Lead Software Engineer (Editor)

Accountabilities:: Own the technical direction of the editor, including the design and implementation of AI-powered capabilities such as content generation, layout suggestions, content assistance, and personalization. Lead the Editor 2.0 team's delivery by owning sprint planning, task breakdown, prioritization, progress tracking, and resolution of technical or cross-team blockers. Act as a hands-on technical leader, personally taking on critical-path engineering work when the team needs additional capacity and ensuring important features reach production. Establish and maintain high standards for code reviews, technical decisions, testing, maintainability, and overall engineering quality. Own incident response and production health for the editor, serving as the primary escalation point for issues within the product area. Partner directly with Product to define roadmap priorities and feature opportunities, contributing technical and product judgment rather than simply executing predefined requirements. Evaluate AI-powered product ideas based on real user workflows and conversion objectives, identifying where AI can create meaningful value and where it may introduce unnecessary complexity. Propose and develop AI-native features, defining what the system should generate, suggest, automate, or leave under user control. Use AI coding tools as part of everyday development while ensuring that all generated or assisted work is thoroughly understood, reviewed, tested, and maintainable. Establish effective AI-assisted development practices across the team and help engineers identify workflows that improve productivity without creating additional cleanup or quality risks. Write unit and integration tests as part of feature development and proactively identify edge cases and risks during planning. Mentor and develop engineers, support their technical growth, and help establish stronger AI-assisted engineering practices across the team. Requirements: 6+ years of professional software engineering experience, including at least 1–2 years in a technical lead or de facto lead capacity with ownership of technical direction for a team. Strong hands-on software engineering background and experience building consumer-facing web products at scale. Experience with complex page builders, website or funnel editors, WYSIWYG tools, or similarly sophisticated visual editing products is strongly preferred. Proven experience shipping AI-powered product features, beyond simply using AI coding assistants. Experience working directly with Product Managers on roadmap development, feature definition, prioritization, and product strategy. Comfortable serving as the primary escalation point for production incidents and technical issues within a product area. Strong experience with TypeScript and Node.js, along with the ability to work with PHP 7.4/8+ and Laravel during an existing-system transition. Familiarity with MariaDB, Redis, AWS services such as EC2, RDS, CloudWatch, SQS, and S3, as well as Docker and GitHub Actions CI/CD. Strong understanding of testing, code quality, technical risk management, and production reliability. Hands-on experience using AI coding tools daily and the judgment to distinguish genuinely productive AI-assisted workflows from those that create additional engineering overhead. Strong communication and collaboration skills, with the ability to make technical and product decisions in an ambiguous, fast-moving environment. Comfortable balancing hands-on individual contribution with team leadership, mentoring, prioritization, and delivery ownership. Benefits: Remote position across Europe and Latin America. Opportunity to lead a team building an AI-native ecommerce conversion and editing experience. Hands-on role combining engineering leadership, product strategy, and software development. Opportunity to shape how AI is integrated directly into a customer-facing product. Fast-growing SaaS environment with a strong focus on data, excellence, continuous growth, and execution. Exposure to modern technologies including TypeScript, Node.js, AWS, Docker, GitHub Actions, and AI-assisted development. Collaborative team environment with open communication and clear goal setting. Opportunity to work alongside experienced professionals from leading technology companies. Significant ownership over technical direction, roadmap development, and product outcomes.