Engineering Project Manager (Marcom Interactive), Retail & Marcom Engineering
Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Oct 15, 2026. Apple scores B on the Alion truth index.
Retail and Marcom Engineering, an IS&T team, builds and operates the systems and experiences that connect Apple's products with its customers. The team owns the technology behind both Apple's online and physical stores and drives the interactive marketing experiences and tools that keep creative operations moving. Together, those functions deliver the technology behind every product story Apple tells and every purchase a customer makes.
The Marcom Engineering PMO supports the teams that build and operate Apple's marketing technology platforms - from content management and publishing infrastructure to AI-powered tools and interactive experiences. We work at the intersection of engineering and marketing, delivering the systems behind apple.com and related properties. Our AI initiatives are growing, and this role will be part of how we bring intelligent tooling into our platforms.
Description
We're looking for an Engineering Project Manager to help drive delivery of AI-powered tools and interactive experiences across Apple's marketing platforms. You'll work closely with engineering and product teams, managing the execution of cross-functional projects - tracking progress, removing blockers, and helping ensure on-time, high-quality delivery of platforms and tools that power how Apple communicates with millions of customers.
Minimum Qualifications
3+ years of engineering project management (or equivalent technical project management) experience in a software development environment
Experience managing cross-functional projects involving multiple engineering teams
Bachelors Degree in Computer Science or equivalent experience
Preferred Qualifications
Strong organizational skills - you bring structure to ambiguity and keep work streams moving with minimal direction
Technical curiosity - you're comfortable reading architecture diagrams, following dependency chains, and engaging in technical discussions
Clear, concise written and verbal communication
Exposure to AI/ML tool development lifecycles - experimentation, prototyping, or production deployment
Familiarity with web/interactive, content platforms, or marketing technology
Experience with CMS platforms, publishing pipelines, or front-end delivery systems
Interest in or exposure to data pipelines, model integration, or AI-powered product features
Experience with Agile/Scrum tooling (Jira, Radar, or equivalent)
Comfort working in fast-moving environments where requirements evolve and teams are building net-new capabilities