Manager, Software Engineering, AI Solutions position at Warner Bros. Discovery.| United States Of America

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Warner Bros. Discovery Manager, Software Engineering, AI Solutions

Experience: 8-years

Pattern: full-time

Country:

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GA Atlanta 105..........United States Of America

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. We are the now and the next. The power behind the people building the future. We are born from the spirit of innovation. We are created from the idea that people around the world want more, need more, deserve more. We are the home of the global digital revolution. We are CNN. To see what it’s like to work at CNN, follow @WBDLife on Instagram and X ! With deep domain expertise, advanced technical capabilities, and a proven track record of successful collaborations, the AI Enablement & Machine Learning team at CNN is accelerating our digital transformation through strategic applications of machine learning and AI technologies. The AI Solutions group within this team builds and operates AI-powered applications that solve real problems for CNN’s audiences and internal teams, integrating ML models and GenAI capabilities into production systems. Current products include article summaries, content and product classification, weather summaries, and brand safety classification—with internal AI tooling for editorial, product, design, engineering, and business teams as a growing focus. Our vision is that CNN delivers AI-powered features that enhance user experience and internal productivity with systems that are reliable, accurate, and trustworthy—meeting the high standards our audiences expect from a news organization. Your New Role... The AI Solutions group is composed of two workstreams—Consumer AI and Internal AI—responsible for building and operating CNN’s AI-powered features and tools. As the Engineering Manager for AI Solutions, you will start by managing a small team of experienced engineers and grow it significantly through 2026, with up to 8 direct reports across both workstreams. You will also partner closely with a dedicated Senior Technical Program Manager. This is a high-growth area for CNN. As the team scales and the Consumer AI and Internal AI workstreams mature, there is a clear path for this role to evolve into a senior leadership position overseeing dedicated managers for each branch. Key challenges the team will tackle: Consumer AI Features: Expand and iterate on consumer-facing AI features (article summaries, content classification, product classification/summarization, weather summaries) with a focus on accuracy, reliability, and editorial standards Brand Safety Classification: Complete the transition from a vended, rules-based brand safety system to an in-house LLM-based classification product that is already outperforming the incumbent—positioning CNN to scale classification to live streams and deliver unified content classification across the organization Internal AI Tooling: Build AI-assisted workflows for editorial, product, design, engineering, and business teams—including tool provisioning, training, and adoption programs (e.g., Claude Code) AI Platform Stewardship: Manage the current AI platform (prompt management, evaluation, caching, versioning, deployment, tenant management) through its evolution toward ML Foundations ownership Foundation Model Integration: Evaluate, select, and govern foundation model usage; build use case-specific prompt engineering UIs; monitor AI feature accuracy and performance Your Role Accountabilities... Support, coach, mentor, and provide valuable feedback to the individuals you manage to help them excel—across a range of roles including software engineers, applied AI specialists, and potentially additional disciplines as the team grows. Work with cross-functional partners and stakeholders on activities such as planning, technical strategy, quality, and delivery. Partner with engineers within the team and across the organization to build, operate, and iterate on AI-powered features and internal AI tools, ensuring accuracy, reliability, and trustworthiness standards appropriate for a news organization. Partner with product, editorial, and business teams on feature requirements, accuracy standards, and user feedback—serving as the connective tissue between AI capabilities and CNN’s user-facing and internal products. Partner with Machine Learning, ML Platform, and Data Platform teams for model approach decisions, deployment infrastructure, and production data access. Work closely with the Senior TPM to manage intake, delivery, and cross-team coordination as the portfolio of AI features and tools expands. Lead other engineers on the team by example, code reviews, and coaching, ensuring that code is readable, maintainable, scalable, observable, and resilient. Champion improvements to developer experience, integrations, and testing processes. Leverage vended and open-source cloud technologies to reduce maintenance costs and improve efficiencies, ensuring our products remain cost-effective. Build and scale the team through hiring, onboarding, and establishing team norms for a rapidly growing group Here is the approach we value: Review and provide guidance on production-quality code that adheres to industry standards and best practices (IaC, CI/CD, etc.) Demonstrate a passion for AI-powered product development, with a strong sense of responsibility for the quality and accuracy of what your team ships. Take ownership of issues and be a strong advocate for your team and the products. Embrace failure as a learning opportunity—use research and experimentation to ultimately choose the best solutions that meet company goals. Follow a progressive development methodology, moving from proof-of-concept to prototype to production release. Enhance the effectiveness of your team and our partners by sharing your knowledge, communicating about complex AI technologies and problems in simple terms, and driving technical decisions. Collaborate across functions, squads, teams, and organizations to best serve our users. Qualifications & Experience... 8+ years of progressively complex experience designing, building, and shipping products. 5+ years of experience managing engineering teams, as well as, software engineering experience building production applications, ideally including AI/ML-powered features. 3+ years of experience with cloud infrastructure, deployment pipelines, and production systems. Experience leading engineers who build applications that integrate ML models and/or foundation models (LLMs, GenAI). Familiarity with GenAI application patterns—prompt engineering, evaluation frameworks, foundation model integration, RAG, caching, and cost management. Familiarity with experimentation frameworks and A/B testing methodologies. A proven track record of building web-scale products that are highly available and performant. Passion for growing engineers through mentorship, talent acquisition, and professional development. Experience scaling teams—hiring, onboarding, and establishing culture and processes for a growing group. A collaborative mindset, understanding that great results come from teamwork and a positive culture. Proven success leading complex projects within an engineering team: knowing when to handle issues independently, when to rally the right people for alignment, and when to escalate. Comfort navigating ambiguity in a fast-evolving space—GenAI best practices are still being established. Excellent communication, presentation, and documentation skills The Nice to Haves... Experience building consumer-facing GenAI features in production. Experience with LLM evaluation, prompt versioning, or AI content quality measurement. Experience building internal developer tools or productivity tooling. Familiarity with content classification, summarization, or NLP applications. Experience in a news, media, or content-heavy environment where accuracy and trust are paramount How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

Manager, Software Engineering, AI Solutions job opportunity at Warner Bros. Discovery.

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