Maze is an AI-native cloud security platform that deploys autonomous, human-analyst-like agents to investigate, triage, and automatically remediate vulnerabilities, initially focused on investigation and resolution.
Summary of the Role: As Product Engineer (Full Stack) at Maze, you'll be the technical force behind our customer-facing product experience, owning the complete stack from UI to API while moving at startup velocity. This is a unique opportunity to join as one of the early engineering team members of a well-funded startup building at the intersection of generative AI and cybersecurity. You'll work alongside our full stack product team with significant autonomy, owning your own API layer that powers the React application, enabling you to move fast and deliver exceptional experiences without dependencies or blockers. You'll take full ownership of feature development from concept to production, building both the elegant UI components that security teams interact with daily and the robust API infrastructure that makes it all work. Your success will be measured by delivery velocity, product quality, autonomous execution, and the customer experience you create—not by process adherence or ticket completion. This role is perfect for a hands-on full stack engineer who has thrived in fast-paced B2B SaaS environments, values independence and ownership, and wants to build something extraordinary with a modern tech stack from the ground up. Your Contributions to Our Journey: - Own Product Feature Development: Take complete ownership of features from front-end UI through to API implementation and database layer, delivering end-to-end functionality that delights customers and drives product adoption - Build with Modern Front-End Excellence: Craft exceptional user experiences using React, TypeScript, TailwindCSS, and the TanStack ecosystem (Router, Query, Table), creating intuitive interfaces for complex security workflows with attention to detail and performance - Design and Maintain API Infrastructure: Build and own performant REST APIs using our Python/FastAPI backend, ensuring scalable, maintainable services that power the front-end while maintaining clean architecture and performance optimization - Drive Autonomous Execution: Operate with high independence and startup energy—identify what needs building, make technical decisions quickly, and execute without waiting for perfect requirements or extensive process - Optimize for Performance and Scale: Continuously improve application performance across the stack, from database query optimization to front-end rendering efficiency, ensuring our platform scales elegantly as we grow - Contribute to Architectural Decisions: Participate in technical discussions and architectural planning, bringing your experience to help shape our front-end architecture and potentially grow into owning architectural decisions as the team scales - Balance Speed with Quality: Move at startup pace while maintaining high standards—ship features rapidly, gather feedback, iterate quickly, but never compromise on code quality or customer experience What You Need to Be Successful: - Proven Full Stack Product 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 - 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 - 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 - 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 - 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 - 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 - 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 - Nice to Haves: - 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 - PostgreSQL optimization skills and experience with database performance tuning at scale - 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 Why Join Us: - 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. - Expert Tea