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.

Minimum Qualifications

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

Preferred Qualifications

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