Назад
Company hidden
4 дня назад

Engineering Manager (AI)

140 000 - 200 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Engineering Manager (AI/video intelligence): Leading the engineering team building a centralized video intelligence and data platform for Live, Linear, and VOD operations with an accent on real-time data processing, telemetry, automation, and AI capabilities. Focus on designing scalable event-driven architectures, integrating high-volume operational data, and developing anomaly detection, intelligent alerting, automated triage, and predictive insights.

Location: Stamford, Connecticut, United States; hybrid schedule with a minimum of four days per week in the office

Salary: $140,000–$200,000 per year, plus bonus and long-term incentive eligibility

Company

hirify.global is a global media and entertainment company producing and distributing film, television, streaming, news, sports, and theme park content.

What you will do

  • Build and lead an engineering organization responsible for software platforms, data services, APIs, integrations, automation, and operational tooling.
  • Provide technical and architectural leadership for a centralized video intelligence platform spanning Live, Linear, and VOD operations.
  • Lead the development of systems that ingest, process, normalize, correlate, store, and serve high-volume operational and telemetry data.
  • Establish architectures for streaming pipelines, event-driven systems, APIs, data lakes, analytical services, and common data models.
  • Oversee 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 to deliver scalable capabilities and grow engineering talent.

Requirements

  • 10+ years of software engineering experience, including senior or technical leadership experience.
  • Experience leading or managing teams responsible for complex, production-scale systems.
  • Strong knowledge of distributed systems, microservices, APIs, event-driven architecture, and cloud-native application design.
  • Experience with data platforms, data lakes, ETL/ELT, batch processing, real-time streaming, Kafka or equivalent platforms, and analytical data stores.
  • Experience designing systems handling high-volume telemetry, time-series, event, and operational data, with strong attention to availability, resiliency, latency, scalability, observability, and security.
  • Experience building high-performing teams, setting technical strategy, managing cross-functional dependencies, and communicating with technical and non-technical stakeholders.

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.
  • Experience with HLS, MPEG-DASH, encoding/transcoding, CDN delivery, playback telemetry, or 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.
  • Opportunities for technical mentorship, career development, and regular feedback.

Hiring process

  • External candidates may be required to attend an in-person interview at an hirify.global location before a hiring decision.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →