Edge AI Product Marketing Manager

Posted about 19 hours agoViewed
Europe (incl. UK)Full-TimeAI, Edge Computing
Company:Axelera AI
Location:Europe (incl. UK)
Languages:English
Seniority level:Senior, 8+ years
Experience:8+ years
Skills:
Artificial IntelligenceMachine LearningProduct ManagementMarket Research
Requirements:
MSc or higher in Engineering (Electrical Engineering, Computer Science, or related field) 8+ years of experience in technical product management, solutions engineering, or product marketing for semiconductor or computing products Deep understanding of AI inference workloads, neural network architectures, and edge computing requirements Ability to engage in in-depth technical discussions with customer architects and engineering teams Proven ability to translate technical capabilities into clear business value propositions Experience in AI markets Experience in verticals such as surveillance, agritech, defense, healthcare, automotive, or retail is a plus Experience building sales enablement materials and delivering technical training Strong competitive analysis and market research skills Track record of supporting complex B2B sales cycles Excellent technical writing and presentation skills Ability to work effectively with Sales, Product Engineering, and Marketing teams Experience managing cross-functional initiatives Comfortable presenting to both C-level executives and highly technical audiences Self-driven, autonomous contributor
Responsibilities:
Develop and maintain technical sales assets Own competitive intelligence and positioning Deliver pre-sales technical product presentations Lead technical proposal development for strategic tenders Conduct product training sessions Build deep expertise in edge AI verticals Drive alignment between product, marketing, and customer-facing teams Capture and prioritize market requirements Feed win/loss analysis and competitive insights into product roadmap Collaborate with Marketing on messaging and content Provide technical input to Marketing Support development of competitive benchmarks
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