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Senior Engineering Manager (Programmatic Ad Tech, tvScientific)
Pinterest · United States
About The Role
Join tvScientific, the first CTV advertising platform designed for performance marketers. As a Senior Engineering Manager, you will lead the ad server independence initiative, make key architectural decisions, and oversee subteams. You will also serve as the technical DRI for bidder integration work with Pinterest and participate in strategic technical roadmap decisions. The ideal candidate has 9+ years of software engineering experience, including 5+ years in the ad industry, and 5+ years of engineering management experience.
- 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.
- 9+ years of software engineering experience, including 5+ years of ad industry experience with 3+ years deep in programmatic ad tech
- 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
- 5+ years of engineering management experience
- Bachelor’s degree in Computer Science, Engineering, a related field, or equivalent practical experience
- Experience working with ML in low-latency environments
- Demonstrated ability to build and operate high volume, data-intensive services
- 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
- A history of designing scalable, resilient, and observable production systems
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