RBR50 company Rethink Robotics has tapped two software industry veterans to spearhead market innovation and product engineering, naming Jim Lawton chief marketing officer (CMO) and Milan Shah as its first vice president of software engineering.
?Our customers are ready for the next wave of automation, where robots are part of the team, adding flexibility and intelligence,? says Scott Eckert, Rethink Robotics? CEO. ?We?ve known since day one that in order to meet their needs, we need software that makes the innovation accessible and the robots more intelligent ? Jim and Milan bring the know-how to help us make that vision a reality.?
Lawton
As CMO, Lawton will lead Rethink?s marketing and product management teams. His charter includes cultivating a team that can identify, develop and deliver breakthrough innovation, and build awareness and adoption among the company?s target markets.
Lawton, an inaugural fellow of MIT?s Leaders for Manufacturing Program, brings a proven track record in bringing visionary and effective software solutions to market, with an emphasis on solving challenges in manufacturing. He joins Rethink from Dun & Bradstreet, where he led the business insight giant?s strategic move to integrate D&B?s data and analytics with solutions from companies like Microsoft, SAP, Oracle and SalesForce.
Shah
Shah brings more than 20 years of experience in building successful businesses around the development and delivery of enterprise-class solutions. With a career in both entrepreneurial and established business, from IMLogic, ultimately acquired by Symantec, to Microsoft and Computer Associates, Shah understands what it takes to deliver a steady state of continuous innovation. He joins Rethink from Core Security Technologies, where he revitalized a product family, and nearly doubled the company?s revenue in less than five years.
Rethink’s Baxter robot acts as a workforce multiplier for world-class manufacturers and distributors in automotive, plastics, consumer goods, pharmaceuticals and more, freeing human labor from repetitive and physically stressful tasks. Driven by a highly intuitive interface, the robot can be trained easily, significantly adding to the flexibility now seek when deploying automation.
