Senior Engineering Manager, Programmatic Ad Tech

Zigsaw

Technical leader overseeing internal initiatives and managing multidisciplinary teams for ad server stack at Pinterest's tvScientific. Making architectural decisions and collaborating closely with engineering.

Posted 6/30/2026full-timeSan Francisco • California • 🇺🇸 United StatesSenior💰 $208,592 - $429,454 per yearWebsite

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

Information regarding the culture at Pinterest and benefits available for this position can be found here.

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Hard Skills & Tools

Software EngineeringSystem DesignProduction SystemsData-Intensive ServicesMachine LearningAI UtilizationData ValidationTechnical Roadmap DevelopmentArchitecture DecisionsIntegration Work

Soft Skills

Technical OwnershipCritical EvaluationAccountabilityCollaborationIntegrity

Certifications

Bachelor’s Degree in Computer ScienceBachelor’s Degree in Engineering