About this role.
Maze is seeking a senior full-stack Product Engineer to own customer-facing B2B SaaS features from React user interfaces through Python/FastAPI services and database layers. The role emphasizes autonomous delivery, fast iteration, product quality, and performance optimization in an early-stage startup building generative-AI-powered cybersecurity products. Candidates need 6+ years of production full-stack experience, particularly TypeScript, React, REST APIs, scalable architecture, and database query optimization. Familiarity with Python, FastAPI, PostgreSQL, Kubernetes/EKS, Temporal, LLM integrations, and modern frontend tooling is advantageous. This is a Europe-remote, full-time role with broad end-to-end technical ownership.
Role DNA
A quick view of the complexity, pace, ownership and collaboration implied by the job description.
Job Complexity
5/5Pace & Pressure
5/5Autonomy Level
5/5Communication Load
4/5Salary analysis
Estimated compensation compared with the broader EU market for similar roles.
Core skills
Skills and capabilities most closely associated with this opportunity.
Sample interview questions
I would outline the customer problem, technical design, implementation across the frontend and backend, data-model decisions, testing approach, release process, and measurable product or performance outcome. I would also explain trade-offs made to ship quickly without compromising reliability.
I start by measuring end-to-end latency and inspecting traces, query plans, and database load. I then address common causes such as missing indexes, N+1 queries, unnecessary payloads, inefficient joins, and unbounded pagination, validating each change with benchmarks and production monitoring.
I would first understand the users' decisions, risks, and most frequent paths, then structure the interface around clear hierarchy and progressive disclosure. I would use reusable components, predictable server-state handling, responsive loading and error states, and feedback from users to refine the workflow.
I would explain how I identified the irreversible versus reversible parts of the decision, aligned quickly with relevant stakeholders, documented assumptions, and delivered a small validated version. I would emphasize communicating risk early and using customer or operational feedback to iterate.
Key considerations include data privacy and access controls, prompt and output reliability, latency and cost management, observability, evaluation criteria, fallback behavior, and clear user experience around uncertainty. For security users, I would also ensure auditability and avoid presenting model output as unquestioned truth.
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 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.
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.
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.
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.
Upload your resume now
- To unlock remote work opportunities and be discovered by global employers.
This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.
