The Walt Disney Company

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

Full-stack 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 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

Director

• 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.

Manager, Data Analytics – Engagement

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
• Identify and define new personalization opportunities and work with other data teams to improve how we do data collection, experimentation and analysis

Lead Machine Learning Engineer

Financial Planning and Analysis

• Lead a team in developing consolidated financial forecast communications, including Board meeting presentations and financial analysis for senior leadership
• Prepare performance updates for equity owner management teams and key finance stakeholders
• Develop robust, data-driven cash flow and dividend projections for ESPN equity owners
• Assist in driving finance transformation initiatives, including the integration of the ESPN P&L into a new finance system
• Lead and develop a team of professionals, with a focus on career development and a strong, positive team environment

Director, Finance

• Work with a team building high-performance, stable, scalable software
• Participate in the code review process by providing feedback on pull requests
• Participate in the on-call rotation, supporting systems and services during production incidents

• Stay current with advancements in machine learning, GenAI, and cloud-native tooling
• Contribute to technical strategy, patent filings, and the development of reusable frameworks
• Lead design and rapid prototyping of GenAI-enabled solutions
• Evaluate and integrate LLMs and modern GenAI techniques into enterprise use cases
• Lead architecture discussions, conduct model performance evaluations, and implement best practices in MLOps
• Design and build reusable PoCs, pilots, and platform components leveraging modern GenAI/ML frameworks
• Work closely with business groups to understand their business objectives, use cases and challenges
• Embed directly with teams including product managers, researchers, and engineering teams
• Develop and maintain automation and AI platform components
• Mentor junior engineers and foster a culture of experimentation, documentation, and continuous learning

Solutions & Platforms Manager – IA, Project Hire

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

Lead Machine Learning Engineer

Director, Finance

Senior Software Engineer

Staff GenAI/ML Engineer – Emerging Tech, AI Automation