Manager, Software Engineering

Welcome to Warner Bros. Discovery… the stuff dreams are made of.

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.

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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 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  “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:

• Launch Recommendations Autofill:
  Support testing and adoption of a CMS component that will allow programming and editorial staff to add several types of recommendations anywhere on the site, filtering by attributes like content type and section.

• Launch Editorially Curated Homepage Module:
  Support testing and adoption of a CMS component that will allow editorial to curate a candidate pool and pin items and recommend from that pool.

• Enhance Site Search:
  Add CTV content types, add keyword / multi‑stage search, and implement a number of other enhancements that our product team is planning now.

• Experiment with Two‑Tower:
  Incorporate additional user context in our personalized recommendations model such as geolocation, time of day and time of year

• Build Bandit Foundation:
  Partner with the platform squad to enhance data access and begin experimenting with bandits for online ranking of recommendations

• Optimize Site Performance:
  Dynamically deliver personalized content alongside cached assets, improving load times and enhancing user experience with features like page‑level deduplication

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

• Support, coach, mentor, and provide valuable feedback to the individuals you manage to help them excel

• Work with cross‑functional partners and stakeholders on activities such as planning, technical strategy, quality and delivery

• Partner with engineers…