Staff Product Manager

Who We Are :

When we say, the stuff dreams are made of, were not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth.

Behind WBDs 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 whats 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.

Staff Product Manager.

Role Description :

Content Intelligence team is seeking a Staff-level Technical Product Manager (PMT) to support the execution of AI/ML capabilities that power global content workflows.

This role focuses on language localization (e.g., captioning, subtitling, translation, dubbing) and video understanding use cases (e.g., scene detection, metadata tagging, ad/binge marker detection).

This is a highly execution-focused role.

The ideal candidate is detail-oriented, comfortable working closely with engineering and program management, and experienced in writing clear product requirements for AI/ML systems or backend platforms.

Key Responsibilities :

- Partner with engineering and program managers to support execution across sprint cycles, including backlog grooming, story writing, and feature clarification.

- Write product requirement documents (PRDs) and define detailed functional and technical specifications for features supporting localization workflows and video AI systems.

- Facilitate near-term roadmap coordination with partner engineering teams.

- Define and track metrics to evaluate AI model performance, post-edit efficiency, and system-level impact.

- Partner with product data science to support experimentation, including aligning hypotheses, metrics, and interpreting results to inform product decisions.

- Work with engineering and system architects to define integration requirements across adjacent systems including order management and editorial tools.

- Assist in evaluating the impact of feature changes within supply chain systems on AI/ML pipelines, and work with partner teams to scope dependencies and downstream effects.

- Collaborate with stakeholders across content operations, marketing, and cross-functional tech teams to gather requirements and incorporate feedback.

- Effectively communicate and manage the uncertainty inherent in AI/ML experimentation.

- Partner with editorial teams to ensure Human in the loop feedback mechanisms align with model training and evaluation objectives.

- Directly support product operations, including triaging user feedback and product bugs, and working with engineering and program management to prioritize fixes and improvements.

Required Qualifications :

- 10- 15 years of product management experience, including experience as a technical PM.

- Strong experience writing PRDs, defining features, and working with engineering through agile sprint processes.

- Familiarity with machine learning algorithms, including deep learning and large language models, in a production environment.

- Experience working on machine learning systems deployed on cloud platforms such as AWS, GCP, especially those involving human-in-the-loop workflows or post-processing pipelines.

- Strong attention to detail, with the ability to manage multiple feature tracks and document decisions clearly.

Preferred Qualifications :

- Background in Computer Science, Engineering, or a related technical field.

- Familiarity with language AI (e.g., ASR, translation, TTS) and/or video AI (e.g., scene segmentation, OCR, metadata tagging).

- Comfortable working with model evaluation metrics such as precision and recall.

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.

We hope they resonate with you and look forward to discussing them during your interview.