AI Product Designer
You will own the end-to-end product lifecycle from discovery and validation to design and shipping. This involves writing technical tickets for engineering, prototyping AI-driven solutions, and measuring post-launch performance.
You will own the end-to-end product lifecycle from discovery and validation to design and shipping. This involves writing technical tickets for engineering, prototyping AI-driven solutions, and measuring post-launch performance.
You will be responsible for building and evolving a new TypeScript/NextJS system from requirements to production. You will also handle incident response, technical decision-making, and mentor team members while utilizing AI coding tools daily.
The Sales Development Representative will execute high-volume outbound outreach to enterprise decision-makers to generate qualified discovery meetings. They will also partner with executive leadership to provide market feedback and refine the company's enterprise go-to-market strategy.
You will lead the end-to-end product strategy and roadmap for the global payments ecosystem, including checkout, gateways, and fraud prevention. You will also collaborate cross-functionally to deliver high-quality user experiences and ensure compliance with global regulatory standards.
You will lead the technical direction and delivery for the editor team, balancing hands-on engineering with AI-native product strategy. This involves managing sprint planning, unblocking engineers, and shipping high-impact features that improve ecommerce conversion.
You will own the end-to-end quality strategy for the e-commerce platform, including test planning, automation, and production health monitoring. You are expected to integrate AI tools into your daily workflow to generate test cases, analyze data, and accelerate automation efforts.
You will be responsible for building a new TypeScript-based system to replace the legacy PHP platform while maintaining the existing system during the transition. You will own features from requirements to production, including technical decision-making, monitoring, and incident response.