The Walt Disney Company

Paralegal

• Drafting resolutions, consents, certificates, minutes, and other forms of international corporate governance documents
• International subsidiary maintenance, including entity formation and dissolution
• Corporate transactional support, including obtaining governance approvals and maintaining transaction checklists
• Manage legal entity audit reporting, including coordination with internal and external auditors

Paralegal Specialist

Product Manager

• Define clear and detailed product specifications, user stories, and acceptance criteria
• Foster strong relationships with stakeholders across Disney, including marketing, operations, localization, design, engineering, and other product teams
• Communicate project updates, progress, and timelines effectively to all relevant parties
• Fill in gaps across roles and functions as needed, performing as an adaptive problem solver
• Translate Marketing use cases and messages into technical data requirements

Senior Product Manager, Lifecycle Product

Marketing Operations

• Building and deploying automated campaigns, Engagement Studio journeys, and dynamic segmentation within MCAE
• Partnering with cross-functional teams to translate business goals into scalable marketing automation programs
• Creating and maintaining reports and dashboards in Salesforce to monitor campaign performance and provide actionable insights
• Continuously optimizing campaigns through A/B testing, data-driven targeting, and integration of MarTech signals
• Ensuring campaigns deliver measurable advertiser value while aligning with overall Sales Communications and growth strategies
• Partner with CRM Manager, Sales, Customer Success, Content Marketing and Product teams to analyze business and marketing data to identify key drivers, mechanics and associated dependencies for driving conversion, successful campaign creation, retention, and re-purchase
• Manage marketing automation including email triggers and batch campaigns throughout the customer lifecycle via MCAE and Salesforce
• Effectively perform and translate analytics into clear insights and actionable improvement recommendations on a regular cadence
• Project impact and results from various tactics and advocate for prioritization of martech/product needs
• Serve as Marketing liaison with Product and Engineering to drive new features, enhance automation, and optimize MCAE–Salesforce integration
• Drive continued innovation in evolving marketing programs most effective at engaging the SMB & agency audiences at scale, such as identifying customer segments for targeting marketing programs and planning customer offers/incentive programs to deliver ROI

Customer Lifecycle Marketing Automation Manager

Engineer

• Manage the design and engineering of complex rockwork structures
• Manage technical coordination of rockwork design documents, models, specifications, and basis of design with various disciplines and Rockwork Contractor
• Lead the technical coordination of rockwork design and construction
• Organize and develop project design criteria, engineering work plans, rockwork schedules, and meetings
• Facilitate quality assurance and control of design documentation and field construction
• Direct project team members on coordination and integration activities related to the scope of work
• Participate in regularly scheduled project meetings with project team, consultants, and contractors
• Provide project teams with rockwork design and construction details, lessons learned, and standards information
• Monitor work progress to ensure technical quality and production requirements are met
• Answer construction bid period questions and resolve field issues
• Provide technical direction to in-house engineers and designers

Senior Rockwork Engineer – Project Hire/Internal Assignment

Engineering Manager

• Oversee development of feature-rich native Android, iOS, tvOS, Android TV, Fire TV, Roku, and Kepler applications
• Lead and Identify areas for growth within the team processes and develop new systems for collaboration
• Work with developers to create sustainable, well-architected solutions that are built to last
• Manage production issues and solve novel problems
• Act as the main point of contact for multiple (2-3) agile teams participating in the full lifecycle of application development
• Mentor associate, mid-level, and senior team members and support developers through code review and pair programming
• Create opportunities to learn and teach others and open doors for advancement and growth
• Collaborate with stakeholders across cross-functional teams to set expectations and navigate dynamic projects

Manager, Software Engineering – Living Room Devices, Mobile

Full-stack Engineer

• Own and orchestrate the implementation of innovative and complex projects spanning multiple cross-functional teams and components
• Mentor and inspire colleagues in all aspects of enterprise software engineering, including software and system design
• Interpret product requirements and collaborate with team leads to break them down into actionable implementation tasks and drive execution
• Design, implement, and review code and unit tests
• Design robust, scalable, fault tolerant, de-coupled and performant distributed systems
• Evaluate code and test implementations to ensure best practices and optimal performance
• Improve system observability by implementing comprehensive metrics, monitoring, and alerting solutions
• Research, prototype, and recommend innovative solutions to optimize ad serving systems by improving efficiency, maintainability, and feature deployment speed
• Define, review, and document software and system architectures, focusing on high-throughput, low-latency microservices
• Provide on-call engineering support as needed

Principal Software Engineer

Social Media Manager

• Participate in ideation sessions with the marketing teams.
• Show creative thinking skills and social media savvy while working across a range of social platforms.
• Assemble content for our socials firsthand!
• Ideate content concepts for Disney products on social platforms and analyze performance.
• Capture and edit content, producing multiple deliverables weekly.
• Build a community for social platform handles, engaging with content, and connecting with followers.
• Provide generational knowledge into Gen Z trends and way of thinking.
• Work with the team to develop social media plans/calendars.
• Develop influencer lists for gifting opportunities tied to our products.

Social Media Marketing Strategy Intern

Manager

• Drive the creation of quarterly product strategy, line architecture, assortment plans and cross category integration for Apparel and Accessories, ensuring immersive storytelling for the brands best expression
• Lead the team in developing regional product creation strategies and activations with vendors and licensees to drive product differentiation and frequency
• Create the merchandise strategy and assortment curation for Apparel and Accessories to deliver a comprehensive tiered assortment strategy for all channels: e-commerce, brick and mortar locations, and marketplace.
• Assess marketplace trends, competitive activity and demographic insights to inform product strategies
• Partner with Hardline counterpart in the development of seasonal 'big bets'
• Collaborate with O & O Merchandising and licensed partners to deliver a fresh co-branded landscape to drive brand excitement
• Deliver product assortment strategies that meet divisional thresholds and best price/value ratios to consumer
• Align divisional merchandising strategies with financial goals that optimize investments and maximize sell-through and productivity
• Foster collaboration with cross functional partners, planning, marketing, and site merchandising to deliver product execution as well unlock opportunity
• Lead and mentor Buying Manager, and other team members fostering high performing, accountable and inclusive culture
• Inspire innovation, creative thinking and operational excellence across the team
• Role-model company values and contribute to ongoing divisional process improvement

Senior Manager, Merchandising and Buying

Designer

• Support various Theme Lighting design projects by assisting in project design development and technical documentation
• Assist with the preparation of Theme Lighting fixture selection information and documentation
• Provide design documentation in the form of illustrations, photographs, scaled images, research, and documentation on assigned projects
• Perform various basic technical tasks and documentation including plotting elevations, showing fixtures in scale, reading a plotting reflected ceiling plans, elevations, and area development plans
• Support the Theme Lighting project leads with scope tracking and cost estimating process
• Assist the Specialty Design Production team supporting fixture procurement, vendor oversight, and shipping coordination

WDI Theme Lighting Design Intern

Human Resources

• Conduct complex and sensitive workplace investigations with little supervision, including determining appropriate investigation strategies, leading witness interviews and document review, and determining findings and recommendations for appropriate resolution
• Partner collaboratively with HRBPs, Labor Relations, Studio/Network Executives and/or Show Leadership, Legal, Global Security, Information Security, Management Audit, Communications, Diversity & Inclusion and other stakeholders to execute thorough investigations and influence decisions where appropriate
• Draft well-written investigation-related documents, such as leader/HRBP talking points, written warnings, and case executive summaries with little supervision
• Input cases into the ER database case management system accurately and timely
• Respond to employee complaints with federal, state and local administrative agencies as needed
• Manage complex situations related to reasonable accommodations for individuals with disabilities and leave of absences
• Guide HRBPs on complex performance management issues, including conflict management and performance improvement plans
• Provide crisis management support to employees, leaders and HR Business Partners
• Promote knowledge and understanding of Company policies and of relevant employment laws through coaching, presentations, and training
• Assist with the data reporting and analytics of ER cases for themes, trends and root causes to provide insights and recommendations for decision making and ER risk prevention
• Build strong relationships with key ER partners, including Human Resources, Legal, Global Security, Information Security, Communications, Diversity & Inclusion and others
• Assist with other ER project work and consultations related to creating an inclusive and respectful employee experience
• May occasionally take on investigations for non-U.S. based productions as needed

Manager, Employee Relations – PH

Data Analyst

• Join a newly created team dedicated to the Disney+ Subscriber Perks program, where you'll transform complex data into strategic business decisions that shape the future of our perks program.
• Collaborating closely with cross-functional partners in Commerce, Product, Marketing, and Engineering, you'll architect and execute sophisticated experiments that optimize every aspect of our perks program—from initial acquisition through long-term engagement with subscriber perks.
• As part of Disney's rapidly evolving streaming ecosystem, you'll tackle complex business challenges that directly impact millions of subscribers across Disney+, Hulu, and ESPN+.
• Your insights will shape product roadmaps, user experience optimizations, and partnership decisions that drive measurable business growth.
• Lead end-to-end A/B testing initiatives and Geo Experiments, from hypothesis formation and experimental design to statistical analysis and business recommendations.
• Leverage advanced techniques including difference-in-differences, instrumental variables, and quasi-experimental designs to extract actionable insights from observational data.
• Partner with Product, Marketing, Partnerships, and Finance teams to identify optimization opportunities and translate complex analytical findings into clear business recommendations.
• Present findings and recommendations to senior leadership, effectively communicating statistical concepts to non-technical stakeholders.
• Develop automated experimentation pipelines, causal inference framework, and user-facing tools that can scale across marketing platforms.

• Join a newly created team dedicated to the Disney+ Subscriber Perks program
• Collaborating closely with cross-functional partners in Commerce, Product, Marketing, and Engineering
• Lead end-to-end A/B testing initiatives and Geo Experiments
• Leverage advanced techniques including difference-in-differences, instrumental variables, and quasi-experimental designs
• Partner with Product, Marketing, Partnerships, and Finance teams to identify optimization opportunities
• Present findings and recommendations to senior leadership
• Develop automated experimentation pipelines, causal inference framework, and user-facing tools

Associate Data Analyst

Machine Learning Engineer

• Utilize cutting edge machine learning methods to develop algorithms for personalization, recommendation, and other predictive systems; maintain algorithms deployed to production and be the point person in explaining methodologies to technical and non-technical teams
• Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets
• Maintain existing and establish new algorithm development, testing, and deployment standards
• Collaborate with product and business stakeholders: Identify and define new personalization opportunities and work with other data teams to improve how we do data collection, experimentation and analysis

Senior Machine Learning Engineer – Personalization

• Own the end-to-end product lifecycle for new decision science products—from discovery and ideation through launch, adoption, and continuous delivery.
• Define product strategy and multi-release roadmaps; translate user and market insights into prioritized backlogs and clear outcomes.
• Lead cross-functional squads (engineering, data science, data engineering, UX) to scope solutions, run experiments/prototypes, and deliver high-quality releases on time.
• Convert complex analytical and technical concepts (forecasting, optimization, machine learning) into intuitive user experiences and actionable business capabilities.
• Integrate user research, usability studies, and market analysis into requirements; champion user-centric design and measurable success criteria (OKRs/KPIs).
• Establish and improve product development practices (agile ceremonies, backlog hygiene, release planning, and change management).
• Guide solution testing and validation (unit, integration, UAT, and A/B testing) to ensure reliability, performance, and business impact.
• Partner with client stakeholders as a strategic advisor; communicate roadmaps, trade-offs, and results through compelling narratives and visuals.
• Develop and mentor team members; foster an inclusive, collaborative culture that embraces learning and experimentation.

Manager, Decision Science Products

Data Scientist

• Build and lead a team of Data Scientists that inform, influence, and support business priorities across projects and platforms using data to validate hypotheses and provide effectiveness/efficiency solutions.
• Manage the execution of the project roadmap, ensuring project delivery is in-line with business objectives and key results.
• Approach model and project development from a client-focused process including needs assessment, requirements gathering, prototyping, UAT and partner engagement.
• Proactively identify opportunities that can benefit from data science modeling and AI applications and manage the execution and implementation for impact.
• Work effectively across multiple business units with numerous stakeholders to deliver advanced analytics and modeling solutions.
• Foster a culture of collaboration by developing cross functional partnerships with business units to ensure impactful, positive business outcomes are prioritized.
• Function as an expert and collaborate with the team to assess how models and methods can be adjusted for better predictive power and accuracy.
• Lead the development of our predictive algorithms and machine learning applications across different areas with the aim of helping our stakeholders execute better, smarter and faster.
• Design and implement scalable frameworks for Next Best Action/Offer (NBA/NBO) decisioning, connecting propensity scores to optimal customer interventions.
• Continuously improve existing and architect and prototype new models, working with data science and cross-functional engineering teams to operationalize models into production.