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18 часов назад

Manager, Engineering (AI)

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

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TL;DR
Manager, Engineering (AI/Big Data): Leading development of high-scale ingestion engines, content and ad catalogs, and internal tooling for massive media datasets with an accent on AI-driven cataloging, system modernization, and software quality. Focus on managing distributed platform systems, embedding automated testing and quality gates, and maintaining reliable 24/7 operation while balancing technical execution and people leadership.

Location: Bellevue, Washington, United States. Local employees and those near Bellevue or New York offices work hybrid, attending the office 1–3 days per week; employees farther from an office may work fully remotely. Applicants must already be authorized to work in the United States.

Target cash compensation: $168,529–$219,091 USD annually, plus equity and applicable bonus or commission.

Company

hirify.global is a startup providing media measurement and attribution technology based on large-scale advertising and media data.

What you will do

  • Lead development of high-scale systems that ingest, process, and organize broadcast, digital, streaming, set-top-box, ACR, and panel data.
  • Own the end-to-end lifecycle of the Content Catalog and ad catalog, from design and development through release and post-release stability.
  • Modernize ingestion and cataloging platforms to increase throughput, reduce latency, and lower technical debt.
  • Embed AI and machine learning into workflows for creative identification, metadata extraction, fingerprinting, and data tagging.
  • Own the architecture and usability of frontend internal tools and dashboards while maintaining backend platform performance.
  • Coach engineers, lead sprint planning, enforce quality standards, and maintain reliable 24/7 platform operation.

Requirements

  • Proven experience managing high-performing engineering teams delivering distributed production software at scale.
  • Deep expertise in high-throughput data ingestion, big data architectures, or media metadata systems.
  • Experience modernizing legacy systems, refactoring technical debt, and building scalable platform architectures.
  • Experience integrating AI or machine learning models into production workflows.
  • Architectural proficiency across backend data systems and frontend technologies for internal tools.
  • Experience with quality gates, automated unit, integration, and regression testing, production metrics, root-cause analysis, and agile delivery.

Nice to have

  • Ad tech, media measurement, audience measurement, or publisher-side and sell-side measurement experience.
  • Familiarity with ACR, set-top-box, panel, or streaming census data sources.
  • Experience managing enterprise partner SLAs and contractual delivery dates.

Culture & Benefits

  • Hybrid and flexible workplace options based on location and responsibilities.
  • Full-time employees are eligible for iSpot’s equity plan and stock options.
  • Eligible roles may include annual bonuses, variable commissions, and pre-approved overtime pay.
  • Work focuses on high accountability, ownership, quality-first engineering, and agile execution.

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