Frontend Engineer, PayZen

• 3+ years of experience in software development, including at least 1 year of success in a 0-to-1 product environment
• 3+ years of experience in using React.js
• Strong understanding of user experience, product strategy, and scalable database design
• A collaborative mindset and excellent communication skills, both written and verbal
• A track record of designing, building, and deploying high-quality, customer-focused solutions
• Experience with testing platforms, unit testing, and clean, maintainable code

• Collaborate with product managers and engineers to design and build user-centric products that make a meaningful impact on people's lives
• Write reusable, testable, and efficient code while adhering to best practices for maintainability and performance
• Develop new features and user interfaces with a mobile-first approach, ensuring seamless experiences across devices
• Contribute to the architecture and design of the product, participating in technical discussions and decision-making processes
• Solve complex technical challenges, including creating object models, defining APIs, and building web services
• Work closely with cross-functional teams to develop a deep understanding of business needs and translate them into effective technical solutions
• Support team success by fostering collaboration, sharing knowledge, and contributing to a positive and productive work environment
• While primarily focused on frontend development, you may also contribute to backend code as needed, ensuring seamless integration across the stack

• Hybrid Schedule: In-office Monday, Tuesday, and Thursday, remote Wednesday and Friday
• Flexibility: PayZen offers discretionary time-off and 16 weeks of parental leave for US-based roles
• Connection: Team meals, collaborative spaces, and global events that foster stronger relationships

Total funding: $72m

More than half of Americans cannot cover an unexpected medical expense of $1,000. To help solve this healthcare affordability crisis, PayZen offers personalized payment options. Using AI and machine learning, patient’s data is analysed to evaluate their ability to pay, making it possible to pre-emptively support those in financial difficulty.