Product Engineer, AI (Laravel)

Posted 2024-09-20

💎 Seniority level: Middle, 3+ years

📍 Location: Oregon, Netherlands, France, United Kingdom, Germany, European timezones

💸 Salary: $106,448.40 - $134,450.00 per year

🔍 Industry: Software for short-term rentals

🗣️ Languages: Slack, Notion

⏳ Experience: 3+ years

🪄 Skills: PHPMySQLBusiness OperationsCommunication Skills

3+ years software engineering experience, with a focus on backend.
Significant experience with Laravel, PHP 8.1+, MySQL, and testing pipelines in a deployed web application used by paying customers.
Exceptional communication skills, especially written.
An eye for testable, maintainable, and intuitive code.
Ability to think through non-obvious usage scenarios and explore ripple effects within complex systems.
High degree of empathy towards customers and teammates.
Self-motivated and able to make decisions when surrounded by uncertainty.
Experience with query optimisation and queue/job-centric backends is a plus.
Experience with support engineering and communicating with stakeholders.

You will be an important part of our product and engineering team, focusing on shipping glorious experiences to our hosts.
Partner with product, sales, customer success, and other engineers to develop and ship features that solve the right problems.
Not force AI into every part of the product, but build valuable, product-changing AI features that improve our customers' business operations.
Use your software engineering chops to build magical user experiences, which are both simple for customers to use and simple for other engineers to understand and maintain.
Add your voice to product shaping discussions.
Iterate on launched features based on customer feedback.
Actively seek out opportunities to innovate.
Integrate multiple third-party services, often in an asynchronous logic flow.
Creatively solve issues presented by lots of moving parts at scale.
Work within our 'majestic' monolithic codebase and few micro-services, all sitting on a Kubernetes-powered infrastructure-as-code stack.
Implement and use observability tooling to track and debug post-deployment.
Seek out and remedy performance issues, high resource usage, and other technical problem areas that have the most impact on business operations and customer experience.