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SVP Engineering

  • Location New York City, NY
  • Salary $350k/year - 375k/year
  • Posted November 4, 2025

SVP of Engineering — Global AdTech / CTV / AI Platform

Location: NY or East Coast preferred (UK also considered)

Compensation: $350,000–$375,000 base + executive bonus

A fast-scaling, global advertising technology company is seeking a Senior Vice President of Engineering to lead its next phase of platform innovation, automation, and CTV expansion. The organization powers premium, brand-safe digital advertising for hundreds of the world’s largest brands and agencies, operating across YouTube, CTV/OTT, paid social, and emerging channels.

This is an executive-level role with ownership of architecture, delivery, infrastructure, and engineering culture—ideal for a technical leader who blends system design expertise with strategic vision, AI fluency, and operational excellence.

Why This Role Stands Out

  • Own the entire global engineering organization, spanning product engineering, data engineering, DevOps, QA, and security
  • Lead the evolution toward a truly agentic, AI-driven, automated platform powering guaranteed client outcomes
  • Highly visible role collaborating with Product, Data Science, and Commercial leadership
  • Global team with an execution-oriented culture and strong investment in modernization, automation, and scale
  • Technology powering mission-critical, enterprise-grade advertising workflows across 20+ countries

What You’ll Lead

Technology Vision & Architecture

  • Develop and execute a multi-year engineering roadmap focused on automation, scalability, cloud modernization, and real-time decisioning
  • Build a modular, API-first ecosystem powering cross-platform campaign orchestration across CTV, YouTube, Meta, TikTok, Snap, and future environments
  • Partner with Product and Data Science to deliver systems infused with contextual intelligence, ML models, and measurement frameworks

Engineering Delivery & Excellence

  • Own all software engineering from data pipelines and ML services to user-facing apps and client APIs
  • Drive modern delivery practices—microservices, CI/CD, automated testing, observability, and high-availability architecture
  • Define engineering KPIs and SLAs for reliability, latency, release cadence, uptime, and scale

AI, Automation & Innovation

  • Lead the buildout of agentic AI systems automating campaign setup, optimization, classification, and reporting
  • Operationalize ML models into production environments with real-time feedback loops and model accuracy governance
  • Deploy GenAI tools to elevate productivity, system intelligence, and workflow automation across teams

Infrastructure, Data, DevOps

  • Own cloud strategy, Kubernetes/microservices architecture, cost optimization, and global data pipelines
  • Oversee platform observability, incident response, disaster recovery, and security practices
  • Ensure compliance with privacy and security frameworks (GDPR, SOC 2, industry safety standards)

Leadership & Organizational Growth

  • Lead and mentor a globally distributed engineering team of senior ICs, managers, and architects
  • Establish standards for hiring, coaching, technical design reviews, and succession planning
  • Champion transparency, blameless post-mortems, high accountability, and continuous learning

Business & Industry Impact

  • Translate complex technical decisions into business outcomes: client success, reliability, margin, and speed to market
  • Serve as a strategic partner to the Executive Team on investment decisions, forecasting, and scaling
  • Represent the technology vision externally to clients, partners, and industry organizations

Ideal Experience

  • 15+ years in software engineering leadership; 7+ leading large, global teams
  • Built and scaled cloud-native, AI-driven, data-intensive platforms (ad tech strongly preferred)
  • Deep hands-on knowledge of distributed systems, data engineering, microservices, and ML infrastructure
  • Experience integrating with major digital advertising ecosystems (CTV/OTT, YouTube, TikTok, Meta, Snap, etc.)
  • Proven track record implementing DevOps, CI/CD, observability, automation, and platform reliability at scale
  • Executive presence—able to influence and communicate at C-suite and Board level
  • Entrepreneurial mindset with high ownership and passion for building at speed

Compensation & Benefits

  • $350,000–$375,000 base + executive bonus
  • Full benefits package (medical, dental, vision, life)
  • Cell phone & Wi-Fi reimbursement
  • Gym/wellness stipend
  • Flexible working model—performance and impact matter more than hours or location

Why High-Caliber Engineering Leaders Love This Company

  • Global scale with the agility of a high-growth environment
  • Massive proprietary data sets and AI-driven classification models powering real-time decisions
  • Product directly impacts ROI, suitability, and safety for some of the world’s largest brands
  • Leadership team that embraces experimentation, innovation, and fast execution