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18 часов назад

Manager, Engineering

168 529 - 219 091$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Manager, Engineering (Big Data/AI): Leading the development and modernization of high-scale ingestion engines, ad catalogs, and internal tools for massive media datasets with an accent on distributed systems, AI-driven cataloging, and software quality. Focus on embedding machine learning into production workflows, integrating third-party media signals, enforcing end-to-end quality gates, and maintaining reliable 24/7 platform operations.

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

hirify.global 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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