Ispottv Engineering Manager at iSpot leading development of high-scale Publisher Team responsible for media data ingestion, processing, and content catalog management. Own software quality and platform evolution including AI integration.
Responsibilities
Lead strategy for upgrading and refactoring ingestion and cataloging systems
Embed machine learning and AI into content cataloging workflow
Ensure accuracy and reliability of massive ad datasets
Own engineering work to onboard and maintain large third-party data sources
Own pipeline from design through testing, release, and post-release stability
Define and enforce software quality standards and release readiness
Ensure unit, integration, and regression testing embedded in CI/CD pipeline
Lead root-cause analysis for production incidents
Translate platform strategy into actionable sprints balancing new features and maintenance
Engineering Leadership: Proven experience managing high-performing teams delivering production-grade, distributed software at scale.
Big Data: Deep domain expertise in big data architectures, specifically managing high-throughput data ingestion, or media metadata systems.
System Modernization: Proven track record of upgrading legacy systems and refactoring technical debt into scalable, modern platform architectures.
AI Implementation: Experience embedding AI/ML models into production workflows to automate content cataloging, creative identification, or data tagging.
Full-Stack Oversight: Architectural proficiency in both backend data systems and frontend technologies used to build performant internal management tools.
Lifecycle Ownership: Demonstrated accountability for the end-to-end software lifecycle, from initial design through to post-release stability and performance.
Quality Governance: Experience defining and enforcing rigorous quality gates, including automated unit, integration, and regression testing frameworks.
Operational Excellence: Strong focus on production stability, using root-cause analysis and data-driven metrics (e.g., defect rates, latency) to drive improvement.
Agile Execution: Mastery of effective sprint planning to balance rapid delivery of new platform features with long-term infrastructure stability.
Delivery Velocity: Ability to maintain a high shipping cadence while upholding strict standards for system reliability and data integrity.
Strategic Collaboration: Exceptional communication skills to align engineering efforts with Product, Data Science, and Operations objectives.
Preferred
Ad Tech Platform experience
Ad tech, media measurement, or audience measurement platform experience
Familiarity with publisher-side or sell-side measurement — audience delivery, reach and frequency, cross-platform de-duplication
Exposure to ACR, set-top-box, panel, or streaming census data sources
Experience managing engineering work tied to enterprise partner SLAs and contractual delivery dates
We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot’s equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.
For more information on total rewards package, go HERE
