Lenovo
Software Product Manager – Android Tablet OS & AI Ecosystem
Morrisville, North Carolina · Manager · Full-time · Posted Aug 27, 2026
- Experience
- 5+ years in software product management, platform product management, and/or Android OS experience.
- Education
- Bachelor’s degree in Computer Science, Engineering, Business, Human-Computer Interaction, or a related field, or equivalent practical experience.
About the job
Define and deliver Lenovo’s Android tablet software roadmap, integrating Google platform capabilities, AI experiences, and ecosystem partnerships for global products.
What you'll do
- Own Android tablet OS strategy and roadmap, guiding product planning from requirements through launch and post-launch optimization.
- Plan Google platform collaboration and compliance, including Android certification and related requirements.
- Develop Google AI and Lenovo Qira AI experiences and build external software and AI partnerships.
What they ask for
- Bachelor’s degree in Computer Science, Engineering, Business, Human-Computer Interaction, or a related field, or equivalent practical experience.
- 5+ years of software product management, platform product management, and/or Android OS experience.
- Experience delivering consumer software, mobile products, Android products, operating systems, AI products, or connected-device experiences; and working with software engineering teams through the product lifecycle.
- Strong understanding of the Android ecosystem; professional fluency in English and Mandarin Chinese.
Nice to have
- Direct experience with Google Android platform teams or certification/compliance programs; familiarity with MADA, RSA, GMS, CTS/VTS, or Android compatibility requirements.
- Experience developing AI-powered consumer products, establishing technology partnerships, or working in a distributed global organization.
Tools
Android, Google Android, Lenovo Qira AI, MADA, RSA, GMS, CTS/VTS, LLMs
AI focus
Define and deliver consumer AI experiences integrating Google AI and Lenovo Qira AI, including use cases involving generative AI, multimodal interaction, personalization, agentic workflows, contextual intelligence, and AI-powered UI.
Model-written summary · the original posting is authoritative