Senior Digital Content Automation Engineer, WW CSO – 200562948 -Cupertino, California, United States

Apple

Imagine what you could do here. The people here at Apple don’t just create products — they create the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.

Apple’s WW Channel Strategy & Operations (CSO) organization focuses on developing and deploying worldwide sales programs and best practices to deliver an extraordinary customer experience in the channel and drive Apple Channel sales. With deep functional expertise in digital, physical, and people enablement spaces, our WW CSO team closely collaborates with many cross-functional groups at world-wide and regional levels.

We are seeking a highly experienced Digital Content Automation Engineer to join our Worldwide CSO Technology team. In this role, you will drive automation across key digital content processes and serve as a key resource for short-term and long-term deliverables for our content technology roadmap. You will drive step-by-step operational automation enhancements during Apple’s new product introduction (NPI) events and partner cross-functionally to deliver multi-year digital content sourcing, enhancement, and distribution architectures and engineering processes. You will also explore generative AI digital content workflow tools and capabilities to support digital content automation and partner with cross-functional AI/ML engineering teams to implement these capabilities. Through your passion and influence, you will play a critical part in driving our technology vision forward for years to come.

In this role, you will:

– Build, develop, automate, and launch a new digital content regionalization system and a new universal taxonomy tool set connected to other internal systems.
– Work with large, unstructured digital content data sets, channel partner Apple assortment, product taxonomies, videos, images, product descriptions, and more to reduce cross-functional team member manual digital content publishing efforts.
– Build automation scripts to help publishing teams publish more accurate, complete digital content faster during Apple’s NPI events.
– Analyze, propose, build, and scale limited and broader automation scripting tools and capabilities to support Apple publishers.
– Optimize the content distribution workflow and utilize automation scripts, machine learning models etc to enable process improvements.
– Support, track, and ensure implementation and publishing of data/content within time sensitive workflows.
– Manage external vendors, technology budgets, negotiations and QA resources.
– Partner with cross-functional teams such as Marcom, Business Process Re-engineering (BPR), Product Marketing and Engineering on developing new solutions to improve digital content distribution.
– Collaborate with other technical teams on DevOps responsibilities for application deployment, performance, monitoring, reliability, and scalability.

Typically requires a minimum of 12+ years of related experienceDemonstrated ability in back-end programming with Python, JavaScript, and SQLFamiliarity deploying applications and utilities on cloud platforms (e.g., AWS or GCP)Expertise in monitoring tools and CI/CD pipelinesStrong understanding of API’s, HTTP(S), and REST architectureProficiency in driving automation and scalability to processes and tools; Experience building automation tools, utilities, and web applications for data pipelines, cleansing, and transformationExperience managing content meta-data and asset performance across a global digital channelDeep expertise in building digital content automation workflows and connecting product information management systems (PIM), content management systems (CMS), and digital asset management systems (DAM) such as Adobe, Content Stack, and/or StiboBachelor’s degree or equivalent experience in computer science, data science, or digital content management

 

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