9 дней назад
Engineering Manager (AI)
98$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engineering Manager (AI): Consolidating disparate telemetry systems into a unified platform for video operations, monitoring, KPI analysis, automation, and self-healing capabilities with an accent on data harmonization, distributed systems, and cross-team integration. Focus on architecting the platform, implementing AI-driven root-cause analysis, building a new engineering team, and integrating SSAI, player, and CDM systems.
Location: New York, NY; hybrid work model
Salary: 98 USD
Company
is partnering with a leading media technology company on a critical video engineering project.
What you will do
- Lead the consolidation of telemetry systems across engineering teams.
- Architect and help build a unified platform for video operations, monitoring, and KPI analysis.
- Define relevant telemetry and data points from underlying component systems.
- Structure and harmonize data from multiple sources to support automation and AI.
- Implement AI-driven automation, self-healing capabilities, and deeper root-cause analysis.
- Build and develop a new engineering team, participate in hiring, and coordinate with SSAI, player, CDM, and other engineering teams.
Requirements
- Experience with observability, monitoring, and telemetry tools.
- Strong architecture and technical leadership experience.
- Experience integrating or consolidating platforms, systems, or data sources.
- Strong understanding of data architecture, data harmonization, and distributed systems.
- Hands-on engineering experience and willingness to remain technically involved.
- Experience with automation, AI, or self-healing operational capabilities.
Nice to have
- Experience in media or streaming industries.
- Background as a Staff Engineer, Principal Engineer, Distinguished Engineer, Architect, or highly technical Engineering Manager.
Culture & Benefits
- Work on a high-impact project combining media, data, architecture, AI, and technology.
- Collaborate across multiple engineering teams to solve complex technical challenges.
- Help shape the technical direction of a newly formed team.
- Work on automation, AI, and self-healing capabilities in a dynamic team environment.
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