DeepScale, Inc. is a fast growing start-up in the Advanced Driving space, providing perceptual systems for Advanced Driver Assist Systems and Autonomous Vehicles. DeepScale uses deep learning to build accurate and efficient perception systems that enable automated machines to “see”. Our software takes input from sensors and produces an environmental model of the real world. Our prior work has produced neural nets that maintain state-of-the-art accuracy but are up to 500x smaller than other nets designed for the same task. We have thought leaders and experienced practitioners in computer vision, AI-powered 3D reconstruction, and deploying small neural nets in embedded applications.
We are looking for an experienced Product Manager that is prepared to advance technology in automotive artificial intelligence systems for advanced and autonomous driving. The Product Manager will need to maintain technology and product roadmaps, validate customer and market needs, define product specifications to the engineering team, and coordinate engineering deliverables with customer expectations.
As a team, DeepScale is focused and passionate but with an emphasis on cooperation, not competition. We have a strong belief in the value of work-life balance.
Generate marketing and product requirement documents.
Manage ongoing product developments and customer projects.
Travel (~20%) to work with automotive customers and partners on defining roadmaps, identifying opportunities, and releasing products to production.
Distill customer feedback to fine-tune the productization plan for deploying DeepScale software in vehicles.
Maintain marketing material and actively participate in promoting DeepScale.
Freedom to solve problems your own way.
Easy access to supplies and equipment as needed.
Flexible work hours.
Experience in software product management: defining, releasing, and selling software for a complex value chain.
Experience leading complex software developments.
Self-starter that will drive growth with little guidance.
Bachelor’s degree in Computer Science, Computer Engineering, or a related field
Graduate degree, either MBA or in related technical field
Experience in the automotive market.
Experience with embedded processor suppliers.
Experience as software applications engineer.