The Walt Disney Company

Full-stack Engineer

• Deliver software projects with high quality on time
• Provide domain expertise and innovative solutions to complex business problems
• Collaborate with leads and contribute to software architectures which are robust, scalable, fault-tolerant, secured and cloud-native
• Possess Salesforce CRM Analytics solution design and implementation experience
• Reason logically and creatively, identifying problems, drawing valid conclusions from the data available, and develop effective solutions
• Stay up-to-date on the latest software development technologies and trends
• Contribute to code reviews and ensure that all code meets quality standards
• Deliver multiple projects utilizing an Agile methodology
• Take a high ownership, self-sufficient, hands-on position on the team to contribute and drive quality
• Write complex programs, analyze code changes and suggest improvements
• Investigate and resolve any production issues from end user (UI) to persistence layer
• Work with the team to make sure all project deliverables are on time and high quality
• Work collaboratively with cross-functional teams to ensure that software solutions align with business goals

Software Engineer II – Ad Platform, Salesforce CRM Analytics

Director

• Supports the VP, Production & Planning in strategically planning feature films and other projects
• Manages Studio’s production plan templates for features, specials, and shorts projects
• Creates initial production plans and resource schedules
• Collaborates with Finance to translate early show plans into budgets
• Provides recommendations on how to optimize studio resources
• Responsible for data from past projects to generate dashboards, reports, and presentations
• Partners with Production leadership to create consistent production milestones
• Manages a team that owns and supports the production tracking tool

Director – Production, Planning

Manager

• The Solutions & Platforms Manager is a hands-on builder responsible for designing, piloting, and scaling technology-powered tools that support Disney Experiences (DX) Communications.
• This role focuses on execution—developing prompts, prototypes, and automations; running pilots; and transitioning approved concepts into reliable, production-ready solutions that meet DX standards for brand integrity, security, and scalability.
• This role partners closely with the Strategy & Use Cases Product Owner to operationalize prioritized new technology initiatives.
• Build and iterate new technology prompts, prototypes, automations, and early-stage tools that support DX Communications & Public Affairs workflows.
• Execute new technology pilots from concept through adoption decision, including testing, validation, and readiness assessments.
• Partner with relevant internal teams to transition approved pilots into scalable, production-ready solutions.
• Develop reusable frameworks for content generation, insights extraction, issue monitoring, and workflow optimization.
• Monitor solution performance, reliability, and adoption; implement continuous improvements.
• Ensure experimental tools align with DX brand standards, accuracy requirements, and responsible-use guidelines.
• Translate defined business requirements into technical solutions and explain tech capabilities to non-technical users.
• Create documentation, playbooks, and enablement materials to support adoption across DX Communications teams.

Solutions & Platforms Manager – IA, Project Hire

Machine Learning Engineer

• Develop and keep relevant a vision for team in a fast-paced, complex and evolving arena.
• Foster a high-performing team of AI/ML engineers and drive a culture of excellence.
• Define and execute a comprehensive MLOps roadmap.
• Manage a high-performing team in a matrixed environment.
• Design, build, and champion a library of reusable building blocks for scientists and modelers.
• Champion the adoption of a portfolio-wide metrics process to increase visibility of KPIs.

Director, Decision Science AI/ML Engineering – Ops

Security Engineer

• Transform GRC at Disney
• Drive continuous evolution of Disney’s InfoSec GRC program, replacing compliance-centric, checkbox-driven operations with a dynamic, risk-intelligence-led model that directly informs how Disney prioritizes investment, staffing, and remediation.
• Define what “great” looks like, not by referencing existing standards but by advancing them.
• Develop novel approaches to risk quantification, compliance automation, and governance integration.
• Partner with GIS Leadership and Segment CTO teams to ensure the GRC program functions as a strategic business enabler, translating complex risk landscapes into executive- and board-ready insights that drive confident decision-making.
• Champion a culture shift across all of GIS and the broader enterprise: risk awareness is everyone’s job, and GRC’s role is to make risk-informed thinking intuitive, not burdensome.
• Oversee the development and ongoing operations of Disney’s comprehensive InfoSec Risk Management program, including the establishment, implementation, and continuous improvement of the enterprise Risk Management Framework.
• Establish and operationalize risk tolerance frameworks in partnership with executive leadership, defining clear thresholds that translate business appetite into actionable security investment and prioritization decisions.
• Build and mature a cybersecurity risk register that serves as the authoritative source of truth for Disney’s threat and control posture, dynamically integrated with threat intelligence, vulnerability management, and third-party risk inputs.
• Drive risk-based prioritization across all InfoSec operational functions (engineering, red team, SOC, cloud security, etc.) - ensuring that every team’s roadmap is anchored in defensible risk reduction rationale, not reactive urgency.
• Develop executive and board-level risk reporting that is clear, credible, and decision-ready; ensure Disney’s risk narrative is consistent from the CISO to the Audit Committee.
• Lead efforts to quantify InfoSec risk in financial terms (FAIR or equivalent), enabling direct comparison of security investment across Disney’s ubiquitous businesses and against measurable risk reduction outcomes.
• Lead a third-party and supply chain risk intelligence capability that goes beyond questionnaire-based assessments by integrating continuous external attack surface monitoring, threat intelligence on vendor compromise activity, and contractual control requirements into a unified third-party risk posture.
• Oversee the development, maintenance, and lifecycle management of enterprise-wide Information Security policies, standards, and guidelines, ensuring they are risk-based, clear, and aligned to business realities (not just regulatory checklists).

Executive Director, Info Security

• Collaborates closely with product and project management to translate requirements into technical specifications and timelines while partnering with other engineering teams to deliver best solutions.
• Leads by example to write, maintain, and enforce code quality through test driven development.
• Contributes to project needs and the evolution of the team's practices; recommending changes in development, coding, maintenance and system standards.
• Efficiently supports software throughout the lifecycle.
• Adds new implementations and technical maintenance while maintaining clear documentation.
• Applies experiences and exercises judgment in selecting methods and techniques to identify, resolve, and develop solutions to a variety of complex tasks involving architectural application changes.
• Supports and mentors developers through code reviews, knowledge-sharing, and technical leadership.
• Review code and pull requests to ensure product and design specifications are met.

Senior Product Software Engineer

• Collaborates closely with product and project management to translate requirements into technical specifications and timelines while partnering with other engineering teams to deliver best solutions.
• Leads by example to write, maintain, and enforce code quality through test driven development.
• Contributes to project needs and the evolution of the team's practices; recommending changes in development, coding, maintenance and system standards.
• Efficiently supports software throughout the lifecycle.
• Adds new implementations and technical maintenance while maintaining clear documentation.
• Applies experiences and exercises judgment in selecting methods and techniques to identify, resolve, and develop solutions to a variety of complex tasks involving architectural application changes.
• Supports and mentors developers through code reviews, knowledge-sharing, and technical leadership.
• Review code and pull requests to ensure product and design specifications are met

Senior Software 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.
• 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.

Content Marketing Manager

• Create high-quality, original content in various formats, including videos and social media updates.
• Contribute to ESPN's branding and style guide to maximize the impact of the content generated.
• Analyze and solve a range of problems with moderate guidance and direction.
• Ensure meticulous editing, proofreading, and quality control of all content.
• Generate new ideas for building account engagement and growth.
• Follow ESPN Deportes standards of practice including an adherence to news and reporting guidelines.
• Utilize social / video data regularly to inform content decisions.
• Adapt to evolving industry trends and content formats.
• Collaborate with internal teams to deliver innovative and efficient content (video) solutions.

Digital Video Content Associate, Spanish

• Configure and manage CDN configurations in the Disney Distribution Mesh
• Actively manage OpenCache deployments with ISPs globally
• Actively review performance metrics across our caching infrastructure for improvements
• Review capacity and ensure alignment with global distribution strategy
• Oversee Day-to-Day operations of Disney Distribution Mesh
• Participate in tooling development to integrate 3rd party CDNs into unified control plane
• Contact for CDN support – actively managing incidents via communication with CDN support teams
• Identifying areas for caching configuration tuning and adjustment
• Work to solve caching issues in concert with our operations and engineering organizations
• Provide consultation on caching solutions to internal stakeholders
• Provide senior tier-3 on call evaluation, escalation and support

Lead Content Distribution Engineer

Recurring Digital Video Content Associate, Spanish

• Develop and keep relevant a vision for team in a fast-paced, complex and evolving arena.
• Foster a high-performing team of technologists and drive a culture of excellence, innovation, and deep collaboration with the science organization, the AI/ML engineering organization, and all partner teams.
• Own the technology delivery for a portfolio of decision science applications driven by a range of science algorithms.
• Deliver across the entire development lifecycle, from technical design to deployment, for intelligent applications featuring quantitative AI/ML, agentic workflows and conversational AI.
• Provide ambidextrous technology & data oversight.
• Manage a high-performing team in a matrixed environment.
• Lead, mentor, and grow an evolving & blended team of software engineers, data engineers, solution architects and platform specialists.
• Cultivate a unified, agile culture that excels at tackling both complex data challenges and sophisticated application development.
• Oversee the technical, data, and system architectures for analytic platforms and solutions.
• Provide strategic leadership on the long-term technical vision, including data modeling, microservices architecture, API design, and the advanced tooling required to enable intelligent, interactive applications.
• Foster a culture of innovation by leading the adoption of AI tools within the development process (e.g., code assistants, automated testing) to enhance team efficiency, speed of code development, test creation and execution, and improved documentation.
• Develop roadmaps for reusable capabilities, tools, and agents to harmonize with the portfolio milestones & deliverables while simultaneously raising the bar on standard expectations for deployed solutions, including automated metrics and validation, user-algorithm interactions, and standard features for robust, reliable and secure solution design.
• Ensure the reliability, scalability, and security of all production applications.
• Champion the development of standard operating procedures, quality assurance, and automated monitoring to maintain a healthy and sustainable technology portfolio.
• Define success metrics and OKRs, establishing clear baselines and targets, and continuously tracking outcomes to inform prioritization and optimize results.
• Proactively identify and remediate technical debt within the existing products.
• Balance the "velocity of new features" with the "stability of the core," ensuring that our internal SaaS products remain modern, patchable, and secure.
• Collaborate closely with peers across organizations to ensure successful product delivery.
• Partner closely across functional areas to lead directly and via collaboration in a matrixed environment, with emphasis on strong communication, interpersonal collaboration and change management skills.

Director, Decision Science Technology

Designer

• Responsible for partnering with stakeholders across multiple pillars from content, marketing, and ad sales to create impactful and sustainable design solutions
• Leading a team of individual contributors
• Manages the design and production of creative deliverables to meet defined needs
• Responsible for the development and implementation of graphic solutions
• Resolve employee conflicts, conduct quarterly performance reviews, and enforce all departmental SOP’s and company policies

Design Supervisor – Visual Storytelling

Product Designer

• Establish the overall design direction and strategy for enhancing the functionality of user interfaces across the current and future E-commerce product suite.
• Define new ways of working and partner with managers to establish processes in emerging spaces.
• Evaluate team feedback to continuously increase quality and efficiency.
• Proactively track design trends and emerging technologies to inform strategic decision-making and drive portfolio-wide innovation.
• Represent the team cross-functionally with executive leadership across segments, advocating for the team’s identity, visibility, and strategic positioning.
• Ensure the team is seamlessly connected to other business units, keeping communication flowing and collaboration models clear.
• Cultivate strong relationships at all levels to drive strategy and innovation, voicing technical and design recommendations that align with project goals for on-time delivery.
• Bring coaching and mentorship models to the leads and managers on your team, ensuring a consistent and unified approach to professional development across all career levels.
• Support the resolution of complex interpersonal issues and team dynamics, using an elevated vantage point to provide objective perspectives and resolve problems within the team or with direct partners.
• Design and maintain feedback mechanisms to ensure a healthy system of checks and balances in management and power dynamics.
• Oversee team resource strategy and ensure adherence to operating requirements.
• Contribute to forecasting and accrual processes to maintain financial integrity and support broader organizational objectives.
• Establish, nurture, and evolve the team’s values and guiding principles to ensure they remain relevant to changing industry and organizational needs.
• as the primary voice for the team’s values, speaking up when those principles are challenged, violated, or obstructed.

Senior Manager – User Experience Design

Data Analyst

• Diagnose complex trends and develop analytical frameworks to measure drivers of engagement
• Communicate analysis results to a wide array of business stakeholders with varying technical expertise from operational teams to executive audiences, both in oral presentations and via written reports
• Partner closely with business stakeholders (Content Partnerships, Content Programming and Merchandising, Product/Engineering, Business Operations, Marketing, etc.) to understand business problems and determine methodologies to derive actionable insights
• Proactively monitor and stay up-to-date on nuanced data changes, including the introduction of new data that could impact the accuracy and interpretation of streaming analytics reports and dashboards
• Maintain a deep understanding of the underlying data pipelines and transformations to quickly identify, troubleshoot, and communicate any potential data integrity issues or anomalies
• Translate complex business questions into SQL including proper cohorting, calculations, filtering criteria and/or aggregations
• Lead and mentor a high-performing team of analytics professionals, managing day-to-day operations and developing talent.

Software Engineer II – Ad Platform, Salesforce CRM Analytics

Director – Production, Planning

Solutions & Platforms Manager – IA, Project Hire

Director, Decision Science AI/ML Engineering – Ops

Executive Director, Info Security

Senior Product Software Engineer

Senior Software Engineer

Senior Product Software Engineer

Digital Video Content Associate, Spanish

Lead Content Distribution Engineer

Recurring Digital Video Content Associate, Spanish

Director, Decision Science Technology

Design Supervisor – Visual Storytelling

Senior Manager – User Experience Design

Manager, Data Analytics – Engagement