Maze - Product Engineer (Full Stack)
Requirements
• Proven Full Stack Experience: 6+ years building production applications with strong command of both front-end and back-end development—you must be genuinely skilled at both, not primarily one with dabbling in the other • Strong TypeScript and React Expertise: Deep, hands-on experience with TypeScript and React (or other modern component-based frameworks) in production environments, with strong understanding of component architecture, performance optimization, and modern patterns • Strong TypeScript and React Expertise: • Performant RESTful API Development: Proven track record building performant RESTful APIs with server-side frameworks, with experience designing scalable API architectures, optimizing endpoint performance, and building maintainable backend services • Performant RESTful API Development: • B2B SaaS Background: Direct experience in B2B SaaS product companies where you've built features for business users, understanding the unique requirements of enterprise product development and customer-facing applications • B2B SaaS Background: • Database Performance Intuition: Strong understanding of database interactions and query optimization—you instinctively know when a query might blow up and how to structure data access for performance at scale • Database Performance Intuition: • Startup Velocity Mindset: Thrives in fast-paced, ambiguous environments with bias for action—you "just go get it, go do it" without waiting for perfect specs, comfortable making pragmatic technical decisions quickly • Startup Velocity Mindset: • Attention to Detail with Speed: Exceptional balance of moving fast while caring deeply about customer experience and code quality—you build things right the first time while maintaining velocity • Attention to Detail with Speed: • Collaborative Independence: Comfortable working autonomously and owning your work end-to-end, while also collaborating effectively with designers, product managers, and other engineers when needed • Collaborative Independence: • Python and FastAPI experience for our backend stack • Kubernetes/EKS experience for understanding our deployment environment and infrastructure • Temporal workflow orchestration experience for complex, distributed workflows • Experience integrating LLMs into applications, understanding how to build AI-powered features into production products • Experience with our specific front-end stack: TailwindCSS, TanStack ecosystem (Router, Query, Table), shadcn/ui, Radix UI • Infrastructure knowledge and comfort working with cloud platforms or infrastructure-as-code tools • Design system or component library development experience • Background at technical B2B SaaS companies where product velocity and customer experience were primary drivers
Benefits
• EuropeTotal Salary €100K – €160K • 0.1% – 0.2% • Ambitious Challenge: We're using generative AI (LLMs and agents) to solve some of the most pressing challenges in cybersecurity today. You'll be building the product experiences that security teams interact with daily, creating intuitive interfaces for breakthrough AI-powered solutions. • Ambitious Challenge: • Expert Team: We are a team of hands-on leaders with experience in Big Tech and Scale-ups. Our team has been part of the leadership teams behind multiple acquisitions and an IPO. • Expert Team: • Impactful Work: Cybersecurity is a force for good - helping to stop cyber attacks ultimately helps deliver better outcomes for all of us. Your work will directly enable security teams to protect organizations worldwide from real threats. • Impactful Work: • Build an AI-Native Company: We're building a new company in the AI era with the opportunity to design everything from the ground up - you'll work with a modern, carefully chosen tech stack and help establish engineering practices that scale with us through hypergrowth. • Build an AI-Native Company: • Technical Ownership and Growth: True end-to-end ownership with your own API layer, freedom to make architectural decisions, and opportunity to grow into front-end architectural leadership as we scale the team and product. • Technical Ownership and Growth:
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