Manager, Software Engineering, AI Solutions

Job Description

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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

Additional Information
On December 5, Netflix and Warner Bros. Discovery announced they have entered into a definitive agreement under which Netflix will acquire Warner Bros., including its film and television studios, HBO Max and HBO. The transaction is expected to close after the separation of Warner Bros. Discovery's Global Networks division, Discovery Global, into a new publicly-traded company, which is expected to be completed in Q3 2026. For more details, including leadership appointments and information on individual brands, please visit our newsroom here.
Although you will be hired by Warner Bros. Discovery, upon the planned spin-off of Discovery Global in 2026, your employment likely will transition to Discovery Global. During this period of transformation, you'll have an exciting opportunity to lay the foundation at one of the world's premier entertainment brands.

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

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Jobcode: Reference SBJ-eo8eq2-216-73-216-96-42 in your application.