Director, Automation Engineering
- Full-time
- Business Segment: Ad Sales
Company 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
NBCUniversal Advertising Products & Solutions (AP&S) is responsible for the product development and project management of NBCUniversal’s full advertising technology suite. From sales support to campaign execution, delivery, and billing, our division services both internal and external customers in support of NBCUniversal’s $7B+ annual advertising business. Together, we’re building the platform that powers the future of advertising at NBCU.
We are seeking a Director, Automation Engineering to join the Engineering & Operations team. Reporting to the Sr. Director of Engineering & Operations, this role will build AI-enabled automation systems and production-grade software that support NBCUniversal's data collaboration ecosystem.
The ideal candidate is a strong engineering leader who can set technical direction, deliver reliable systems, repeatable workflows, and AI agents that automate complex engineering and operational tasks across data platforms for audience activation, measurement, and reporting.
Responsibilities:
AI Agent & Automation Engineering
Lead the design and delivery of internal AI agents and automation workflows using technologies such as Snowflake Cortex, LangChain, LangGraph or similar frameworks, to support planning, tool use, retrieval, validation, and human-in-the-loop execution where appropriate.
Guide the development of reusable tools, APIs, and components that engineers can compose into new agentic workflows.
Direct retrieval-augmented generation workflows, context management strategies, and prompt patterns that improve accuracy, reliability, latency, and cost efficiency.
Agent Evaluation & Reliability
Establish evaluation harnesses, regression tests, and monitoring patterns for AI-agent behavior.
Define and hold the team accountable to metrics such as task completion, groundedness, response accuracy, latency, cost, and failure rate.
Set guardrails and validation patterns to reduce hallucinations, unsafe outputs, and unreliable automation behavior.
Partner with engineering and operations teams to move AI workflows from prototype to production-ready systems.
Software Engineering & Platform Development
Oversee the design, build, and maintenance of production-grade Python applications, libraries, and services.
Champion object-oriented design principles, including encapsulation, abstraction, inheritance/composition, reusable interfaces, and clean separation of concerns to improve maintainability and extensibility.
Champion software engineering best practices including modular design, automated testing, CI/CD, code reviews, observability, and documentation.
Drive reusable engineering patterns that reduce bespoke development effort and improve consistency across partner engagements.
Collaborate with product, engineering, operations, and data platform teams to translate repeatable business needs into scalable technical solutions.
Audience & Measurement Productization
Lead the development of reusable Python libraries that support clean room capabilities across first-party audience workflows and core measurement use cases, including audience onboarding, ingestion, indexing, activation, campaign and impression delivery analysis, reach and frequency, attribution, and incrementality.
Abstract complex analytical and data collaboration workflows into repeatable, self-service components for internal teams and external partners.
Enable configurable feature deployment so new audience and measurement capabilities can be delivered quickly and consistently across partners.
Team Leadership & Technical Mentorship
Hire, develop, and retain a high-performing team of software and AI engineers.
Mentor engineers through code reviews, technical design discussions, and operational best practices.
Help establish engineering standards for AI-assisted workflows, agentic system design, reusable libraries, and production automation.
Promote a culture of reliability, maintainability, and continuous improvement.
Qualifications
Required Qualifications
Education
- Bachelor's degree or equivalent practical experience in Computer Science, Information Systems, Software Engineering, Electrical Engineering, Electronics Engineering, or a related technical field
Engineering Leadership
- 8+ years of software engineering experience, including experience leading and mentoring engineering teams
Software Engineering
- Deep hands-on experience building production-grade software using Python, including libraries, services, testing, CI/CD, and code reviews
AI / LLM Engineering
- Hands-on experience building applications using LLMs, RAG, vector databases, prompt engineering, or frameworks such as Snowflake Cortex, LangChain, LangGraph, or similar tools
Agentic Systems / Automation
- Experience designing AI-enabled workflows, reasoning agents, tool-using agents, or complex automation systems
Data Platforms
- 5+ years of hands-on experience with cloud data platforms such as Snowflake, Databricks, or similar technologies
System Designs
- Strong understanding of production system design, including observability, reliability, scalability, performance tuning, and operational support
Preferred Qualifications
Clean Room Knowledge
- Exposure to data clean room concepts or platforms such as Snowflake Clean Rooms, Databricks Clean Rooms and LiveRamp/ Habu
Ad Tech / Measurement
- Experience with advertising technology, audience activation, campaign delivery, reach and frequency, attribution, incrementality, or reporting workflows
Certifications
- Snowflake SnowPro Core Certification, Databricks Certified Data Engineer Associate, or similar cloud/data platform certification
Additional Requirements:
Fully Remote: This position has been designated as fully remote, meaning that the position is expected to contribute from a non-NBCUniversal worksite, most commonly an employee’s residence.
This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website.
Salary range: $165,000 - $210,000 (bonus and long-term incentive eligible)
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.
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