AI-Enhanced Stability Analyst - Cross-Functional Leader

Apple Inc.; San Diego (CA); On-site; USD 142,000 - 263,000; Full time

Benefits offered by this job

Relocation

Employee stock programs

Tuition reimbursement

Medical and dental coverage

Job summary

Apple Inc. in San Diego, CA, is seeking a Data Stability Analyst to drive AI-augmented stability analytics and lead cross-functional resolution efforts for critical software stability issues.

You will partner with Engineering, QA, Product and Release Management to detect, predict, and mitigate stability risks across operating systems, presenting insights to executives and guiding strategic decisions with human oversight.

Qualifications

• BS in CS, Engineering, or related field.
• 3-5+ years in data analysis, stability engineering or technical PM.
• Experience leading cross-functional initiatives across engineering and product.
• Strong analytical skills with large datasets and pattern recognition.
• Excellent communication and presentation for technical and exec audiences.
• Experience with data analysis tools and basic ML/AI prompt engineering.
• Proficiency in Python, SQL and Tableau for advanced analytics.

Responsibilities

• Lead AI-augmented stability monitoring and predictive analysis.
• Drive cross-functional investigations and resolve complex stability issues.
• Create executive presentations and stakeholder communications using AI insights.
• Manage multi-team dependencies and timelines for stability improvements.
• Prompt engineer ML systems for anomaly detection and regression identification.
• Coordinate alignment across Engineering, Product, and Operations teams.

Skills

Data analysis

Cross-functional collaboration

Prompt engineering

Python

SQL

Tableau

Communication

Education

BS in Computer Science, Engineering, or related technical field

Tools

Tableau

Python

SQL

Job description

Apple Inc. in San Diego, CA, is seeking a Data Stability Analyst to drive AI-augmented stability analytics and lead cross-functional resolution efforts for critical software stability issues.

You will partner with Engineering, QA, Product and Release Management to detect, predict, and mitigate stability risks across operating systems, presenting insights to executives and guiding strategic decisions with human oversight.