Engineering Project Manager (Marcom Interactive), Retail & Marcom Engineering - Jobs - Careers at Apple
- Drive execution: Own project schedules, milestones, and deliverables across concurrent workstreams including AI-powered tools, platform capabilities, and interactive experiences. Track progress, surface gaps early, and help hold teams accountable to commitments.
- Coordinate across teams: Support alignment between engineering, product management, design, QA, data science, and marketing partners. Help run planning sessions, standups, and retrospectives. Keep stakeholders informed on what's being built, timelines, and blockers.
- Support AI and platform initiatives: Assist in planning and execution for AI tool development - from
- proof-of-concept through production rollout. Track dependencies across infrastructure, data, and ML teams.
- Identify and escalate risks: Track dependencies and flag risks proactively. Escalate with clear context and proposed paths forward when issues arise.
- Improve how we work: Identify friction in team processes and suggest targeted improvements. Contribute to repeatable project rituals that increase predictability without adding overhead.
- Communicate status clearly: Maintain project trackers, dashboards, and status updates. Translate
- engineering progress into concise updates for leads and cross-functional stakeholders.
- Build technical context: Develop working familiarity with the Marcom technology stack - CMS platforms, publishing infrastructure, front-end frameworks, and AI/ML tooling - to have informed conversations with engineers and support sound scheduling decisions
- 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
- 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
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Required Skills
Required Languages
🇬🇧 English