Senior Product Marketing Engineer
The MathWorks Inc - Natick, Massachusetts, us, 01760![The MathWorks Inc](/api/image?src=https%3A%2F%2Fgeneral-board-default.s3.us-east-2.amazonaws.com%2Fpublic%2Fimages%2Fdesk-360x180.webp&w=640&q=75&f=webp)
Work at The MathWorks Inc
Overview
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Overview
Requires domestic/international travel based on company/client need (approximately 15%).
Responsibilities
Qualifications
Minimum Qualifications:
Education and Experience:
Master's degree in Engineering, Computer Science, or a closely related field (or foreign education equivalent) and two (2) years of experience as a Senior Product Marketing Engineer (or related occupation) developing, prototyping and debugging data and sensor driven applications.
OR
Ph.D. degree in Engineering, Computer Science, or a closely related field (or foreign education equivalent) and no experience.
OR
Bachelor's degree in Engineering, Computer Science, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Senior Product Marketing Engineer (or related occupation) developing, prototyping and debugging data and sensor driven applications.
Special Requirements
:
Demonstrated expertise programming in MATLAB, Python and C; developing IoT (Internet of Things) use cases using sensors with microcontrollers that communicate using I2C, SPI and BLE; and developing and researching proof-of-concepts for IoT and connectivity product features.Demonstrated expertise conducting marketing research and market analysis to inform cross-functional conversations with development, technical support and sales stakeholders for the development of a product roadmap.Demonstrated expertise developing training materials and technical marketing or customer support demonstrations of hardware and software engineering solutions; creating product demonstration materials and product specifications and presenting technical software and hardware demonstrations at conferences, tradeshows and online platforms; and conducting Voice of the Customer/Client sessions globally, mapping troubleshooting workflows, and developing technical references or instructional guides.Demonstrated expertise performing data analytics on software product usage, user activity, and user experience to support new features and functionalities for product enhancement in a SaaS and cloud environment; building models showcasing return on investment (ROI) to perform pre-sales analysis or customer service; and developing market strategies and analyzing feedback to support data-driven decision making.
[Expertise may be gained during Graduate program.]