Product Marketing Engineer

Responsibilities

• Develop and execute global marketing strategies for Altera scale programs, representing customers and market needs to engineering teams.
• Conduct competitive analysis, market research, and define positioning with go-to-market plans for scale activities.
• Architect scalable customer training journeys, including hundreds of classes and structured learning plans aligned with marketing campaigns.
• Create technical content for engineers, educators, and decision-makers, ensuring alignment with outbound marketing and product enhancements.
• Design and deliver academic course content, lab exercises, and instructor training for university programs.
• Collaborate with academic institutions to integrate technology into engineering curricula.
• Oversee and design system integration and data migration initiatives, ensuring alignment with business goals and technical needs.
• Serve as the primary contact between business, IT, and system integrators, ensuring data integrity and successful deployment of solutions.
• Develop and integrate state-of-the-art solutions, including ML/AI-enhanced tools, to automate and optimize Partner, university and training programs.
• Lead cross-functional initiatives to streamline design execution, mentor junior engineers, and drive continuous innovation in design automation infrastructure.
• Develop and implement comprehensive internal and external communications strategies, amplifying organizational messages.

• Bachelor’s or Master’s degree in Electrical Engineering or related field.
• 4+ years in product marketing, technical training, curriculum development, or communications (6+ years preferred for communications roles).
• Strong background in FPGA technology, digital design, PLM, and EDA tools.
• Proven ability to create technical content, deliver training programs, and design projects.
• Excellent communication, presentation, and project management skills.
• Technical training, customer training or technical communication with customers.
• Familiarity with AI/ML applications.
• Leadership in cross-functional teams and vendor management.
• Analytical problem-solving, and innovation-driven mindset.