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Global Head of Customer Success Engineering

Support Full-time Permanent United States

Job details

Not specified Salary
United States Eligibility
Senior Experience
Full-time Employment

About this role

Role overview Lead a global customer success engineering organization supporting technical partnerships across the programmatic advertising ecosystem. The role combines hands-on technical leadership with business operations: improving integration health and revenue outcomes while coordinating closely with customer-facing teams, product, engineering and legal.

Responsibilities - Lead solutions architecture, support engineering and deal operations teams across regions; hire, coach and develop managers and technical leaders. - Set priorities and ownership for technical initiatives, handling escalations and addressing recurring problems at their root. - Establish monitoring for integrations, traffic and revenue; coordinate incident response, partner communications and follow-up reviews. - Advise publishers, demand-side platforms and technology partners on integrations, auction mechanics and performance. - Translate partner needs and business impact into prioritized product and engineering requests, and improve the processes for handling them. - Identify opportunities to use automation and AI to make monitoring and troubleshooting faster and more reliable.

Requirements - 10+ years of technical experience in programmatic advertising at a supply-side platform, demand-side platform, ad server or publisher. - Deep knowledge of OpenRTB, auction mechanics and supply paths, including connected TV and pod bidding; ability to diagnose issues using bid-level data. - Experience leading global teams across business areas, including hiring, coaching and developing managers. - Strong commercial judgment: assess technical work by its impact on revenue, risk and other business measures. - Demonstrated ability to prioritize with discipline, work across teams and regions, and communicate trade-offs clearly. - Product mindset and practical fluency with AI and automation tools, including judgment about where they are useful.

Detected Oct 29, 2026
Last verified Nov 12, 2026

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