Position: System Technical Product Owner
Company: GlobalLogic
Category: Product Manager
Experience required: 5y
English level: upper

**Our Client **
Our Client is world-leading manufacture of premium quality “smart” beds designed to help answer questions around not being able to sleep at night through innovative technologies and digitilized solutions.

Our client is a fast moving, highly technical team of people with the ambitious goal of bringing people better health and well-being through the best possible sleep experience, aimed to be the leader in sleep. The product combines established expertise in creating comfortable, adjustable beds with the latest in sleep science, cutting-edge sensor technology, and data processing algorithms. 

**Requirements:**
Bachelor’s degree in Engineering, Computer Science, Applied Mathematics, Physics or related technical discipline with 14 year of related technical experience, or 12 years with a master’s degree, or 9 years with a Ph.D.
Demonstrated success in solving complex problems in broad domains of expertise.
Demonstrated proficiency leveraging math and statistical techniques to solve difficult technical problems.
Comfortable with loosely-defined problems, have a demonstrated ability to think clearly and draw upon a variety of sources for ideas and solutions.
Demonstrated technical leadership of programs in a collaborative environment to propose, plan, estimate, organize and integrate Systems Engineering activities across multiple engineering disciplines.
Self-motivated and independently able to develop innovative approaches to diverse technical challenges and see them through to realization.
Ability to effectively motivate people to work as an integrated team across sites, companies and cultures.
Ability to use model-based development (MBD) and Model-Based Systems Engineering (MBSE) tools and concepts to define functions and develop functional and performance requirements.
Experience working in an Agile team environment.
Demonstrated mentorship of others.

**What sets you apart/skills**
Active contributor to the achievement of business objectives.
Creative thinking with the ability to work on 2-3 programs in parallel.
Contributes to the development of innovative principles and ideas.
Effectively leads complex assignments.
Proficient with data analysis in Python, MATLAB or other programming languages required.
Capability to design and execute DOEs to identify significant factors efficiently
Familiarity with requirements management, tradeoff analysis, traceability and verification testing.
Familiarity with signal processing techniques.
Familiarity with control systems concepts and principles.
Ability to work in a fast paced, dynamic environment and quickly adjust to rapidly evolving technology and priorities.
Excellent written and verbal communications skills, capable of clearly explaining technical issues and ideas to peers and management.
Ability to work with cross-functional and interdisciplinary teams.
Be able to influence the organization’s R&D culture.
Be a believer and strong promoter of continuous improvement for the teams.
You’re a technologist who solves problems in creative ways.
You’re organized, disciplined, and can manage multiple projects simultaneously.
You’re skilled at explaining technical nuances to non-technical audiences and influence direction.
You have an eye for detail and participate in deeply technical problem-solving and solutioning.
You’re stimulated by challenges.
You’re passionate about acquiring and disseminating knowledge.
**Preferences:**
C++, Matlab

**Responsibilities:**
Contribute to the strategic R&D roadmap by exploring new design concepts and technologies.
Be willing and able to act as the technical authority for the program.
Apply your research and development skills to build real-world products and capabilities well beyond purely academic or theoretical.
Analyze large quantities of data to uncover, understand and exploit complex phenomenology.
Prototype algorithms in Python, MATLAB, C and/or C++ and test algorithm performance.
Apply ML and AI techniques to improve existing and newly developed algorithms.
Apply model-based design and model-based systems engineering techniques to improve our ability to quickly learn and iterate.