Manager supporting edge AI adoption while bridging Product Management and Sales teams for a deep-tech startup. Fostering market insights and driving technical expertise for effective product strategy.
Responsibilities
Provide technical expertise and enable the adoption of our edge AI accelerator portfolio
Translate complex AI and edge computing technologies into clear, customer-facing value, supporting pre-sales efforts, competitive positioning, and market insights
Develop and maintain technical sales assets, including reference architectures, battle cards, TCO models, comparison matrices, and use-case documentation
Own competitive intelligence and positioning, ensuring clear differentiation across all outbound content
Deliver pre-sales technical product presentations for strategic accounts and complex opportunities
Lead, with support from Product Management, technical proposal development for strategic tenders, coordinating cross-functional contributors
Conduct product training sessions for Sales, Customer Success (CST), and Marketing on product capabilities, competitive landscape, and market dynamics
Build deep expertise in high-impact edge AI verticals and share insights to strengthen sales execution
Drive alignment between product, marketing, and customer-facing teams to ensure market insights inform product strategy and positioning
Capture and prioritize market requirements (MRDs) with Product Managers through customer engagement, sales input, and competitive analysis
Feed win/loss analysis and competitive insights from Customer Success into product roadmap decisions
Collaborate with Marketing to maintain accurate, differentiated messaging across campaigns, product launches, and thought leadership
Provide technical input and brief Marketing on customer pain points, competitive landscape, and positioning
Support development of competitive benchmarks with CST to inform both product and marketing strategy
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 to internal and external stakeholders
Strong competitive analysis and market research skills
Track record of supporting complex B2B sales cycles (6–18 months)
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