Engineering PM Intern: Ship Features & AI Workflows

Apple, Inc.; Greater London; On-site; GBP 24,000 - 32,000; Part time

Job summary

Apple, Inc. in London seeks an Engineering Program Manager Intern to help ship customer-focused features within Apple Services Engineering.

You will collaborate with engineering, design, QA, legal and finance teams to deliver outcomes on tight timelines and coordinate cross-functional work. The role emphasizes hands-on ownership, requirements analysis, design discussions, testing and proof-of-concept activities, with an eye toward improving processes and adopting AI-assisted workflows for

Qualifications

• Final year of Bachelor’s programme in engineering/ information systems / business
• Pursuing Master’s in engineering/ information systems / business

Responsibilities

• Partner with engineering teams to deliver the technology powering Apple feature development and contribute to a positive work culture
• Lead all aspects of multiple concurrent features, including scope, requirements, timelines, and resource allocation
• Help manage multi-functional schedules and collaborate with partners across Apple Services Engineering, Design, QA, Legal, Finance, Privacy Business Operations, and client and device teams
• Explore and apply AI assisted workflows to optimise Program processes and cross-functional collaboration
• Take a role in improving how features are built and executed in the Apple Services Engineering organization

Skills

Accountable

Facilitation

Communication

Prioritization

Adaptability

Leadership

AI curiosity

Education

Bachelor's degree in engineering / information systems / business

Master's in engineering / information systems / business

Job description

Apple, Inc. in London seeks an Engineering Program Manager Intern to help ship customer-focused features within Apple Services Engineering.

You will collaborate with engineering, design, QA, legal and finance teams to deliver outcomes on tight timelines and coordinate cross-functional work. The role emphasizes hands-on ownership, requirements analysis, design discussions, testing and proof-of-concept activities, with an eye toward improving processes and adopting AI-assisted workflows for