The Walt Disney Company

Analyst

• Collaborate with the manager, senior manager and a variety of external data providers and internal teams, to execute research that directly attributes consumer sentiment or behavior to exposure to ads on Disney properties (including: Hulu, ABC, Freeform, ESPN, Disney Channel, etc.)
• Develop and market case studies, both internally and externally, that demonstrate the power of Disney’s measurement capabilities.
• Build reports for sellers to utilize with clients to help inform deals.
• Educate individual Disney Advertising Sales teams and on full funnel measurement solutions including methodology overview, navigating vendor dashboards and analyzing results

Analyst, Data Outcomes – Attribution

Marketing

• Assist with marketing strategies and go-to-market plan development to deliver our business goals
• Provide support with communication plan development across the team
• Evaluate campaign creatives and track approvals/status updates with agencies
• Apply data to make strategic recommendations and track program/product budgets
• Collaborate with teams to deliver assets, campaign pitch kits, toolkits, and content following brand guidelines and maintaining updates
• Provide generational knowledge into trends and ways of thinking
• Be an active participant and perform overall project management/ad hoc requests from leadership

Consumer Products Marketing Strategy Intern

Frontend Engineer

• Writing and reviewing a lot of code and tests
• Reviewing code and test implementations for best practices and algorithmic complexity
• Available to support engineers on an On-Call shift, when needed
• Reading requirements documentation from Product, providing a perspective on feasibility and translating into implementation tasks, and partnering with teams’ leads through execution as needed
• Exploring, researching, implementing proofs-of-concept, and proposing solutions that will improve Ad Serving systems (reduce cost and overhead, improve maintainability, minimize the time features take to be in production, etc)
• Defining, reviewing, and documenting software and system designs in a high throughput, low latency microservices environment
• Enhancing systems’ observability with proper metrics, monitors, and alerts
• Mentoring and inspiring others in all aspects of professional software development

Principal Front-end Engineer – Front-end, UI, Full Stack

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 ML 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

Senior Data Scientist, Ads Research

Full-stack Engineer

• Lead & Develop High-Performing Teams: Recruit, onboard, mentor, and manage a team of Data Product Engineers, including Lead Engineers
• Strategic Data Product Leadership & Business Alignment: Lead the development and communication of our data product strategy and roadmap, actively collaborating with business leaders and stakeholders across all relevant departments
• Architectural Guidance & Technical Governance: Provide architectural oversight and technical guidance to your team, ensuring data product designs are scalable, resilient, secure, and maintainable
• Drive Operational Excellence: Establish and enforce robust processes for data product lifecycle management, including incident response, performance monitoring, cost optimization, and adherence to data governance policies
• Vendor & Resource Management: Manage budget allocation for your team, evaluate and manage relationships with external vendors and technology partners, ensuring optimal utilization of resources and technologies
• Innovate & Champion AI/ML Data Readiness: Guide the team in designing and building data products that specifically empower our AI/ML efforts

Manager, Data Product Engineering

• Lead the full lifecycle development of data products, including requirements gathering, architectural design, implementation, testing, and deployment
• Ensure data products are discoverable, well-documented, and adhere to strict data quality standards
• Apply a pragmatic combination of Domain-Driven Design (DDD) principles to deeply understand core business contexts and translate them into robust, Kimball-inspired dimensional models that power our data products within Snowflake
• Architect and implement highly efficient, event-driven data pipelines using AWS Kinesis for data ingestion and stream processing, leveraging AWS Lambda for serverless transformations and real-time data delivery
• Develop, optimize, and maintain complex SQL-based data transformations using dbt (Data Build Tool) within our Snowflake data platform, ensuring modularity, testability, and version control for all data models
• Collaborate closely with our AI/ML workbench to design and build data products specifically tailored for machine learning initiatives, including feature engineering, data preparation, and ensuring data readiness for model training and inference
• Establish and enforce best practices for data governance, metadata management, data lineage, and data observability to ensure the reliability and integrity of our data products.

Senior Data Product Engineer

Product Manager

• Define and communicate the strategic roadmap for Commerce & Finance data domains, ensuring alignment with business objectives and scalable value delivery.
• Identify, evaluate, and prioritize capitalizable data products and solutions that drive measurable business impact and can be leveraged across the organization.
• Serve as the subject matter expert for Commerce & Finance data domains, understanding data sources, structures, usage patterns, and their business impact.
• Proactively manage initiatives to ensure outcomes are achievable, realistic, and aligned with organizational priorities and data principles.
• Lead the definition and documentation of detailed data requirements for new and existing data products, collaborating with stakeholders to capture business needs and technical specifications.
• Oversee the end-to-end lifecycle of Commerce & Finance data products, including requirements gathering, data discovery, modeling, and documentation.
• Conduct hands-on technical activities such as data profiling, quality assessments, and the development of data rules (contracts, pseudo code).
• Establish and maintain ongoing data quality measurement processes to proactively identify, monitor, and resolve issues.
• Manage product-related issues, including root cause analysis and resolution, ensuring alignment with data governance and business priorities.
• Create and maintain comprehensive product documentation, including detailed data models and product-specific guidelines.
• Collaborate with business stakeholders in Commerce, Finance, and related domains to understand evolving needs and ensure data products drive measurable value.
• Drive user adoption by tracking engagement metrics, gathering feedback, and iterating on solutions for enhanced satisfaction and business impact.
• Foster trust and alignment with stakeholders, ensuring clear communication around expectations, timelines, and product outcomes.
• Partner with engineering, architecture, and analytics teams to deliver scalable, high-quality data solutions.
• Champion data governance, compliance, and scalability across all Commerce & Finance data solutions.
• Leverage industry best practices and cutting-edge data technologies to ensure robust, reliable, and compliant data products.
• Promote operational excellence and continuous improvement in data usability, performance, and quality.
• Advocate for agile methodologies and iterative delivery practices in data product development.

Senior Product Manager – Data Products

Machine Learning Engineer

• Develop, optimize, and productionize innovative technologies in generative AI (mixed media, video, and agentic LLM applications) as well as in traditional ML modeling applications
• Create, evaluate, improve, optimize technologies
• 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, Ad Platforms

• Define and execute Product & technology strategy for GPC and Publishing aligned with business goals
• Partner with senior executives to prioritize investments and influence decisions using data-driven insights
• Oversee architecture and delivery of platforms for licensee access, digital asset management, product lifecycle, and title lifecycle management
• Drive adoption of modern engineering practices: cloud-native development, CI/CD, automated testing, observability
• Own end-to-end software delivery lifecycle across frontend and backend services
• Champion agile and DevOps practices to accelerate delivery and improve reliability
• Drive AI-powered innovation in product, solution design and development
• Ensure GDPR compliance and Disney security standards; embed privacy-by-design and secure SDLC
• Mentor engineering and product leaders; build talent pipelines and foster an inclusive, creative culture
• Represent Disney Experience Technology as a visible leader and advocate, building strong relationships with internal and external stakeholders

Director, Product Management

AI Engineer

• Define and own AI product strategy and vision, balancing technical feasibility, business value, compliance, and responsible AI principles
• Performs market and industry analysis of trends and conditions for products, platforms, and features
• Translate machine learning, GenAI, and agentic system capabilities into clear product requirements, roadmaps, and MVPs
• Partner deeply with engineering and data science to guide model selection, feature engineering, evaluation criteria, and deployment strategies
• Drive data-informed decision-making using experimentation, model metrics, and customer signals
• Establish and own success metrics for AI products
• Lead iterative experimentation and continuous optimization
• Anticipate and manage AI-specific risks
• Serve as a translator between technical and non-technical stakeholders
• Engage customers and partners to uncover unarticulated needs
• Champion platform thinking across AI services
• Influence organizational best practices for AI product delivery
• Experience operating within multi-cloud AI environments
• Comfort engaging at near-engineering depth

Staff Product Manager, AI Platforms

Product Designer

• Develop wireframes, user flows, prototypes, and high-fidelity mockups for web and mobile platforms
• Design intuitive user journeys and workflows for complex, internal-facing systems
• Partner with developers, product managers, and stakeholders to implement and refine design solutions
• Ensure designs align with established visual standards while maintaining a clean, modern aesthetic
• Conduct user testing and incorporate feedback to iterate and improve designs
• Present design concepts, rationale, and user insights clearly to cross-functional teams
• Stay current on UX/UI trends, tools, and best practices and apply them proactively

Senior UI/UX Designer – AI

• Develop, optimize, and productionize innovative technologies in generative AI as well as in traditional ML modeling applications.
• Create, evaluate, improve, optimize technologies.
• Drive innovation and apply state of the art AI and machine learning across advertising domains.
• 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.

Lead Machine Learning Engineer, Ads Research

• Define product requirements for LLM-powered features, agentic systems, and intelligent automation
• Collaborate with engineering, design, and cross-functional stakeholders to ensure delivery of scalable, resilient services and intuitive user experiences
• Drive product roadmap execution for AI-powered capabilities within the Ads Quote-to-cash workflow
• Translate business needs into clear product requirements across system integrations, APIs, and enterprise workflow dependencies
• Ensure business logic, rules, and exceptions can be modeled flexibly within structure plan and campaign data models
• Collaborate with Sales Ops, Finance, Legal, and Revenue Strategy to ensure solutions are compliant, scalable, and business-aligned
• Track and report on adoption, performance, and outcomes for Planning and Order Management, including new AI-driven features

Senior Product Manager, Ads AI/ML

Designer

• Provide support to project lead/landscape architect for design and implementation aspects of assigned projects
• Support implementation of project goals/objectives through assigned problem-solving and design tasks; ensures alignment to department/divisional Standards of Practice
• Provide design documentation in the form of graphic illustration, imagery boards, color renderings, and research and documentation on assigned project
• Prepare specific deliverables including, but not limited to: base sheets, hardscape, planting designs, visual intrusion studies, material schedules, etc.
• Ensures alignment to department/divisional Standards of Practice
• Develop varied landscape architectural project work at all stages of assigned projects from concept, feasibility or schematic design through the preparation of construction documentation in accordance with established departmental and divisional quality standards
• Ensure that the area development intent is achieved by successfully integrating landscape design with allied teams and components of the area development such as: infrastructure, architecture, grading/drainage, lighting, graphics, structural engineering, irrigation, etc.

Analyst, Data Outcomes – Attribution

Consumer Products Marketing Strategy Intern

Principal Front-end Engineer – Front-end, UI, Full Stack

Senior Data Scientist, Ads Research

Manager, Data Product Engineering

Senior Data Product Engineer

Senior Product Manager – Data Products

Senior Machine Learning Engineer, Ad Platforms

Director, Product Management

Director, Product Management

Staff Product Manager, AI Platforms

Senior UI/UX Designer – AI

Lead Machine Learning Engineer, Ads Research

Senior Product Manager, Ads AI/ML

Landscape Designer – Project Hire