Product Engineer (Full Stack)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Product Engineer (Full Stack) based in Switzerland.

As a Product Engineer (Full Stack), you’ll play a central role in building a customer-facing B2B SaaS product at the intersection of generative AI and cybersecurity.

You’ll own features end to end, from polished React interfaces to APIs and database interactions.

Working as an early member of the engineering team, you’ll have significant autonomy and direct influence on technical and product decisions.

You’ll use a modern stack to create intuitive experiences for security professionals handling complex workflows.

The role combines hands-on engineering, performance optimization, architectural contribution, and rapid product iteration.

You’ll work closely with product, design, and engineering peers in an environment that values ownership, speed, and high-quality execution.

It’s an opportunity to help shape an AI-native product from the ground up while growing with an ambitious technical team.

Accountabilities

• Own end-to-end product feature development, covering front-end UI, API implementation, and database layers from concept through production.
• Build responsive, intuitive, and high-quality user experiences using React, TypeScript, TailwindCSS, and the TanStack ecosystem.
• Design, develop, and maintain performant REST APIs using Python/FastAPI, with a focus on scalability, maintainability, and clean architecture.
• Identify opportunities, make pragmatic technical decisions, and execute independently in a fast-moving startup environment.
• Optimize application performance across the stack, including database queries, API responsiveness, and front-end rendering.
• Contribute to technical architecture, engineering standards, and long-term decisions as the product and team scale.
• Balance rapid delivery with strong engineering practices, code quality, reliability, and customer experience.
• Collaborate effectively with product managers, designers, and engineers to translate customer needs into impactful product capabilities.

Requirements:

• 6+ years of professional experience building production applications with strong full-stack development capabilities.
• Deep hands-on experience with TypeScript and React or another modern component-based front-end framework.
• Proven experience designing and developing performant RESTful APIs and scalable backend services.
• Professional experience in B2B SaaS environments, particularly products serving business or enterprise users.
• Strong understanding of databases, data access patterns, and query optimization, with the ability to anticipate and address performance issues.
• Demonstrated ability to work autonomously, take ownership, operate with a bias for action, and make sound technical decisions in ambiguous environments.
• Strong attention to detail, with the ability to maintain high standards for customer experience and code quality while delivering at speed.
• Excellent collaboration and communication skills, with confidence working independently while partnering closely with cross-functional teams.
• Experience with Python and FastAPI is highly desirable.
• Familiarity with Kubernetes/EKS, PostgreSQL performance tuning, Temporal, cloud infrastructure, or infrastructure-as-code tools is an advantage.
• Experience integrating LLMs or AI capabilities into production applications is a plus.
• Familiarity with TailwindCSS, TanStack Router/Query/Table, shadcn/ui, Radix UI, design systems, or component libraries is beneficial.

Benefits:

• Fully remote working opportunity with flexibility in where and when you work.
• High level of autonomy and trust, with freedom to determine how best to solve problems.
• Minimal bureaucracy and a strong focus on efficient, sustainable execution.
• Opportunity to work with an experienced team with backgrounds in Big Tech and high-growth companies.
• Meaningful work at the intersection of generative AI and cybersecurity, helping security teams address real-world threats.
• Significant technical ownership, including responsibility for your own API layer and opportunities to influence architecture.
• Opportunity to help establish engineering practices and product foundations within an AI-native company.
• Flexible time off designed to support rest and sustainable performance.
• Opportunity for professional growth as the engineering organization and product scale.