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Sr. Engineering Manager, Programmatic Ad Tech, tvScientific

Pinterest
CompanyPinterest
CategoryEngineering
LocationSan Francisco
RemoteRemote
EmploymentNot stated
LevelManager
SalaryNot stated by the employer
Posted30 Jun 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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Description
About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the  flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . About tvScientific tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.   The Ad Server team is seeking a technical leader to oversee tvScientific’s emerging ad server stack and help drive the ad server independence initiative. This role will be responsible for leading key architectural decisions across core components and integration interfaces, while coordinating the subteams responsible for bidder infrastructure, index building, and VAST serving, initially through dotted-line leadership and over time through direct management of a growing multidisciplinary team. What you’ll do:  Lead and make key architectural decisions across the tvScientific ad server tech stack and its major integration points. Take technical ownership of the ad server independence roadmap, including developing a clear understanding of the current state of initiatives, ownership across subcomponents, and resourcing needs. Oversee and organize the subteams supporting the initiative, including bidder, index building, and VAST serving. Serve as the technical DRI for bidder integration work with Pinterest, partnering closely on milestone sequencing, delivery planning, and execution. Identify and drive opportunities for shared components and common infrastructure with Pinterest where it makes strategic and technical sense. Participate in key strategic technical roadmap and architecture decisions for the Ad Server team. Help scale the team over time, including supporting the growth of a multidisciplinary engineering organization. What we’re looking for: Bachelor’s degree in Computer Science, Engineering, a related field, or equivalent practical experience. 9+ years of software engineering experience, including 5+ years of ad industry experience with 3+ years deep in programmatic ad tech. 5+ years of engineering management experience. A history of designing scalable, resilient, and observable production systems. Demonstrated ability to build and operate high volume, data-intensive services. Experience working with ML in low-latency environments. Strong data literacy and the ability to use data to inform technical and strategic decisions. Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs. Strong t
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