Job Description:
• Reporting to the Sr Director, Software Engineering
• Guide the architecture vision for D2C platforms with a mobile-first and AI-native mindset
• Define roadmaps across mobile and web with emphasis on scalability, maintainability, and rapid experimentation
• Champion modern patterns including micro frontends, server-driven UI (SDUI), BFF, and serverless systems
• Apply enterprise architecture principles and standards while balancing near-term delivery and long-term platform goals
• Build for leverage by creating reusable frameworks, automation, and internal tooling to accelerate teams
• Integrate AI into every layer of architecture to support thoughtful, agentic system design.
• Lead technical design across consumer products and internal platforms
• Shape cohesive end-to-end architecture spanning APIs, services, and frontends
• Guide strategic areas such as identity, content delivery, personalization, and A/B testing
• Support agent-based automation and apply MCP to promote scalable AI workflows
• Ensure security, observability, and operational excellence across systems
• Mentor engineers and architects across domains
• Promote adoption of tools like GitHub Copilot, Cursor, Claude, and LLM-integrated workflows
• Advance system-level thinking and reusability through shared scaffolds and frameworks.
• Lead the Exponential Engineer Initiative to grow AI-first engineering through reusable agents, automation, and internal platforms
• Promote agent-based design, prompt abstraction, and developer enablement across teams
• Evaluate and apply latest technologies, especially Generative AI, to improve engineering and results.
Requirements:
• 8+ years in software engineering, with 5+ in architecture or principal roles
• Experience with mobile (iOS/Swift, Android/Kotlin) and web (React, Angular) platforms
• Expertise in microservices, GraphQL, API-first design, and AWS-native systems
• Familiarity with SDUI, distributed systems, and resilient architecture
• Operational experience in monitoring, observability, and incident response
• Background in consumer tech domains like credit, personal finance, or marketplaces
• Experience with headless CMS, rules engines, experimentation, and personalization
• Experience with AI agent design, LLM orchestration (such as MCP), and integration of AI tools into developer workflows
• Proficiency or active use of GitHub Copilot, Cursor, Claude, and prompt-based development tools
• Experience in developer enablement, automation platforms, or engineering transformation initiatives.
Benefits:
• Great compensation package and bonus plan
• Core benefits including full medical, dental, vision, and matching 401K
• Flexible schedule, ability to work remotely, hybrid, or in-office
• Flexible time off, including volunteer time off, vacation, sick, and 12-paid holidays