iSpot · 1 day ago
Manager, Engineering
iSpot is a leading player in the Ad Technology space, and they are seeking an Engineering Manager to lead the development of their high-scale Ad Platform infrastructure. This role involves overseeing the end-to-end data lifecycle and ensuring software quality while balancing people leadership and technical execution.
AdvertisingAnalyticsBrand MarketingDigital MarketingInformation TechnologyMarket ResearchMarketingReal TimeSoftwareTest and Measurement
Responsibilities
Lead the strategy for upgrading and refactoring existing ingestion and cataloging systems to improve throughput, reduce latency, and lower technical debt
Embed machine learning and AI into the content cataloging workflow to automate creative identification, metadata extraction, and fingerprinting at scale
Ensure the accuracy and reliability of massive ad datasets, partnering cross-functionally to evolve platform capabilities in support of complex attribution modeling
Own the pipeline from design and development through testing, release, and post-release stability
Define and enforce software quality standards. You are the final authority on release readiness, tracking metrics such as defect density, test coverage, and production uptime
Ensure unit, integration, and regression testing are natively embedded in the CI/CD pipeline. Lead root-cause analysis (RCA) for any production incidents to drive continuous improvement
Translate long-term platform strategy into actionable, well-scoped sprints. Balance the delivery of new features with the maintenance of 'always-on' ingestion systems
While the focus is backend-heavy, you will own the architecture and usability of internal-facing tools and dashboards, ensuring consistency and performance for internal power users
Coach and mentor a team of engineers, fostering a culture of high accountability, ownership, and 'quality-first' engineering
Ensure the 24/7 availability and performance of the ad catalog and ingestion engines
Drive agile best practices to ensure the team remains nimble while maintaining the discipline required for big data environments
Qualification
Required
Proven experience managing high-performing teams delivering production-grade, distributed software at scale
Deep domain expertise in big data architectures, specifically managing high-throughput data ingestion, or media metadata systems
Proven track record of upgrading legacy systems and refactoring technical debt into scalable, modern platform architectures
Experience embedding AI/ML models into production workflows to automate content cataloging, creative identification, or data tagging
Architectural proficiency in both backend data systems and frontend technologies used to build performant internal management tools
Demonstrated accountability for the end-to-end software lifecycle, from initial design through to post-release stability and performance
Experience defining and enforcing rigorous quality gates, including automated unit, integration, and regression testing frameworks
Strong focus on production stability, using root-cause analysis and data-driven metrics (e.g., defect rates, latency) to drive improvement
Mastery of effective sprint planning to balance rapid delivery of new platform features with long-term infrastructure stability
Ability to maintain a high shipping cadence while upholding strict standards for system reliability and data integrity
Exceptional communication skills to align engineering efforts with Product, Data Science, and Operations objectives
Preferred
Ad Tech Platform experience
Benefits
Participate in iSpot’s equity plan to receive stock options
Hybrid & Flexible Workplace Policy
Company
iSpot
iSpot helps advertisers measure the brand and business impact of TV and streaming advertising, from concept to airing to conversion.
Funding
Current Stage
Growth StageTotal Funding
$382.8MKey Investors
Goldman SachsInsight PartnersMadrona
2022-04-27Private Equity· $325M
2018-09-26Series C· $30M
2015-05-19Series B· $21.9M
Recent News
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2025-11-07
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