Sr. Engineering Manager, Programmatic Ad Tech, tvScientific

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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 track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review).
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.

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