Samsung is looking to develop and enhance its Mobile Platform Solutions (MPS) by creating intelligent and secure mobile experiences, particularly within the Android ecosystem, with a focus on enterprise mobility, AI/ML, and mobile security.
Requirements
- Proven track record of delivering AI/ML-enabled features in mobile apps or devices, ideally within enterprise environments
- Deep understanding of enterprise mobility ecosystems, including MDM/UEM solutions, EMM policies, and corporate device deployment strategies
- Familiarity with Android platform and tools, including AOSP, Android Enterprise APIs, security features, and device provisioning is desired
- Familiarity with cloud platforms (e.g., GCP, AWS, Azure) and on-device AI technologies (e.g., TensorFlow Lite, Core ML, Android ML Kit) is desired
- Solid grasp of mobile security concepts, such as encryption, authentication, secure containers, zero-trust architectures, and endpoint threat detection
- Experience collaborating with AI/ML engineering teams and understanding model lifecycle management (training, deployment, performance monitoring)
- Experience working with cross-functional teams in a fast-paced environment
Responsibilities
- Lead product strategy and roadmap for Samsung Knox Enterprise mobile solutions that leverage AI/ML to enhance productivity, automation, and user experience
- Define clear requirements and user stories with a strong focus on enterprise user personas, security, performance, and compliance
- Partner closely with data scientists and AI/ML teams to define and implement intelligent features such as context-aware automation, predictive analytics, anomaly detection, and on-device machine learning models
- Deeply understand the Android ecosystem, including device management frameworks (e.g., Android Enterprise), security APIs, OS-level capabilities, and OEM integrations
- Analyze market trends, customer needs, and competitive landscape to identify opportunities
- Collaborate with engineering, sales, and marketing teams to ensure robust GTM plans and successful product launches
- Engage with key enterprise customers to gather feedback and validate product direction
Other
- Engineering degree in EE, CS, or similar (Masters or MBA preferred) or equivalent combination of education, training, and experience
- 7+ years of product management experience in enterprise mobility or related fields
- Excellent communication, presentation, and stakeholder management skills
- Ability to build an excellent user experience and lead/present small group and/or executive level discussions
- Able to travel internationally (<25%)
