EVP, Technology for Product and Data

Job Description
Position Overview:
Horizon Media is seeking a visionary and execution-focused EVP, Technology on our Product & Data team to spearhead the architecture, engineering, and delivery of the user experience and agentic workflow layer for our next-generation, AI-native media buying platform.
Reporting directly to the Chief Product & Data Officer, this executive leader will be responsible for defining and executing the micro frontend (MFE) strategy that unifies complex media workflows—from planning and buying to optimization and analytics—into a cohesive, composable digital experience. A defining pillar of this role is leading engineering through an "AI-first" development paradigm: leveraging generative AI developer tooling, autonomous agent harnesses, and AI-accelerated development practices to dramatically increase velocity, code quality, and time-to-market.
Location: New York, NY
Key Responsibilities:
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.
Qualifications:
• Experience:
10+ years in technology leadership roles, with at least 5 years in a senior role
managing engineering teams. Experience in building and scaling AI-driven or data intensive platforms, preferably in the media, advertising, or technology sectors.
• Technical Expertise:
Proven track record architecting and deploying large-scale enterprise web
applications or SaaS platforms, ideally within media buying, programmatic
advertising (AdTech/MarTech), or data-intensive analytics ecosystems.
• Microfrontend & Modern Web Standards:
Deep expertise in microfrontend architectures (Webpack/Vite Module Federation, Single-SPA, dynamic micro-apps), modern JavaScript/TypeScript, and frameworks such as React or Next.js.
• AI-Driven Development:
Documented experience integrating and operationalizing modern AI tools into the software development lifecycle (e.g., GitHub Copilot, Cursor, bespoke LLM agents, automated evaluation harnesses, prompt-to-code pipelines).
• Leadership & Communication:
Proven ability to lead diverse technical teams and communicate complex technical concepts to non-technical stakeholders eKectively.
• Problem-Solving & Decision-Making:
Strong analytical skills with a data-driven approach to problem-solving and
decision-making.
Educational Background:
Bachelor’s degree in Computer Science, Engineering, or a related field. Advanced
degree (e.g., M.S., Ph.D.) or MBA is a plus.
What We Offer:
• The opportunity to lead a transformative technology initiative in a fast-paced
innovation-driven environment.
• A collaborative and supportive team culture focused on professional growth and continuous learning.
• Competitive compensation, benefits, and opportunities for advancement) strategy that unifies complex media workflows—from planning and buying to optimization and analytics—into a cohesive, composable digital experience. A defining pillar of this role is leading engineering through an "AI-first" development paradigm: leveraging generative AI developer tooling, autonomous agent harnesses, and AI-accelerated development practices to dramatically increase velocity, code quality, and time-to-market.
Horizon Media is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Salary Range
$350,000.00 - $500,000.00
A successful applicant’s actual base salary may vary based on factors such as individual’s skill sets, experience, training, education, licensure/certifications, and qualifications for the role. As an organization, we take an aptitude and competency-based hiring approach. We provide a competitive total rewards package including a discretionary bonus and a variety of benefits including health insurance coverage, life and disability insurance, retirement savings plans, company paid holidays and unlimited paid time off (PTO), mental health and wellness resources, pet insurance, childcare resources, identity theft insurance, fertility assistance programs, and fitness reimbursement.