Welcome to Warner Bros. Discovery… the stuff dreams are made of.
Who We Are…
When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next…
From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
Your New Role :
The Senior Principal, System Architecture reports to the VP Engineering, Converged AdTech & Linear Systems and leads the architecture for WBD’s most critical advertising technology platforms. This role owns and drives the systems automation architecture of core adtech platforms to improve scalability, reliability, performance, and cost efficiency across the ecosystem. This role is accountable for the architecture, scalability, and operational excellence of systems spanning converged planning, linear and digital advertising, scheduling, and affiliate distribution. By architecting the platform rationalization, cloud migration, and next-generation AI/ML-enabled capabilities, the Principal ensures WBD’s ad-tech stack is positioned to maximize monetization, enable automation, and deliver premium advertising experiences across all platforms.
Your Role Accountabilities:
AI ‑ Driven & Agentic Systems Automation
Define and drive the long-term architecture for AI-powered and agentic systems across large-scale AdTech platforms.
Architect autonomous and human-in-the-loop systems for deployment orchestration, infrastructure lifecycle, and incident response
Establish guardrails for safe, observable, and governed AI adoption (reliability, explainability, failure handling)
Integrate AI capabilities into core platform layers (decisioning, optimization, experimentation, operations)
Drive standardization of agentic workflows across engineering and operations
Expectation: redefines how systems are built and operated using AI and not just adds features.
Platform Architecture & System Engineering
Own the design and evolution of foundational platforms with strong system engineering principles.
Define architecture for core platforms (AdOps automation, optimization, identity, data, measurement, activation) with clear boundaries and contracts
Apply system engineering rigor across reliability, scalability, fault isolation, and performance under extreme load
Establish patterns for multi-region, high-availability, and disaster-resilient systems
Drive platform standardization to reduce fragmentation and improve developer velocity
Expectation: builds platforms that are resilient, composable, and operable at scale .
Enterprise System Evolution & Convergence
Lead transformation of fragmented systems into a cohesive, converged AdTech ecosystem (linear + digital).
Identify systemic bottlenecks across latency, data consistency, and cross-platform dependencies
Drive simplification of system topology and elimination of redundant architectures
Lead large-scale modernization (monolith → services, siloed systems → shared platforms)
Ensure seamless interoperability across legacy and next-gen systems
Expectation: reduces long-term complexity while enabling scale and agility.
Technology Strategy & Architectural Leadership
Shape the long-term technology direction and elevate architectural capability across the organization.
Evaluate emerging technologies (streaming, distributed systems, AI infra, Agentic AI, privacy tech) for strategic adoption
Mentor Principal engineers and architects on system design and trade-offs
Establish architectural governance and decision frameworks
Expectation: builds both systems and the people who design them .
Technical…