Backed by Amadeus Capital Partners.
About the role
We are looking for a Technical Marketing & MRD Specialist on Smart Sensors & Edge AI to investigate, structure and document the market requirements for next-generation smart sensor applications powered by our Analog Edge AI low-power ASIC. You bring a solid engineering background that enables you to understand our technology at a deep technical level and translate what you learn into precise, measurable requirements. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Which smart sensor markets have the strongest need for local or edge AI, meaning on-device learning, inference, event or anomaly detection, or data compression?
- What problems are customers currently unable to solve efficiently?
- What sensor capabilities, AI functions and performance levels are required?
- Which applications benefit most from on-device learning and inference?
- What are the requirements around power consumption, latency and bandwidth?
- Which technical requirements are driven by customers, and which by competitors or industry standards?
More about this role
We are looking for a Technical Marketing & MRD Specialist on Smart Sensors & Edge AI to investigate, structure and document the market requirements for next-generation smart sensor applications powered by our Analog Edge AI low-power ASIC. You bring a solid engineering background that enables you to understand our technology at a deep technical level and translate what you learn into precise, measurable requirements. You combine strong analytical and writing skills with a genuine understanding of technology markets.
In this role, you translate market needs, customer problems and application requirements into a structured MRD that guides GEMESYS’s strategy, product, technology and business development activities. You work closely with our management, engineers and business developers to answer critical questions such as:
- Which smart sensor markets have the strongest need for local or edge AI, meaning on-device learning, inference, event or anomaly detection, or data compression?
- What problems are customers currently unable to solve efficiently?
- What sensor capabilities, AI functions and performance levels are required?
- Which applications benefit most from on-device learning...
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