Warner Bros. Discovery

Analyst

• Conduct analyses for the Global Insights team on Brazil’s basic brands
• Provide ad hoc support to Brazil teams across adult basic brands, including programming, communications, marketing, and related areas, across both Pay TV and platforms such as YouTube
• Update and maintain reports for WBD brands
• Support ad hoc studies by providing and preparing relevant data
• Support in LATAM analyses
• Assisting in meetings with content teams areas
• Participating in the step-by-step process of behavioral studies

Junior Analyst, Data & Insights

Producer

• Support the end-to-end management of original production projects in LATAM
• Provide operational support to production companies throughout the full project lifecycle
• Track deliverables and milestones, review materials with internal stakeholders
• Ensure required information is updated in Seenchronize
• Maintain and organize up-to-date project information across shared platforms (Teams, Monday, internal folders, etc.)
• Ensure the use of standardized internal tools, systems, and templates by internal production teams and external production companies
• Support financial processes, including cost tracking and invoice supervision
• Coordinate post-production workflows, including Frame.io access management, review cycles, delivery tracking, and material distribution

Senior Producer, Local Scripted Original Production

Sales

• Responsible for supporting the execution of the retail sales strategy across LATAM agent markets
• Ensuring the achievement of business objectives and alignment with Warner Bros.’ regional and cross-divisional priorities
• Drive growth through close coordination with internal teams, agents, and commercial partners
• Optimizing investments, defining commercial priorities, and strengthening key relationships
• Ensure consistent, high-impact execution at the point of sale, maximizing visibility, conversion, and franchise performance within the retail ecosystem
• Manage and optimize the retail investment budget, ensuring return on investment (ROI)
• Define, monitor, and ensure achievement of sell-in financial targets in collaboration with agent teams
• Develop strategic plans of up to 24 months with key retailers to drive sustainable growth
• Coordinate with global, regional, and divisional teams (marketing, theatrical, promotions, among others) to implement integrated initiatives
• Assess competitive activities and propose corrective or improvement strategies
• Drive the execution of retail programs, cross-category solutions, and point-of-sale conversion initiatives
• Build and manage strategic relationships with retailers, licensees, and internal stakeholders

LATAM Sales Agent, Manager

• To assist the Category Manager in sales follow-up related duties and clerical work.
• Assists in key activities to secure onboarding of new licensees and support existing ones to place incremental products on shelves.
• Follows up sales negotiations with certain licensees by filling up deal requisition forms, collecting financial information and submitting negotiations to Burbank for corporate approval.
• Leads certain non-key category negotiations from beginning to end through the scouting, pitching, sales, contract admin and post sales process.
• Assists the category managers for tracking deal requisitions and contracts in Burbank headquarters.
• Schedules meetings and conference calls on behalf of the category managers.
• Collects samples from active licensees and competitive products from competitors.
• Ensures all products are submitted through the proper Brand Assurance system for correct approvals.
• Assists with the development of presentations for the category managers.
• Assists with preparing the different forecasting cycles along with the category manager.
• Ensures that selected licensees are submitting forecasts through SEEKER.
• Helps the Retail Analytics team in training and following up information submission from licensees into our system of retail SKUs.
• Coordinates mass mailings to licensees, distributors & retailers.
• Collects industry information regarding product market share and marketing materials.

Senior Analyst, Sales & Marketing – Temporary

Full-stack Engineer

• Build product features in close collaboration with TPM, SDM and product stakeholders
• Advocate best practices for Player Architecture, Design & Development
• Work with internal and external stakeholders in architecting, designing and developing the Player SDK
• Own all aspects of the product development from concept, and drive it through development, testing, acceptance, adoption and iterative changes
• Sheer focus on Operational excellence and metrics driven
• Focus on Engineering excellence, keep tab on Architecture / Design trends, Always look out for improvement scopes, keep tab on Protocol spec & suggest new features
• Be Self Critical about your work and obsessed about continuous improvement
• Customer Obsession - Anyone who uses Player SDK is your customer, always respond positively to your internal customers (Testers, Client App Developers, Product Managers, etc) & be receptive to feedback, be obsessed to improve playback experience for end users

Staff Software Engineer – iOS

Machine Learning Engineer

• Serve as a senior individual contributor driving the design, experimentation, and delivery of advanced machine learning solutions for media intelligence and localization use cases.
• Help lead science innovation in our space across a large multidisciplinary team.
• Work across a broad set of challenges, including developing state-of-the-art LLM techniques for multimodal insight extraction, building deep transformer models to understand dialog context, creating representations for downstream tasks, and generating translations that balance cultural appropriateness, naturalness, and artistic intent.
• Shape technical strategy, define modeling approaches that advance the state of the art, and turn research into scalable, production-ready ML systems with measurable product and customer impact.
• Lead end-to-end design and delivery of production-grade Gen AI based Media processing systems that supports language localization capabilities like Closed Captioning, Language translation, or Dubbing.
• Be a key leader on a multidisciplinary team across science, product, design, and engineering to see through ideas from inception, prototype, to launch.
• Own architectural design and evolution of ML services, APIs, and pipelines, ensuring scalability, reliability, and extensibility for current and future localization use cases.
• Drive the science roadmap across multiple teams, helping coordinate a cohesive science agenda across the org.
• Establish and operate robust production evaluation frameworks, covering model quality, drift detection, inference performance, and system-level metrics with and without ground truth.
• Lead, mentor, and grow a team of Applied data scientists, Machine Learning Engineers, setting clear technical direction, delivery standards, and career development paths.
• Motivate, inspire and create a culture of experimentation and data-driven innovation while constantly striving to be an advocate for doing what is right for our customers.

Principal Machine Learning Engineer

• Lead end-to-end design and delivery of production-grade Gen AI based Media processing systems that supports language localization capabilities like Closed Captioning, Language translation, or Dubbing.
• Lead data science experimentation by designing experiments, defining success metrics, iterating on model improvements, and transitioning validated approaches into scalable production ML pipelines.
• Establish and operate robust production evaluation frameworks, covering model quality, drift detection, inference performance, and system-level metrics with and without ground truth.
• Lead, mentor, and grow a team of Applied data scientist, Machine Learning Engineers, setting clear technical direction, delivery standards, and career development paths.
• Motivate, inspire and create a culture of experimentation and data-driven innovation while constantly striving to be an advocate for doing what is right for our customers

Manager, Machine Learning Engineering

• Support audit in the timely completion of researching, gathering and reconciling of data/reports, documents, and materials as requested.
• Assist Senior Analysts during audit fieldwork by pulling support from SAP and other systems. Requesting audit backup from Warner business units.
• Perform ad hoc analyses and special projects as assigned.

Audit Analyst

Technical Program Manager

• Managing multiple projects within MSC as a Program
• Implementing activities that are scoped to the important components and processes of more than one team
• Working on projects that are important, complex and have cross-team dependencies
• Making an impact at a functional level and delivering features with complexity that can touch several areas
• Driving clarity and defining problems proactively
• Implementing processes that generally impact a set of teams within the same area
• Collaborating with key leaders in teams that directly interact with the immediate team
• Managing meetings across multiple business and technical teams and ensuring productive discussions

Senior Technical Program Manager

• Support the game development and release process within the studio
• Ensure regular game updates in a live setting
• Improve the product delivery pipeline with a continuous delivery mindset
• Work closely with QA, Production, internal and external teams to prepare each build release for the customer
• Track work within a given deployment and communicate status to key stakeholders
• Manage the process to merge code/data for releasing updates to the public
• Work with development, production, and QA in the bug triage process
• Coordinate with community management to create release notes, list known issues, and make knowledge base updates
• Communicate issues to necessary parties and key stakeholders
• Assess risks of release schedule, milestones, and deployment plans

Game Engineer

• Design, prototype, and implement gameplay mechanics with focus on 3Cs, player abilities, and interactions.
• Partner with design leadership to help define pillars, player experience goals, and feature plans that support the broader vision for the game and build on established gameplay mechanics systems.
• Translate high-level creative direction, team feedback, and cross-discipline conversations into clear design documentation, specs, and implementation plans.
• Work closely with discipline leads and stakeholders across the studio to gather input, vet proposals, and align gameplay systems with the broader needs of the project.
• Work closely with production to prioritize features and keep milestones on track.
• Help improve tools, pipelines, and documentation for implementation and iteration, and share those processes with the team.
• Collaborate with engineers, animators, artists, VFX, audio, UI, and other designers to solve gameplay-related technical and design problems.
• Partner with the broader team to tune and refine systems based on leadership & peer feedback, playtest results, and data analysis.
• Contribute to progression, reward, and other connected gameplay systems that complement the moment-to-moment gameplay experience.

Senior Designer, Gameplay

Product Manager

• Own and execute against feature roadmaps for converged planning, forecasting, and reporting systems, ensuring delivery aligns with monetization priorities, operational efficiency, and established product strategy.
• Collaborate with Engineering, Data Science, and Client Engineering to deliver scalable, API‑driven workflows supporting billions of monthly ad impressions across linear and digital platforms.
• Translate advertiser, agency, and sales team needs into clear, actionable product requirements; ensure delivered features improve productivity and campaign performance for global sales and operations users.
• Use KPIs, usage metrics, and structured feedback loops to prioritize features within the assigned product area that improve yield optimization, sales velocity, and ROI.

Senior Product Manager

Data Engineer

• Architect and lead the development of Converged AdTech’s new Consumer Data Spine, enabling unified identity resolution across millions of devices
• Design and implement clean room infrastructure to support high-fidelity audience activation, measurement, and attribution with agency partners
• Collaborate with product, engineering, legal, and privacy teams to ensure compliance with CCPA, CPRA, GDPR, VPPA, and emerging regulations
• Define and enforce architectural standards for data interoperability, scalability, and security across AdTech systems
• Partner with internal stakeholders to align data infrastructure with business goals for targeted advertising and campaign performance
• Mentor engineering teams and contribute to the strategic roadmap for data platform capabilities
• Deliver production-ready infrastructure supporting the launch of new audience solutions and advertiser integrations

Principal Architect, Consumer Data Platform, Measurement & Attribution

• Define and champion a bold, fan-centered product vision for how next-generation UX, seamless customer journeys, and intelligent content discovery will set Bleacher Report apart as the definitive sports destination.
• Own the end-to-end product roadmap for navigation, search, and content discovery—delivering features that help fans find what they love faster, follow their teams deeper, and never miss a moment.
• Redesign and optimize fan customer journeys from first launch through long-term loyalty—spanning onboarding, team/player following, personalized feeds, push engagement, and re-activation.
• Lead a step-change improvement in search experience—including real-time sports query understanding, entity recognition (teams, players, games, scores), and contextually ranked results that serve fans in the moment.
• Define and execute a content discovery strategy powered by AI/ML—including algorithmic feeds, trending content surfaces, related content modules, and cross-sport exploration pathways.
• Partner with design to raise the bar on navigation architecture and information hierarchy, ensuring every surface—home, team pages, live coverage, and video—is intuitive and conversion-optimized.
• Collaborate across functions as a connective force between editorial, engineering, design, data science, growth, and business development teams.
• Translate fan research, behavioral data, and technical possibilities into crisp, actionable product requirements that balance innovation, feasibility, and measurable fan value.
• Define success metrics and experimentation frameworks—driving a rigorous test-and-learn culture across engagement, retention, session depth, and discovery effectiveness.
• Serve as a thought leader on responsible personalization—ensuring algorithmic systems respect fan trust, avoid filter bubbles, and uphold editorial integrity.

Principal Product Manager

• Architect, build, and scale recommendation systems powering personalization and search experiences
• Design modular, scalable ML repositories built for rapid iteration, fast deployment, and production experimentation
• Establish coding standards, testing frameworks, code review workflows, and CI/CD pipelines
• Build infrastructure abstractions and components that allow seamless transition from model training to large-scale serving
• Collaborate with other ML engineers, data scientists and product managers to drive complex ML projects
• Partner with product and engineering leadership to define, plan, and deliver against long-term strategic goals
• Mentor and influence engineers across organizations by demonstrating high-quality work