Engineering Manager, Marketing Enablement
Domain
Tech Stack
Must-Have Requirements
- ✓5+ years professional experience as a software developer
- ✓Meaningful hands-on work in React/TypeScript on frontend
- ✓Meaningful hands-on work in Python on backend
- ✓2+ years as Software Engineering Manager leading full-stack teams
- ✓3+ years building consumer-facing e-commerce platforms
- ✓Technical design skills with emphasis on distributed and/or cloud-based scaling
- ✓In-depth understanding of computer science principles
- ✓Demonstrated experience evaluating and adopting AI coding tools
Nice to Have
- -Experience with streaming architectures
- -Experience with Content Management Systems (Drupal, AEM, Contentful)
- -Experience with Marketing Technologies and platforms
- -Experience integrating AI-powered features into consumer products
Description
The Role
Minted seeks a Software Engineering Manager to lead the Shopping Portfolio’s Marketing Enablement team engineers, building consumer-facing e-commerce experiences. This role involves collaborating on building a next-generation platform and ensuring on-time product delivery. You will be responsible for the technology strategy and team management, working cross-functionally with other engineering teams, collaborators, and stakeholders to effectively ideate and deliver on the long-term vision of the systems that make it possible for our end-users to find the products they’re looking to buy. The ideal candidate will strategize with stakeholders and Product Managers, manage an Agile team, and rapidly develop revenue-generating features.
You will
Facilitate teams building and integrating 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 can be carried out by internal and external team members 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
You are
Obsessive about productivity and feature delivery Up to speed on highly scalable, event-driven, distributed systems Opinionated about team organization, development processes, and focused on feature delivery Comfortable working in domains with novel and challenging problems to solve Deeply metrics-driven, with strong fluency in data analysis, behavioral analytics, and experimentation — able to define success criteria, interpret signals from user behavior, and guide teams to ship, measure, and iterate with rigor Able to present complex technical information in a clear and concise manner Collaborative and candid with non-engineering stakeholders, including PM and UX Hands-on with AI development tools and thoughtful about where they accelerate teams versus where they introduce risk
You have
5+ years professional experience as a software developer, with meaningful hands-on work in React/TypeScript on the frontend and Python on the backend 2+ 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
Bonus Points
Experience with streaming architectures Experience with Content Management Systems, such as Drupal, AEM & Contentful Experience with Marketing Technologies and platforms Experience integrating AI-powered features into consumer products (e.g. search personalization, recommendations, generative content)