17 часов назад
Engineering Manager (AI)
140 000 - 195 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engineering Manager (AI) (Video Intelligence/Data Platforms): Building and leading platforms that ingest, correlate, analyze, and operationalize high-volume video telemetry and operational data across Live, Linear, and VOD experiences with an accent on real-time processing, APIs, data quality, and resilient cloud-native architecture. Focus on developing centralized video intelligence capabilities, intelligent alerting, anomaly detection, root-cause analysis, and safely applying machine learning, LLMs, and AI agents.
Location: New York, NY, USA; hybrid schedule requiring a minimum of four days per week in the office
Salary: $140,000–$195,000 yearly, plus bonus and long-term incentive eligibility
Company
is a global media and entertainment company operating film, television, streaming, news, sports, theme park, and consumer entertainment brands.
What you will do
- Build and lead an inclusive engineering organization responsible for software platforms, data services, APIs, integrations, automation, and operational tooling.
- Set the technical direction for a centralized video intelligence platform integrating operational, telemetry, scheduling, monitoring, and performance data.
- Lead the design of scalable systems for ingesting, processing, normalizing, correlating, storing, and serving high-volume operational data.
- Establish architecture and engineering standards for streaming pipelines, event-driven systems, APIs, data lakes, observability, testing, security, and operational readiness.
- Guide intelligence capabilities such as anomaly detection, event correlation, intelligent alerting, automated triage, root-cause analysis, and predictive insights.
- Partner with Product, Operations, Architecture, Data Engineering, Cloud Infrastructure, and Video Engineering teams while hiring, coaching, and developing engineers.
Requirements
- 10+ years of software engineering experience, including senior or technical leadership experience.
- Experience managing engineering teams responsible for complex, production-scale systems.
- Strong knowledge of distributed systems, microservices, APIs, event-driven architectures, and cloud-native application design.
- Experience with data platforms, data lakes, ETL/ELT, batch processing, real-time streaming, Kafka or equivalent platforms, and high-volume telemetry or operational data.
- Experience with cloud platforms, observability, API architecture, data modeling, governance, reliability, scalability, and operational readiness.
- Ability to work from the New York office at least four days per week under the current hybrid schedule.
Nice to have
- Experience with Go, Python, Java, JavaScript/TypeScript, React, or equivalent technologies.
- Familiarity with machine learning, AI/LLM architectures, vector databases, RAG, AI agents, or intelligent automation.
- Knowledge of video streaming technologies such as HLS, MPEG-DASH, encoding/transcoding, CDN delivery, playback telemetry, and video quality metrics.
Culture & Benefits
- Inclusive engineering culture focused on ownership, collaboration, experimentation, documentation, and continuous improvement.
- Medical, dental, and vision insurance.
- 401(k), paid leave, tuition reimbursement, discounts, and other company-sponsored benefits.
- External candidates may be required to attend an in-person interview at an location.
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