The Walt Disney Company

Product Designer

• Work independently with guidance from your design manager and mentor, taking ownership of well-defined problem spaces while continuing to grow your influence and craft
• Apply a user-centered, data-informed design process to understand user needs and translate them into clear, thoughtful design solutions
• Design and ship features and product improvements across web, mobile, CTV, and other supported platforms
• Partner closely with product, engineering, research, and editorial teams to deliver elegant and practical solutions
• Clearly articulate project goals, design rationale, and tradeoffs in critiques, team reviews, and stakeholder presentations
• Rapidly concept solutions at varying levels of fidelity from sketches and wireframes to high-fidelity mockups and prototypes
• Leverage and contribute to our design system, using established patterns and guidelines to ensure consistency and quality
• Proactively seek and incorporate feedback from design critiques and cross-functional partners, and provide thoughtful critique to peers
• Manage your time effectively, estimate work accurately, and communicate project status, risks, and dependencies clearly
• Embrace ambiguity with curiosity, using it as an opportunity to learn and refine your problem-solving approach.

Product Designer, News

QA Engineer

• Design and implement comprehensive test strategies for systems incorporating predictive or adaptive logic.
• Develop and maintain automated test frameworks and tools to support CI/CD pipelines.
• Collaborate with developers, product managers, and data specialists to embed quality from ideation through deployment.
• Conduct exploratory testing and risk analysis for complex, data-intensive systems.
• Monitor and report on quality metrics, identifying trends and areas for improvement.
• Advocate for best practices in software quality engineering, including test-driven development and shift-left testing.
• Stay current with emerging technologies and testing approaches, especially those relevant to AI/ML systems.
• Provide technical direction and problem-solving support across engineering teams.
• Plan and execute strategic continuous improvement initiatives.
• Consult with engineering, operations, and leadership to align quality goals with business objectives.

Senior Quality Engineer

Designer

• Provide concept design support for models, sets, animation, show, ride and scenic elements through the use of various mediums including traditional art, illustration, architecture, drawings, paint, sketches, storyboards, 2D and 3D digital design, graphics and multimedia.
• Work on multiple projects which may include participation in brainstorming sessions for new attractions or entertainment venues.
• Work in collaboration with other team members in developing ideas.

WDI Concept Design Intern

Data Engineer

• Build and maintain high‑performance streaming and batch data pipelines that power AI applications, ensuring reliable low‑latency ingestion and high‑throughput processing.
• Implement and extend embedding generation workflows, vector store integrations, and retrieval pipelines supporting semantic search, RAG systems, and AI assistants.
• Develop and optimize scalable storage and retrieval patterns, focusing on cost‑efficient architecture and smooth production performance.
• Implement AI‑optimized data models and storage patterns that align with broader enterprise architecture and platform requirements.
• Integrate pipelines with shared AI platform services (agent frameworks, registries, feature stores), ensuring clean, versioned, and reliable data delivery.
• Build reusable ingestion, transformation, and data processing components that streamline adoption across engineering teams.
• Embed end‑to‑end observability into data systems, including metrics, structured logging, automated alerts, drift detection, and failure analysis.
• Implement robust data quality validation, schema evolution safeguards, and governance/compliance controls.
• Ensure deployed pipelines meet high standards for reliability, recoverability, auditability, and long‑term maintenance.
• Drive execution by owning the full development lifecycle: prototyping, implementation, testing, deployment, optimization, and documentation.
• Collaborate closely with infrastructure, ML engineering, product, and governance teams to deliver production‑ready AI capabilities.
• Lead by example through strong execution, high‑quality code, and proactive problem solving.
• Influence design direction through technical proposals and hands‑on delivery rather than formal ownership of standards.

Senior Data Engineer

General Counsel

• Lead negotiations and draft industry-first content distribution and licensing agreements with programmers.
• Provide strategic legal counsel to the Content Partnerships team and cross-functional stakeholders to support the growth and management of Disney’s direct-to-consumer content offerings.
• Partner closely with executives and deal teams throughout all phases of distribution and licensing transactions.
• Serve as a primary legal point of contact for cross functional teams on assigned deals, translating contractual requirements into practical guidance and helping drive consensus across legal, content, product, and operations.
• Exercise independent legal judgment on key initiatives, prepare recommendation memos for senior legal and business stakeholders and flag key matters for escalation as appropriate.

Senior Counsel, Distribution

Business Development Rep

• Drive annual business results for the key lines of business
• Conduct sales calls with existing agencies to maintain, strengthen and grow client relationships within the Disney portfolio
• Build and implement strategic sales and marketing plans to achieve annual operating plan targets
• Identify, develop, and implement new sales growth initiatives that are measurable, actionable, and aligned to business priorities
• Analyze and solve sophisticated business challenges by developing data-driven cases and recommendations
• Deliver product and technology training to clients, with a focus on luxury offerings within the Disney portfolio
• Handle program budget and be accountable for timely forecasting, tracking and reporting
• Improve product and promotional opportunities through client tactics and effective communication
• Conduct or support regional training events, including Agent Education Programs, Familiarization trips (FAMs), ship tours, and other industry events
• Serve as a liaison and field support partner for licensed product of Lindblad Expeditions
• Provide support as needed in the Adventures and Expeditions space for fellow Sales Business Development Managers

Sales Business Development Manager – Travel Agency Sales

Machine Learning Engineer

• Drive innovation and apply state of the art AI and machine learning across advertising domains, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery
• Invent and iterate on novel solutions to complex advertising challenges with rapid prototyping and deployment cycles
• Design, build, and scale robust ML systems that power core ad platform capabilities
• Champion engineering excellence through best practices in code quality, system design, and operational reliability
• Mentor and support junior engineers, fostering a culture of continuous learning and technical growth

Senior Machine Learning Engineer

Platform Engineer

• Write and Maintain Software Solutions : Design, write, test, and deploy high-quality code to develop reliable, maintainable software solutions.
• Collaborate with Cross-Functional Teams : Work closely with platform engineers, product teams, and data scientists to ensure technical solutions effectively support business goals and content strategies.
• Production Support : Monitor and optimize production systems, ensuring platform stability, performance, and uptime.
• Mentorship: Provide technical guidance and mentorship to junior engineers, fostering a culture of collaboration and continuous learning.

Senior Software Engineer – Content Platform Engineering

Security Operations

• Responsible for the daily operational activities for TWDC endpoint tooling.
• Conceptualize and engineer solutions to improve security posture and assist in projects from conception to design to implementation.
• Perform deep analysis of systems to understand limitations and weaknesses to identify cyber security challenges that need to be addressed.
• Inform security risk decisions and influence technical architecture.
• Solve information security problems before they surface by using cutting edge strategies to address emerging cyber-threats.
• Participate in the development of engineering designs for new solutions to ensure security requirements are built-in from the beginning.
• Continual self-education of emerging technologies to assist in the development of secure configurations (i.e. Cloud Web Services, IoT devices, mobile applications, control systems, etc.).
• Monitor industry trends and identify best practices and/or methodologies to implement in-house.
• Works with other engineers within the organization to prioritize work to improve the security posture of The Walt Disney Company.

Security Engineer – Security Operations

• Work alongside our first-class applications, infrastructure & operations teams to understand current manual processes and business requirements
• Architect, design, and implement reusable machine learning frameworks, patterns, and services that integrate into the enterprise automation and observability platforms
• Design, train, and deploy machine learning models for anomaly detection, forecasting, predictive analytics, event correlation, pattern recognition, classification, causal analysis, and more in distributed environments that can be used to surface leading indicators of failure
• Build near-real-time inference pipelines that generate actionable insights from live telemetry, including continuous streams of metrics, logs, traces, and operational events
• Create data abstractions and perform feature engineering on high-volume, high-cardinality telemetry data
• Evaluate model performance using real production signals and continuously iterate to improve accuracy and reliability
• Build closed-loop, event-driven systems where model signals trigger automated remediation actions
• Partner with infrastructure and SRE teams to identify opportunities and integrate machine learning and AI-driven insights into operational tools, workflows, and dashboards
• Analyze incident and historical data to uncover leading indicators and predictive signals
• Own the full machine learning lifecycle: experimentation, validation, deployment, monitoring, and retraining
• Breakdown targeted, manual processes into reusable software modules that leverage machine learning models
• Build emulation and simulation environments (digital twins) of the infrastructure to test AI/ML-driven automation under realistic scenarios and allow for faster ideation and iteration for architects and engineers.
• Develop algorithms and frameworks to integrate machine learning and AI technologies into our orchestration platform
• Ensure service reliability, performance, and operational uptime through code-driven solutions.
• Conduct root cause analysis, design fault-tolerant architectures, and enable self-healing automation.
• Implement monitoring dashboards and KPIs to provide visibility into automation and tooling performance.
• Collaborate with cross-functional teams including network engineers, software developers, machine learning engineers, and operations teams across the enterprise.
• Support the integration of commercial and open-source tools while maintaining a vendor-agnostic implementation.

Data Scientist

• Drive innovation and apply data science and statistical analysis in a variety of areas to enhance every aspect of advertising serving, including inventory forecasting, ad experience, ad pacing, pricing, targeting, advertising creation and enhancement, and efficient ad delivery
• Translate business questions into data science framework; develop data analysis and data models for complex ad challenges with fast turnaround
• Develop rigorous evaluation pipelines for generative AI technologies, including visual generations (image, video) and/or LLM-based agentic generations
• Define and evaluate key metrics in various product areas
• Partner closely with generative AI specialists to support the creation of datasets for generative AI modeling applications
• Develop Standard Operating Procedures for human-driven evaluations or labeling
• Deliver data insights and provide data-driven recommendations to cross-team stakeholders
• Design and analyze A/B tests for machine learning algorithm iterations
• Establish strong partnership with stakeholders, including product managers, engineers and program managers, in a collaborative environment
• Mentor team members and support their technical growth

Lead Data Scientist, Ad Research

Frontend Engineer

• Leading by example, supporting their peers, and striving to improve code and design towards more scalable, clean, and decoupled implementations
• Facilitating discussions and driving resolution, making sure outcomes are clear and well-communicated
• Designing, implementing, and testing full stack solutions to various engineering problems in a high-throughput, low-latency microservices environment
• Reading and understanding product user stories, translating them into actionable tasks, and leading the team through their execution
• Enhancing systems’ observability with proper metrics, monitors, and alerts
• Available for On-Call rotations based on the team’s escalation policy and support schedule

Lead Full Stack Engineer, Front-end UI

Architect

• Work with users, partners and senior business stakeholders for a particular group of value chains within Enterprise Technology of Source to Pay and Travel
• Apply in depth understanding of how SAP Finance integrates with broader functions
• Interprets internal or external business issues and recommends best practices to improve products, processes or services
• Leads others to solve complex problems, uses sophisticated analytical thought to exercise judgement and identify innovative solutions
• Investigate and resolve production related issues in a timely manner from end user (UI) to persistence layer
• Participate in the technical recovery of major system outages, interfacing with numerous stakeholders including external vendors or outsourced service delivery teams
• Develop and maintain application documentation to help ensure that support can be efficiently performed and the impact of future requests can be assessed
• Monitor service performance and recommend areas of focus for continuous improvement initiatives, including application performance management
• Oversee vendor/partners in the timely resolution of incidents/problems/requests, ensuring service level and quality targets are met
• Gather requirements for minor enhancements and oversee the resultant product from the vendors
• Participate in testing as required by the test strategy
• Drive the adoption of agile development methodologies, focusing on improving the velocity and quality of delivered work products through DevOps practices and automated testing
• Partner with the application security team on the implementation of “security by design,” ensuring that all solutions meet security standards
• Participate in periodic problem analysis meetings and post implementation reviews to document learnings and ensure the continuous improvement of the IT services
• May lead functional teams or projects with moderate resource requirements, risk and complexity
• Establish and manage effective working relationships in a matrix environment with other departments, groups and staff with whom work must be coordinated or interfaced.
• Comfortable influencing to achieve desired outcomes.

Lead Business Architect – Source to Pay

Software Engineer

• AI-Enabled Process Innovation Architect AI-first process reengineering strategies, moving beyond automation to fundamentally redesign workflows for scalability and intelligence.
• Integrate cutting-edge technologies—including Microsoft Copilot, predictive analytic, Lovable, Canva—to enhance operational decision-making and streamline execution.
• Develop AI agents that will improve process and systems flow to gain automation capabilities and drive efficiencies.
• Partner with cross functional teams, design and pilot the systems that improve processes and identify high impact opportunities for automation.
• Apply foundation models based on generative AI to expand use cases across various technology platforms and applications.
• Collaborate with stakeholders and role owners to embed AI capabilities into core business processes.
• Champion Lean Six Sigma or similar methodologies to drive enterprise-wide efficiency, reduce waste, and optimize end-to-end workflows.
• Experience working with interdisciplinary teams to execute product design from concept to production.
• Drive improvements in software/hardware lifecycle, engineering, and operations to create product development roadmaps that deliver technology to our customers.
• Lead cross-functional initiatives using advanced tools such as SIPOC, DMAIC, and Value Stream Mapping to deliver measurable quality improvements and defect reduction.
• Lead in developing a Product Centric approach by advocating for product lifecycle process and act as a facilitator between services, platforms, product, stakeholder teams and customer.

Senior Analyst – Continuous Improvement Engineering

• Oversee the optimization and organization strategy for help articles across Hulu and Disney+ internal knowledge base.
• Analyze and drive content audits, developing overarching UX and Information Architecture strategies to improve help articles to increase customer resolutions.

Product Designer, News

Senior Quality Engineer

WDI Concept Design Intern

Senior Data Engineer

Senior Counsel, Distribution

Sales Business Development Manager – Travel Agency Sales

Senior Machine Learning Engineer

Senior Software Engineer – Content Platform Engineering

Security Engineer – Security Operations

Senior Machine Learning Engineer

Lead Data Scientist, Ad Research

Lead Full Stack Engineer, Front-end UI

Lead Business Architect – Source to Pay

Senior Analyst – Continuous Improvement Engineering

Knowledge Architect