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Medium—metro location and recognizable employer, but niche AI+Android TPM reduces candidate pool.
High—requires Android, mobile testing, AI agent expertise and TPM experience, limiting cross-industry transfer.
High—explicit 10+ years, 5+ years TPM requirement, and many mandatory technical and AI skills.
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Lead end-to-end delivery and execution of an AI-powered Android test automation platform leveraging AI agents, LLMs, computer vision, and autonomous testing.
Own program roadmap, milestone management, risk assessment, and coordination across distributed engineering, AI/ML, product, QA, and customer teams.
Drive technical decision-making around Android app architecture, AI integrations, cloud device testing, and automation frameworks while managing Agile delivery governance and customer engagement.
10+ years in software engineering, QA automation, program management, or related fields with 5+ years in TPM or similar technical leadership roles.
Strong technical expertise in Android platform, mobile application lifecycle, test automation frameworks (e.g., Appium, Espresso, UIAutomator), and CI/CD pipelines.
Practical exposure to AI/GenAI concepts including LLM workflows, AI Agent architectures, prompt engineering, RAG, and agent orchestration frameworks.
Experience delivering large-scale software products and managing cross-functional engineering programs.
Technical TPM comfortable leading architecture discussions involving AI agents, LLMs, autonomous systems, and mobile automation platforms.
Experienced in stakeholder management and governance for complex program delivery with measurable outcomes in automation coverage and defect leakage reduction.
Able to translate advanced AI capabilities into practical engineering and testing improvements within Android and cloud-native environments.