About the job
About Maze
Maze is the innovative user research platform that empowers companies to accelerate product development by providing rapid access to user insights.
In a world where research needs often outstrip availability, Maze addresses the challenges of time, cost, and expertise accessibility that hinder teams. In today's AI-driven landscape, speed is not enough; understanding user needs deeply is crucial to creating the right product. That’s where Maze excels.
We believe that companies can and should achieve both speed and accuracy in product development. Maze makes research straightforward, intuitive, and swift, allowing product teams to prioritize user insights in every decision-making process.
Our platform equips researchers, designers, and product managers with the tools to swiftly recruit participants, conduct studies autonomously, and unveil insights that genuinely inform product decisions. Our AI capabilities streamline repetitive tasks while enriching the insights gathered.
Maze has been recognized as the #1 user research platform in UX Tools’ Design Tools Survey, and we are rapidly expanding across sectors such as B2B SaaS, e-Commerce, Financial Services, Retail, and Automotive, serving esteemed clients including Uber, Amazon, Atlassian, Anthropic, and more.
Maze is a Series B company supported by prominent investors (Felicis, Emergence & Amplify), fostering a global remote workforce driven by our core values.
The Role
As a Full Stack Software Engineer within the Product Engineering team, you will create and implement impactful features, collaborating closely with product managers, designers, and fellow engineers to address intricate challenges, develop scalable solutions, and ensure our systems remain maintainable and high-performing.
You will take full ownership of projects from their inception through to production, contribute to architectural decisions, produce high-quality code, and elevate the technical standards by sharing knowledge and best practices with your colleagues.
Location: Remote, with a preference for candidates in the United Kingdom or Portugal. Key engineering and product teams are based in Europe and Portugal.
Responsibilities:
Developing elegant features that enable user researchers to analyze and derive valuable insights from qualitative data, employing both traditional techniques and advanced AI-driven methods.

