Manager, Engineering

We are seeking a Engineering Manager to lead the development of our high-scale Ad Platform infrastructure. This role is responsible for the mission-critical systems that ingest, process, and organize massive streams of media data. You will own the end-to-end data lifecycle, from ingestion of raw broadcast/digital signals to the management of a robust Content Catalog. This role has explicit accountability for software quality, owns the frontend, and brings ads domain expertise, including ownership of the ad catalog. Your objective is to ensure that our platform provides a highly accurate, performant, and "source-of-truth" foundation for all downstream measurement and attribution products. The role requires balancing people leadership, technical execution, and quality outcomes across all platform systems

• System Modernization: Lead the strategy for upgrading and refactoring existing ingestion and cataloging systems to improve throughput, reduce latency, and lower technical debt.
• AI-Driven Cataloging: Embed machine learning and AI into the content cataloging workflow to automate creative identification, metadata extraction, and fingerprinting at scale.
• Big Data Domain Expertise: Ensure the accuracy and reliability of massive ad datasets, partnering cross-functionally to evolve platform capabilities in support of complex attribution modeling.

• Full Lifecycle Ownership: Own the pipeline from design and development through testing, release, and post-release stability.
• Quality Gating: 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.
• Rigorous Testing: 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.

• Effective Sprint Planning: Translate long-term platform strategy into actionable, well-scoped sprints. Balance the delivery of new features with the maintenance of "always-on" ingestion systems.
• Frontend & Internal Tooling: 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.
• People Leadership: Coach and mentor a team of engineers, fostering a culture of high accountability, ownership, and "quality-first" engineering.

• System Health: Ensure the 24/7 availability and performance of the ad catalog and ingestion engines.
• Agile Maturity: Drive agile best practices to ensure the team remains nimble while maintaining the discipline required for big data environments.

• 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.

Ad Tech Platform experience

Target cash compensation range: $163,620 - $212,710 USD Annually

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

Hybrid & Flexible Workplace Policy

iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency.

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. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further.

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