Senior Manager, Engineering

Minted is a company that empowers independent artists to sell and scale their work through a unique marketplace. They are seeking a Senior Engineering Manager to lead the Shopping Portfolio’s Discovery team engineers, focusing on enhancing consumer-facing e-commerce experiences and managing technology strategy and team dynamics.

Responsibilities:

• Facilitate teams building complex software systems (UIs and Services) from idea inception through planning to experimentation and performance at scale
• Work closely with Product Management, UX, and Engineering peers & leaders to implement and refine a complex backlog of projects & initiatives
• Coordinate the efforts of your engineers to deliver features and improvements in a predictable, iterative, and repeatable way
• Provide hands-on input for architecture and technology strategies that internal and external team members can carry out
• Champion AI-assisted development practices across both frontend and backend teams, identifying and driving adoption of tools (e.g., Cursor, Claude Code) and best practices that demonstrably improve team velocity and code quality
• Create an engineering culture of ownership, accountability, testing, and measurement
• Be a talent builder to attract, mentor, and retain the best-in-class engineers
• Lead engineers in their day-to-day tasks, system designs, and career growth

Requirements:

• 5+ years of professional experience as a software developer, with meaningful hands-on work in React/TypeScript on the frontend and Python on the backend
• 5+ years as a Software Engineering Manager leading full-stack teams spanning both frontend (preferably ReactJS/TypeScript) and backend (preferably Python) engineers
• 3+ years building consumer-facing e-commerce platforms
• Technical design skills with an emphasis on distributed and/or cloud-based scaling
• In-depth understanding of computer science principles, including data structures, programming languages, operating systems, software engineering, databases, hardware, observability tools, and networking
• Demonstrated experience evaluating and adopting AI coding tools, either through personal hands-on use or by driving org-wide adoption
• Familiarity with prompt engineering fundamentals and an understanding of where AI assistance is most effective in the SDLC
• Experience with streaming architectures
• Experience integrating AI-powered features into consumer products (e.g., search personalization, recommendations, generative content)