazeing benefits here.
Outreach Notice
We 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.
Benefits
Nice to Have:
Why Maze is unique
Mindset & Culture
Developer Experience Expertise
Leadership & Impact
What Were Looking For:
Experience & Technical Excellence
Technical Innovation
CrossFunctional Collaboration
Team Enablement & Speed
AI Enablement & Developer Experience
Required profile
Experience
Hard Skills
Other Skills
- Growth Mindedness
- Collaboration
- Communication
- Problem Solving
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