4 дня назад
Engineering Manager (AI)
140 000 - 200 000$
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
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 location before a hiring decision.
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