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Gravis Robotics
Gravis Robotics is a high-growth Series A start-up backed by SoftBank, bringing Physical AI to the construction industry, turning heavy construction machines into autonomous robots. Gravis began as an ETH Zurich spin-out, and our unique combination of learning-based automation and augmented remote control lets one operator safely conduct a fleet of earthmoving machines in a gamified environment.
Backed by deep robotics research and now deployed across multiple countries with leading construction and equipment partners, our team is rapidly growing to bring this technology to a trillion-dollar industry.
Gravis builds the RACK, our manufacturer-agnostic hardware and software system that turns excavators and loaders into autonomous machines, alongside Slate, our platform for planning, perception, and machine intelligence.
You will own end-to-end program delivery for one or more key initiatives at Gravis. Technical Program Managers sit at the intersection of strategic, commercial and customer requirements, and engineering execution on squads that draw from our functional teams.
We are looking for candidates with a background in technical program management, product management, or engineering management with solid experience structuring and delivering complex cross-team programs from planning through commercial delivery.
Gravis is an equal opportunity employer. We are committed to building an inclusive and diverse team, and do not discriminate based on race, colour, ancestry, national origin, religion, sex, sexual orientation, age, gender identity, gender expression, disability, veteran status, or other legally protected characteristics.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.
If you would like more information about how your data is processed, please contact us.
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