Sr. Engineering Manager, Programmatic Ad Tech, tvScientific
Lead architectural decisions and technical roadmap for tvScientific's ad server stack and independence initiative. Oversee subteams on bidder, index building, and VAST serving while driving integration with Pinterest. Requires 9+ years software engineering (5+ in ads, 3+ in programmatic), 5+ years engineering management, and experience with high-volume ML systems.
About the job
Responsibilities
- 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.
Requirements
- 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.
Skills
Programmatic Ad Tech, Ad Server Architecture, Bidder Infrastructure, Vast Serving, Machine Learning, Low-Latency Systems, Data-Intensive Services, Scalable Systems, Engineering Management, AI Tools
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