Software engineering manager [h1.location_city]

Engineering Manager For Products Squad

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 ML and AI technologies. Our current products include popular, related and personalized content recommendations, contextual ad targeting, and site search-serving millions of CNN users via CNN web and mobile apps. This year we are partnering with teams across the company to democratize AI at CNN. Our "multiplier" approach allows our team to have outsized organizational impact by providing domain expertise, enabling teams, collaborating deeply, and building shared infrastructure.

The team is composed of multiple squads : a platform squad along with cross-functional squads that leverage the platform to develop products. As the Engineering Manager for a products squad, you will manage 5+ engineers with varied backgrounds and focuses :

• Machine learning engineers focusing on traditional model development and AI engineering with foundational models
• Engineers of various backgrounds who are now focused on AI integrations
• Backend engineers focusing on data availability, API development and client integrations
• Full stack engineers who contribute to our CMS

You will collaborate effectively with product managers, program managers, designers and engineers across squads and teams to plan and execute on traditional machine learning and AI engineering with foundational models. And you will grow the squad as needed to support the increasing demand for machine learning work.

Here are some of the key challenges our team will tackle this year :

Here are some of the things you can expect to do on a day-to-day basis :

Here is the approach we value :

The Essentials

We're looking for someone with :

The Nice to Haves

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.