Manager, Software Engineering, AI Enablement & Machine Learning

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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.

The AI Solutions group is composed of two work streams—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 work streams. 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 work streams 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

• 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…