Mission of the Role: This role involves working closely with the CTO to lead the development team, enhancing infrastructure, and driving scalable, high-quality solutions. You will focus on robust implementation across the product lifecycle.

Important Note on AI: With all the hype in AI these days and everyone mentioning the word, it's hard to tell where you see more extensive use of AI that goes beyond just superficial application. With the responsibilities you see here, it's likely that, especially in your role, AI touches every aspect. The technology makes so many things possible that we use it because it truly makes things better, and some things possible where it wasn't before. We don't just speak about AI, we have internal apps such as Madison, our customer support AI that heavily uses LLMs to tackle 75% of our tickets, with more tools to come in the pipeline.

Key Responsibilities:

• Infrastructure Enhancements: Improve and expand existing infrastructure to support new initiatives.
• System Integrations: Integrate third-party tools (e.g., payment processors) and services into the system.
• Internal Tools Development: Design and develop internal tools to enable teams to achieve new capabilities and improve efficiency.
• Cross-Functional Collaboration: Collaborate with Product Management, UX/UI, Marketing, and other teams to define and implement business-critical features.
• Mentoring: Guide and support junior developers, delegate tasks effectively, and ensure the implementation of best practices.

Key Skills Required:

• Experience: At least 4 years in web development (experience with Node.js, PHP, Laravel, MySQL, or JavaScript is a plus).
• Problem-Solving: Strong ability to tackle complex challenges and implement effective solutions.
• Education: A degree in Computer Science or Software Engineering is preferred but not required.
• AWS Knowledge: Experience with AWS is a plus, but not required.

Working environment:

This is a hybrid position, with 3 fixed days working from the office each week.

Many of the projects, especially with AI today, can be executed as a single engineer, removing the need for communication overhead and too many meetings. Of course, you will have the team to brainstorm and have the support at every point.

We already heavily use AI in our development, and you will be exposed to that a lot, as well as actually using it in the tools we develop. Many tools we've developed in the last year have either been impractical at this quality within the time it took to develop, or functionally impossible prior to AI. As long as a new tool (including models) are out and better, we can start using it immediately.