Note: The job is a remote job and is open to candidates in USA. iSpot is seeking an Engineering Manager to lead its high-scale Publisher Team. The role owns mission-critical systems for ingesting, processing, and organizing media data, while overseeing the content and ad catalogs, software quality, frontend tooling, AI integration, operational reliability, and engineering team development.
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 engineering work to onboard and maintain large third-party data sources (ACR, set-top-box, streaming, and panel signals), including the migration and cutover work that comes with changing providers
- 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
- Champion the adoption of AI-assisted development practices across the team, holding the same standards for quality and review that apply to all code we ship
- 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
Skills
- Applicants must be currently authorized to work in the United States
- 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
- 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
Benefits
- 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.
- ISpot supports a hybrid and flexible workplace.
- Those local or living in surrounding areas to one of our offices (Bellevue, WA or New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week.
- Those in a role, not office-based and located further away from our offices, will work a fully remote schedule.
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