Apple

Engineering Project Manager - Software Beta Program

Apple San Diego, California, United States

Computers and Electronics Manufacturing · 10,001+ employees

6 h ago
Mid (2-5 yrs) Full-time United States
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About the role

The role involves monitoring pre and post-release customer feedback to identify trends and drive high-impact engineering responses. You will also develop automation tools and collaborate with cross-functional teams to investigate and triage software issues.

What they look for

Software Engineering Project Management Data Science Statistics Applied Math Debugging Root Cause Analysis Generative AI Large Language Models Prompt Engineering Automation Workflows Data Visualization Tableau Communication Skills Critical Thinking User-focused Design

Requirements

Candidates must have a Bachelor's degree in a technical field and at least 4 years of experience in software engineering or project management. Proficiency in debugging, scripting, and working with generative AI models is required.

Full description

Do you love solving challenging problems in a fast-paced, dynamic environment where you'll work with many different teams across Apple? Work as part of the Beta Program team for our software releases! The Software Beta Program allows customers to provide feedback to Apple on software projects before and after they are released. We are the first responders for outside issues during the development and launch cycle of Apple's software products. Our engineers use customer feedback to advise and craft engineering response throughout the development cycle. On this team, you will interact with external customers, engineering teams, project management staff, and other quality organizations to collect and process customer feedback, identify key trends, and champion high-impact issues to drive the best possible releases.

Description

Interacting with external customers, and collaborating with program management and engineering teams Monitoring pre and post-release public feedback to identify and call out new issues in the field Reporting on progress of seeding programs, assessment of incoming feedback, and other project status Develop and improve tools to automate, scale, and optimize workflows Investigating issues reported by our outside users through test reproduction, debugging, and diagnostics analysis Reviewing bugs and working with engineering teams to triage and appropriately prioritize response for top customer related issues Identifying trends and insights from large and complex data sets

Minimum Qualifications

BS, preferably Computer Science, Computer Engineering, Data Science, Statistics, Applied Math or related experience 4+ years of software engineering, project management, or related experience Ability to debug hard problems and investigate root cause analysis Comfortable and adaptable in a dynamic and informal environment, and able to respond to changing priorities quickly and expertly Excellent interpersonal, verbal and written communication skills Programming and scripting skills Hands-on experience with generative AI and large language models, including prompt engineering and building AI-powered automation workflows

Preferred Qualifications

Previous experience as a software or QA Engineer Real passion for user-focused design & high quality technology Self-motivated and dedicated with proven creative and critical thinking capabilities Customer focused, detail-oriented, and strong analytical skills Technical proficiency in data visualization (e.g., Tableau) a plus