Engineering Manager

Nbcuniversal3; Stamford (CT); On-site; USD 170,000 - 250,000; Full time

Job summary

NBCUniversal’s Global Video Engineering organization seeks an Engineering Manager to lead a team building and maintaining platforms for live, linear, and VOD video operations. You will drive the centralized video intelligence platform, enabling real-time visibility, analytics, automation, and AI-driven capabilities across NBCU’s video ecosystem.

You will collaborate with Product, Operations, Architecture, Data Engineering, and other technology teams to deliver scalable foundations and

Responsibilities

• Build and lead an inclusive, high-performing engineering organization responsible for software platforms, data services, APIs, integrations, automation, and operational tooling.
• Provide technical leadership and architectural direction for a centralized video intelligence platform integrating data across multiple systems and domains.
• Lead engineers responsible for designing and developing scalable systems capable of ingesting, processing, normalizing, correlating, storing, and serving high-volume operational and telemetry data.
• Partner with senior engineers and architects to define the architecture for real-time and historical data processing, including streaming pipelines, event-driven architectures, APIs, data lake technologies, and analytical services.

Job description

The Media Group at NBCU supports a powerhouse collection of consumer-first brands including Peacock, NBC, Bravo, NBC Sports, and NBCU International. With unequalled scale, our teams make the most out of every opportunity to collaborate and learn from one another. We're always looking for ways to innovate faster, accelerate our growth and consistently offer the very best in consumer experience. But most of all, we're backed by a culture of respect. We embrace authenticity and inspire people to thrive.

The Global Video Engineering organization is looking for an Engineering Manager to lead and develop our engineering team responsible for building the next generation of tooling, automation, data, and intelligence capabilities supporting video operations.

This role will lead a team of software engineers responsible for designing, building, and maintaining platforms used to operate, monitor, analyze, and improve NBCUniversal's video ecosystem across Live, Linear, and VOD experiences.

A key focus of this role will be the development of a centralized video intelligence and data platform that brings together operational, telemetry, scheduling, monitoring, and performance data from multiple systems. The platform will enable real-time visibility, correlation, advanced analytics, automation, and AI-driven operational capabilities.

The Engineering Manager will work closely with Product, Video Engineering, Operations, Architecture, Data Engineering, and other technology teams to establish scalable technical foundations while delivering high-value capabilities incrementally.

Roles & Responsibilities

• Build and lead an inclusive, high-performing engineering organization responsible for software platforms, data services, APIs, integrations, automation, and operational tooling.
• Provide technical leadership and architectural direction for a centralized video intelligence platform integrating data across multiple systems and domains.
• Lead engineers responsible for designing and developing scalable systems capable of ingesting, processing, normalizing, correlating, storing, and serving high-volume operational and telemetry data.
• Partner with senior engineers and architects to define the architecture for real-time and historical data processing, including streaming pipelines, event-driven architectures, APIs, data lake technologies, and analytical services.
• Establish engineering patterns for integrating disparate data sources while maintaining data quality, consistency, lineage, governance, and observability.
• Guide the development of a canonical/common data model that enables information from different video systems and platforms to be correlated and consumed consistently.
• Oversee the development of intelligence capabilities including anomaly detection, event correlation, intelligent alerting, automated triage, root-cause analysis, and predictive insights.
• Establish the technical foundation required to safely leverage machine learning, large language models, AI agents, and other emerging AI capabilities against operational video data.
• Partner with Product and Operations teams to translate operational problems and business requirements into scalable technical capabilities and engineering roadmaps.
• Work collaboratively across Video Engineering, Playback, Live/Linear, VOD, Operations, Architecture, Data Engineering, Cloud Infrastructure, and other technology organizations.
• Evaluate existing systems and workflows to identify opportunities for consolidation, automation, modernization, and improved interoperability.
• Drive architectural decisions related to scalability, resiliency, availability, latency, performance, security, and cost.
• Ensure systems are designed with appropriate observability, monitoring, logging, telemetry, and operational support capabilities.
• Establish and maintain strong API and integration standards to enable internal systems and applications to reliably contribute to and consume platform data.
• Drive engineering best practices across software design, code quality, automated testing, CI/CD, documentation, deployment, and operational readiness.
• Ensure solutions are properly unit tested, integration tested, performance tested and validated prior to production deployment.
• Lead technical design reviews and ensure architecture and engineering decisions are appropriately documented.
• Deliver against product and engineering roadmaps incrementally while balancing technical debt, platform investment, operational priorities, and business value.
• Partner with engineering teams to establish highly resilient and scalable architectures capable of supporting mission-critical video operations.
• Continuously identify opportunities to improve platform reliability, engineering efficiency, system performance, and developer experience.
• Grow the engineering team by attracting and retaining strong technical talent capable of operating across software, data, platform, and video engineering disciplines.
• Coach and develop engineers through re