Engineering project manager in retail technology

Apple’s IS&T Retail Engineering team builds and operates the technology behind Apple’s global retail experience. We’re looking for a driven Engineering Project Manager with deep experience in fast-paced e-commerce or software development environments and a proven ability to deliver exceptional results. If you’re excited by the challenge of delivering high-quality work at scale, we invite you to explore what’s possible with us.

• deliver complex engineering projects from initiation to completion, on time and within budget.
• You’ll orchestrate collaboration across engineering, business, and partner teams, bringing the technical acumen and communication skills to bridge the gap between technical teams and business stakeholders.
• you’ll lead projects that range from planned platform initiatives to time-sensitive regulatory deliveries, each with its own teams and technical landscape.

• Relevant experience planning, managing, and successfully delivering cross-functional engineering projects across all phases of the project lifecycle.
• Demonstrated experience delivering under tight deadlines with proven ability to take ownership independently and drive to completion with minimal direction.
• Strong understanding of software development lifecycle methodologies, system architecture, and integration patterns.
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Будет плюсом: Hands-on engineering experience or sufficient technical depth to actively shape architectural and technical decisions, including in situations that lack clear definition or immediate scope; Experience in a large-scale enterprise technology environment supporting retail or e-commerce, with working familiarity across e-commerce platforms, payment systems, POS systems, or consumer-facing retail applications; Proven ability to drive delivery and resolve dependencies across globally distributed teams and stakeholders, with a PM certification (e.g., PMP, Agile/Scrum, or hybrid Agile-Waterfall) reflecting flexible methodology, and experience using Generative AI/LLM tools for documentation, reporting, and data synthesis

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