at Apple
Location
San Diego, United States of America
Compensation
$142k–$263k USD
Type
full time
Posted
3 weeks ago
Market range · company + function + seniority
p25 · target · p75 · n=800
Posted $263k · in the market band
Posting health
Aging · 70Tailor your résumé to this role in 30 seconds.
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We are looking for someone to drive AI-enhanced stability analysis and lead cross-functional resolution efforts for critical software stability issues. Partner with Engineering, QA, Product, and Release Management teams throughout the stability lifecycle from detection through resolution. Oversee AI systems for intelligent monitoring, predictive regression detection, and automated pattern recognition while providing strategic human insight. Present stability trends, risks, and recommendations to executive leadership. Own end-to-end accountability for critical stability investigations involving multiple teams. Design and optimize human-AI collaboration workflows to identify complex patterns in stability data and improve operating system stability.
Lead AI-augmented stability monitoring and predictive analysis across operating systems
Drive cross-functional investigations and coordinate resolution of complex stability issues
Create executive presentations and stakeholder communications using AI-generated insights
Manage multi-team dependencies and timelines for critical stability improvements
Prompt engineer ML systems for anomaly detection and regression identification
Facilitate alignment and decision-making across Engineering, Product, and Operations teams
BS in Computer Science, Engineering, or related technical field
At least 3-5 years of experience in data analysis, stability engineering, or technical program management
Experience driving cross-functional initiatives across engineering and product teams
Strong analytical skills with ability to work with large datasets and identify patterns
Excellent communication and presentation skills for technical and executive audiences
Experience with data analysis tools and basic ML/AI prompt engineering
Proficiency in Python, SQL and data visualization tools such as Tableau for advanced analytics and compelling data presentation
Experience with stability analysis, crash investigation, or quality engineering
Knowledge of machine learning, predictive analytics, or automation tools
Experience with MCP Servers, AI Agents, advanced Prompt Engineering, and using AI for complex automated data analysis
Program management experience with multi-team coordination and dependency management
Strong leadership skills with ability to influence without direct authority
Experience presenting to executive leadership and managing stakeholder relationships
The Field Engagement and Analytics organization is seeking an experienced Data Stability Analyst to drive product stability through AI-augmented analysis and cross-functional collaboration. This role combines advanced data analysis with predictive insights and intelligent automation while maintaining critical human oversight for strategic decision-making.
You'll lead stability initiatives across all operating systems, working with AI systems to proactively identify issues before they impact users and coordinating resolution efforts across multiple engineering teams
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants
Apple accepts applications to this posting on an ongoing basis.
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