Top Tech Jobs & Startup Jobs

Creates and delivers graphic and motion design across ESPN platforms, including television graphics, key art, animation packages, social templates, marketing materials, and DTC initiatives. Collaborates with creative, editorial, product, marketing, and broadcast partners; translates creative direction into graphical and animated solutions; manages multiple deadlines; contributes ideas; troubleshoots software and equipment issues; and supports efficient, consistent design workflows.

Leads a player-coach squad of 2–4 AI builders delivering multiple end-to-end AI engagements. Responsibilities include identifying underlying business problems, rapidly validating feasibility, shipping AI-powered products, reviewing code, pairing on technical challenges, translating business outcomes into technical decisions, managing stakeholders, and creating reusable components and playbooks.

As a Software Engineer, you'll design and implement scalable web applications using Salesforce CRM Analytics, delivering projects with high quality while collaborating with teams on architecture and innovative solutions.

Lead lifecycle support and reliability for global network infrastructure, manage asset/license inventory and renewals, drive vendor management, reduce technical debt through standardization and upgrades, support security/compliance and change management, deliver observability/data insights and dashboards, and coordinate cross-functional stakeholders to ensure operational readiness and SLA-driven ticket resolution.

Lead strategy and execution for experimentation to improve registration and login success across Disney's global products. Define vision and priorities, partner with engineering, design, data science and regional stakeholders, run and scale experiments, analyze login/registration KPIs, ensure data quality, and influence product roadmap to drive customer access and acquisition.

Lead AI and automation strategy and delivery across Disney Experiences Technology: prioritize use cases, design reusable AI/automation accelerators, ensure engineering and governance standards, integrate solutions into enterprise data platforms and workflows, and manage a high-performing team while influencing senior stakeholders and communicating outcomes to executives.

The Manager of Machine Learning Engineering will lead a team to develop and deploy scalable ML solutions, oversee project direction, and ensure responsible AI practices while fostering cross-functional collaboration at Disney.

Lead enterprise architecture across Commerce, Ticketing, and Guest Experience: advise executives, maintain architecture repository, mentor solution architects, drive modernization and platform thinking, align architecture with business strategy, and guide cross-domain technical decisions.

Design, build, and operate scalable, fault-tolerant backend services using Functional Scala and other backend languages. Deploy and manage cloud-native systems on AWS with containerization (Docker, Kubernetes), observability (Datadog), and CI/CD (Spinnaker/Istio/Terraform). Collaborate with cross-functional teams, perform code reviews, mentor junior engineers, and follow best practices for reliability, security, and lifecycle maintenance.

Build and operate large-scale batch and streaming data pipelines and real-time feature infrastructure to support production ML. Develop ML-adjacent services, ensure reliability/observability, participate in on-call and incident response, and collaborate with ML, data, and platform teams to meet latency, availability, and data quality requirements.