layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

LAYIQ - EVP, Technology for Product and Data at Horizon Media

Microfrontend Architecture & Strategy
Define & Execute MFE Vision : Architect and implement a scalable, resilient microfrontend foundation that allows multiple squads to build, test, and deploy features independently without sacrificing end-user performance or UX consistency.
Composable Platform Ecosystem: Establish cross-application contracts, shared state management, routing, and shared design system integration across disparate media tools, platforms, and partners into one unified AI-native platform.
Performance & Scalability: Guarantee industry-leading client-side performance, core web vitals, and asset orchestration across complex, data-heavy dashboard environments.
AI-Native Engineering & Developer Productivity
AI-Augmented SDLC: Champion and implement an AI-first engineering methodology across the frontend team, embedding AI harnesses, LLM codegeneration assistants, automated unit/integration test synthesizers, and AI-driven code review pipelines.
Agentic & Generative Tooling: Experiment with and scale generative UI tooling (e.g., dynamic component generation, context-aware interface assembly) to accelerate feature development.
Benchmarking & Velocity Metrics: Track, quantify, and continuously improve developer velocity and code health through the adoption of cutting-edge AI engineering practices.
AI-Native User Experience & Interaction Design
Next-Gen Media Workflows: Partner with Product and UX design to create modern interface paradigms tailored for AI-powered media buying, natural language querying, automated decisioning panels, and human-in-the-loop review queues.
Real-Time Data Visualization: Deliver responsive, low-latency UI components capable of rendering high-velocity campaign pacing, programmatic bidding metrics, and predictive forecasting data.
Engineering Leadership & Talent Cultivation
Team Building: Recruit, lead, and mentor a top-tier frontend and full-stack engineering team, instilling a culture of craftsmanship, technical excellence, and continuous learning.
Engineering Culture: Foster a forward-looking environment where engineers are encouraged to test emerging AI capabilities, open-source innovations, and modern architecture patterns.

EVP, Technology for Product and Data

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