The Walt Disney Company

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

Full-stack Engineer

• 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

Senior Software Engineer

• 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

Staff GenAI/ML Engineer – Emerging Tech, AI Automation

Data Analyst

• Use internal and external analytics tools, SQL, and to access and analyze data
• Conduct deep dives to diagnose business challenges, drivers of performance, and resulting issues/opportunities to grow Disney’s advertising product lines and business
• Build data visualizations and cross-functional enterprise reports that align to client program objectives and various audiences
• Provide regular support to internal users; act as a company expert for Microstrategy/BI Dashboard usage
• Partner with Ad Product teams to define and automate routine analysis and reporting to track and manage performance
• Document and communicate results of analysis with product team to support future enhancements and initiatives within the Digital BI Program. Collaborates with other product managers to help define requirements for business intelligence products to meet business needs.
• Evaluate business processes, anticipate upcoming priorities, un-cover areas for improvement and help develop/implement solutions.
• Advocates for business needs with product and engineering partners, ensuring products and their features are clearly understood and documented

ServiceNow

• Lead the design, development, and optimization of complex ServiceNow solutions leveraging modern platform capabilities, best practices, and extensibility frameworks
• Act as a technical authority across SAM (HAM/SAM Pro), ITOM (Discovery, Service Mapping, Event Management, Health), SPM, and enterprise analytics and reporting
• Architect and govern CMDB and Asset Management solutions, ensuring data quality, normalization, reconciliation, lifecycle integrity, and operational reliability
• Design scalable CMDB models that support ITOM visibility, asset lifecycles, compliance, reporting, and integration with downstream systems
• Deliver advanced platform solutions using Flow Designer, IntegrationHub, custom APIs, Script Includes, and asynchronous processing
• Build and optimize Platform Analytics, Performance Analytics, and executive-level dashboards, driving data-informed decision-making
• Leverage emerging ServiceNow capabilities such as Service Exchange, Platform Analytics, AI/Automation frameworks, and next-generation reporting tools
• Define technical patterns, guardrails, and reference architectures aligned with platform strategy and long-term sustainment
• Partner with Product Management, Enterprise Architecture, Security, and Operations to translate strategic goals into robust technical solutions
• Mentor engineers and provide architectural guidance through design reviews, code reviews, and technical coaching
• Lead complex troubleshooting efforts, including CMDB health issues, discovery failures, integration bottlenecks, and performance degradation
• Produce high-quality, audit-ready technical documentation, including solution designs, data models, and architectural diagrams

Staff Software Engineer – ServiceNow ITAM

Product Manager

• Drive measurement strategy and analytics instrumentation across ESPN’s portfolio of digital products
• Own instrumentation outcomes across ESPN digital products
• Define what gets measured, why it matters, and how behavioral signals and event schemas serve analytics, reporting, and experimentation needs
• Drive instrumentation from discovery through launch
• Work directly with engineering to ensure instrumentation is implemented correctly
• Configure and operate the analytics platform stack
• Proactively identify instrumentation gaps

Senior Product Manager II – Data Product Management

Technical Program Manager

• Accountable for driving execution and delivery of a set of software development deliverables from start to finish.
• Define, optimize, and manage Agile project management ceremonies and processes for large project teams.
• Leverage experience with Agile and Scrum to lead teams to successful delivery.
• Lead delivery teams through the identification and management of risks and the resolution of issues, and escalating to management as appropriate.
• Facilitate team ceremonies
• Facilitate meetings/workshops with groups of people beyond the immediate delivery team
• Facilitate the team through the resolution of complex issues
• Drive workshop/meeting to conclusion and/or actionable outcome
• Ensure group participation
• Identify scope of inputs and outputs as dependencies for technical teams, resolve gaps and create program milestones that ensure work is sequenced across teams.
• Identify risks; drive resolutions and communicate prioritized mitigation plans to stakeholders.
• Monitor & adjust plans to respond to unplanned changes, ensuring programs are progressing to meet business goals.
• Monitor and report on team metrics around delivery
• Able to quickly solve complex problems in a challenging, dynamic environment with minimal direction.
• Provide frequent and transparent communication to the business and technical senior management, delivery teams and stakeholders regarding initiative health, issues, and risks.
• Demonstrate solid proficiency of technical project/program domain and able to confidently discuss with project team, partner teams, and stakeholders.
• Clearly articulate technical risks without the aid of engineering support
• Analyze and facilitate decisions around technical challenges with some direction.
• Effectively communicates complex and/or difficult information to both technical and non-technical audiences, including Executives.
• Interacts with internal and external peers, initiative stakeholders, and managers to exchange complex information.
• Ability to influence key decision-makers / stakeholders towards new business processes and technical solutions that best serve the Company.

Lead Technical Program Manager

Operations

• Drive the OKR-setting process for AdTech leadership. This includes partnering with team leads to set objectives, using informed analysis to define measurable targets, and managing recurring leadership reviews to assess performance.
• Be the analytical backbone for our key metrics. Understand the data sets, identify trends, surface insights, and work with Product, Engineering, and Data Science to optimize performance.
• Stand up and/or manage leadership review forums including Product Reviews, Weekly Stats, OKR Grading, and more. Proactively identify opportunities to improve velocity and impact through operational rigor.
• Partner with Corporate Communications, Creative Storytelling, and/or Workplace Experience to plan town halls, offsites/summits, and other large scale events where Product and Technology is represented.

Principal, Advertising Platforms Strategy & Operations, Product & Technology

Manager

• 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

• Define and drive end-to-end solution architecture across Live, Linear, and VOD streaming workflows
• Establish architectural patterns that unify media ingest, processing, metadata, ads, distribution, and playback ecosystems
• Lead cross-domain design for integrations with Ad platforms, metadata services, rights systems, and client applications
• Contribute to long-term technical strategy, ensuring scalability, resiliency, and cost efficiency across the media supply chain
• Partner with Engineering, Product, Program Management, and stakeholders teams to deliver cohesive platform solutions
• Influence technical direction across multiple teams and organizations without direct authority
• Lead architecture reviews, drive alignment, and resolve complex cross-system challenges
• Design and document high-scale, distributed systems supporting millions of concurrent streams and global content distribution
• Contribute to implementation where necessary, including prototyping, coding, and validating architectural decisions
• Author clear architectural artifacts including solution designs, system diagrams, and technical proposals
• Champion best practices in observability, reliability, performance optimization, and cost management
• Guide teams in building resilient systems with strong SLAs/SLOs
• Use metrics and data to continuously improve system performance and user experience
• Challenge existing architectures and introduce modern approaches to evolving platform capabilities
• Stay ahead of industry trends in streaming technologies, ad tech, and media workflows
• Drive iterative improvements across systems, workflows, and developer experience

Principal Software Engineer

Data Engineer

• Lead the design, development, deployment, and operational ownership of scalable data pipelines
• Architect and evolve the data platform to support scalability, resiliency, and robust validation frameworks
• Drive engineering excellence by establishing and enforcing best practices
• Design, implement, and manage cloud infrastructure using Infrastructure as Code (IaC)
• Partner cross-functionally with product management and engineering teams to align on priorities