Manager, Engineering
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: Bellevue, Washington, United States. Hybrid work is required for employees in or near the Bellevue or New York offices, with attendance 1–3 days per week; fully remote work is available for eligible non-office-based employees located farther from the offices. Applicants must be authorized to work in the United States.
Salary: $168,529–$219,091 USD annually, plus eligible equity, bonuses, commissions, and overtime.
Company
is a startup developing media measurement and attribution platforms based on large-scale advertising and media data.
What you will do
- Lead a high-performing engineering team responsible for large-scale media data ingestion and content catalog systems.
- Modernize and refactor ingestion and cataloging platforms to improve throughput, latency, scalability, and technical debt.
- Integrate AI and machine learning into creative identification, metadata extraction, fingerprinting, and content cataloging workflows.
- Own third-party data integrations, including ACR, set-top-box, streaming, and panel signals, as well as provider migrations and cutovers.
- Own the full software lifecycle, from design and development through release and post-release stability.
- Maintain 24/7 availability of ingestion engines and ad catalogs while coaching engineers and improving agile execution.
Requirements
- Experience managing engineering teams delivering production-grade distributed software at scale.
- Deep expertise in high-throughput data ingestion, big data architectures, or media metadata systems.
- Experience modernizing legacy systems and building scalable platform architectures.
- Experience embedding AI or machine learning models into production workflows.
- Architectural proficiency across backend data systems and frontend technologies for internal tools and dashboards.
- Experience with automated unit, integration, and regression testing, quality gates, root-cause analysis, production metrics, and agile sprint planning.
Nice to have
- Ad tech, media measurement, or audience measurement platform experience.
- Publisher-side or sell-side measurement experience, including reach, frequency, and cross-platform deduplication.
- 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.
Culture & Benefits
- Hybrid and flexible workplace policy based on location and work responsibilities.
- Eligible full-time employees can participate in the equity plan and receive stock options.
- Competitive market-informed compensation with applicable bonuses, commissions, and overtime.
- Quality-first engineering culture focused on accountability, ownership, reliability, and continuous improvement.
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