Senior Product Manager, Enterprise Mobility AI/ML
Samsung Electronics GmbH, Mountain View, California, us, 94039
Senior Product Manager, Enterprise Mobility AI/ML
Read on to find out what you will need to succeed in this position, including skills, qualifications, and experience. Senior Product Manager, Enterprise Mobility AI/ML
Job Location Mountain View, CA
Job Category Mobile Platform and Solutions
Job Type Full-Time
Job # 402688
Job Department Enterprise and Security Innovation Lab
Are you passionate about transforming cutting-edge technologies into services that impact millions in our daily lives? At the Mobile Platform Solutions (MPS) Enterprise Security & Innovation Lab (ESIL), we are looking for passionate product managers to share their creative vision and build innovative AI/ML offerings for Samsung's portfolio of mobile devices and solutions. This role is ideal for a product leader with a passion for creating intelligent and secure mobile experiences, particularly within the Android ecosystem, who brings deep expertise in AI/ML frameworks and applications and enterprise mobility and security. In this position, you will join a collaborative team of world-class designers, researchers, and engineers specializing in AI/ML, computer vision, AR/VR/XR, security, privacy, and mobile B2B services.
Come join the Samsung MPS ESIL team and be a leader in bringing futuristic services to life!
Position Summary:
The Senior Product Manager will work closely with internal teams, including business development, engineering, and design, to define requirements and roadmaps. This is a unique opportunity to lead one or more of our advanced Knox enterprise mobility offerings focused on AI/ML, productivity, and security. The ideal candidate will own and drive product roadmaps, strategy, and execution of intelligent mobile solutions for large enterprises.
Position Responsibilities:
Drive and execute the product vision, strategy, and roadmap for advancing Samsung Knox Enterprise solutions that leverage AI/ML to enhance productivity, security, and user experience
Drive cross-functional collaboration with engineering, UX, data science, security, marketing, and sales teams to ensure timely and high-quality product delivery
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
Collaborate with industry-leading ecosystem partners, including mobile OS platforms, UEM platforms, security solutions platforms, ISVs, system integrators, and managed service providers, to identify and validate opportunities for Samsung to innovate and increase device market share. xsgimln
Understand the Android ecosystem, including device management frameworks (e.g., Android Enterprise) and OS-level capabilities
Analyze market trends, customer needs, and the competitive landscape to identify opportunities
Engage with key enterprise customers and partners to gather feedback and validate product direction
Collaborate with engineering, sales, and marketing teams to ensure robust GTM plans and successful product launches
Serve as a Subject Matter Expert for both internal and external stakeholders
Demonstrate customer obsession by championing user experience with deep customer empathy.
Required Skills:
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
Proven track record of delivering AI/ML-enabled features in mobile apps or devices, ideally within enterprise environments
Experience collaborating with AI/ML engineering teams and understanding model lifecycle management (training, deployment, performance monitoring)
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
Working knowledge of IT Admin needs for enterprise device deployment & management is desired
Working knowledge of SecOps needs for endpoint security management is desired
Experience working with cross-functional teams in a fast-paced environment
Excellent communication, presentation, and stakeholder management skills
Ability to build excellent user experience and lead/present small group or executive-level discussions
Able to travel internationally (
Read on to find out what you will need to succeed in this position, including skills, qualifications, and experience. Senior Product Manager, Enterprise Mobility AI/ML
Job Location Mountain View, CA
Job Category Mobile Platform and Solutions
Job Type Full-Time
Job # 402688
Job Department Enterprise and Security Innovation Lab
Are you passionate about transforming cutting-edge technologies into services that impact millions in our daily lives? At the Mobile Platform Solutions (MPS) Enterprise Security & Innovation Lab (ESIL), we are looking for passionate product managers to share their creative vision and build innovative AI/ML offerings for Samsung's portfolio of mobile devices and solutions. This role is ideal for a product leader with a passion for creating intelligent and secure mobile experiences, particularly within the Android ecosystem, who brings deep expertise in AI/ML frameworks and applications and enterprise mobility and security. In this position, you will join a collaborative team of world-class designers, researchers, and engineers specializing in AI/ML, computer vision, AR/VR/XR, security, privacy, and mobile B2B services.
Come join the Samsung MPS ESIL team and be a leader in bringing futuristic services to life!
Position Summary:
The Senior Product Manager will work closely with internal teams, including business development, engineering, and design, to define requirements and roadmaps. This is a unique opportunity to lead one or more of our advanced Knox enterprise mobility offerings focused on AI/ML, productivity, and security. The ideal candidate will own and drive product roadmaps, strategy, and execution of intelligent mobile solutions for large enterprises.
Position Responsibilities:
Drive and execute the product vision, strategy, and roadmap for advancing Samsung Knox Enterprise solutions that leverage AI/ML to enhance productivity, security, and user experience
Drive cross-functional collaboration with engineering, UX, data science, security, marketing, and sales teams to ensure timely and high-quality product delivery
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
Collaborate with industry-leading ecosystem partners, including mobile OS platforms, UEM platforms, security solutions platforms, ISVs, system integrators, and managed service providers, to identify and validate opportunities for Samsung to innovate and increase device market share. xsgimln
Understand the Android ecosystem, including device management frameworks (e.g., Android Enterprise) and OS-level capabilities
Analyze market trends, customer needs, and the competitive landscape to identify opportunities
Engage with key enterprise customers and partners to gather feedback and validate product direction
Collaborate with engineering, sales, and marketing teams to ensure robust GTM plans and successful product launches
Serve as a Subject Matter Expert for both internal and external stakeholders
Demonstrate customer obsession by championing user experience with deep customer empathy.
Required Skills:
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
Proven track record of delivering AI/ML-enabled features in mobile apps or devices, ideally within enterprise environments
Experience collaborating with AI/ML engineering teams and understanding model lifecycle management (training, deployment, performance monitoring)
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
Working knowledge of IT Admin needs for enterprise device deployment & management is desired
Working knowledge of SecOps needs for endpoint security management is desired
Experience working with cross-functional teams in a fast-paced environment
Excellent communication, presentation, and stakeholder management skills
Ability to build excellent user experience and lead/present small group or executive-level discussions
Able to travel internationally (