Engineering Manager

NBCUniversal; Stamford (CT); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Hybrid work schedule

Job summary

NBCUniversal is seeking an Engineering Manager for the Global Video Engineering organization to lead the development of tooling, automation, data, and intelligence capabilities across Live, Linear, and VOD video experiences.

The role focuses on building a centralized video intelligence platform, real-time visibility, advanced analytics, and AI-driven operational capabilities. You will partner with Product, Operations, Architecture, and Data Engineering to deliver scalable solutions.

Qualifications

• 10+ years of software engineering experience, including leadership roles.
• Experience leading or managing software teams for complex, production-scale systems.
• Strong understanding of modern software and distributed architectures (microservices, APIs, cloud-native).
• Experience designing or operating data platforms, data lakes, or large-scale analytical systems.
• Strong understanding of data ingestion/transformation patterns (ETL/ELT, streaming, event-driven).
• Experience with Kafka or equivalent streaming platforms and high-volume telemetry/data stores.
• Knowledge of API architecture, RESTful services, authentication and API lifecycle management.
• Cloud platforms, containers, orchestration, and managed data services.

Responsibilities

• Build and lead an inclusive, high-performing engineering organization responsible for software platforms, data services, APIs, integrations, automation, and tooling.
• Provide technical leadership and architectural direction for a centralized video intelligence platform integrating data across systems.
• Lead engineers in designing scalable systems for ingesting, processing, storing, and serving high-volume operational data.
• Define architecture for real-time and historical data processing, including streaming pipelines and data lake technologies.
• Establish patterns for data source integration with data quality, lineage, governance, and observability.
• Develop a canonical data model enabling cross-system data correlation and reuse.
• Advance intelligence capabilities including anomaly detection, correlation, automated triage, and predictive insights.
• Enable safe use of ML/AI against operational video data and integration with existing platforms.
• Collaborate with Product/Operations to translate requirements into scalable roadmaps.
• Work with multiple teams to improve interoperability, resilience, and performance.

Skills

Software engineering

Leadership

Distributed systems

Data platforms

API design

Cloud-native

Observability

AI/ML familiarity

Video streaming knowledge

Tools

Kafka

Data lakes

REST APIs

Job description

NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information.

Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.

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.

• 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 regular 1:1s, technical mentorship, career development, continuous feedback, and clear expectations.
• Create an engineering culture that values ownership, collaboration, experimentation, documentation, technical excellence, and continuous improvement.

Qualifications

Desired Technical Experience

• 10+ years of software engineering experience, including experience operating at a senior or technical leadership level.
• Experience leading or managing software engineering teams responsible for complex, production-scale systems.
• Strong understanding of modern software and distributed systems architecture, including microservices, APIs, event-driven systems, and cloud-native application design.
• Experience designing or operating data platforms, data lakes, or large-scale analytical systems.
• Strong understanding of data ingestion and transformation patterns, including ETL/ELT, batch processing, real-time streaming, and event-driven architectures.
• Experience with technologies such as Kafka or equivalent event streaming platforms, as well as modern analytical or high-performance data stores.
• Experience designing systems capable of handling high-volume telemetry, time-series, event, and operational data.
• Strong understanding of API architecture, including RESTful services, service-to-service integrations, authentication, versioning, and API lifecycle management.
• Experience with cloud platforms and cloud-native architectures, including compute, storage, networking, containers, orchestration, and managed data services.
• Understanding of data architecture concepts including schema design, data modeling, normalization, metadata management, lineage, data quality, retention, and governance.
• Experience with observability technologies and concepts including metrics, logs, traces, alerting, telemetry, and application performance monitoring.
• Familiarity with machine learning, AI/LLM architectures, vector databases, RAG, AI agents, or intelligent automation is highly desirable.
• Ability to evaluate where deterministic automation, analytics, machine learning, and generative AI are appropriate and design platforms that can support these capabilities safely and reliably.
• Experience building systems where availability, resiliency, latency, scalability, and operational reliability are critical.
• Familiarity with video streaming technologies such as HLS, MPEG-DASH, encoding/transcoding, CDN delivery, playback telemetry, and video quality metrics is beneficial but not required.

Leadership Qualifications

• Demonstrated ability to build and lead high-performing engineering teams.
• Strong technical judgment with the ability to participate meaningfully in architecture discussions while empowering senior engineers to own technical solutions.
• Ability to operate across multiple engineering domains and connect software, data, infrastructure, operations, and product requirements into a cohesive technical strategy.
• Ability to translate complex technical concepts and architectural decisions for both technical and non-technical stakeholders.
• Strong understanding of delivery constraints, dependencies, scope, and risk, with the ability to balance near-term business needs against long-term platform strategy.
• Experience operating in large, cross-functional technology organizations and navigating dependencies across multiple engineering teams.
• Ability to manage rapid development cycles while maintaining appropriate engineering standards, documentation, testing, and operational readiness.
• Strong analytical and problem-solving skills with the ability to bring structure to ambiguous and complex technical problems.
• Demonstrated ability to establish engineering roadmaps and incrementally deliver complex platform capabilities.
• Comfortable challenging existing architecture and processes while building alignment around a clear path forward.
• Strong sense of ownership and accountability combined with a collaborative approach to engineering leadership.
• Commitment to creating an inclusive environment where engineers with diverse backgrounds, perspectives, and technical strengths can grow and succeed.
• Transparency, selflessness, curiosity, and authenticity.

Hybrid:This position currently has a hybrid schedule, which requires contributing from the office a minimum of four days per week. The Company reserves the right to change in‑office requirements at any time.

Additional Information

As part of our selection process, external candidates may be required to attend an in‑person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.

If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to [emailprotected] .