At Pickle Robot, we're on a mission to automate global supply chains with Physical AI. Our robots work alongside warehouse teams to unload trucks and containers — one of the toughest, most understaffed jobs in logistics — making the work safer, faster, and more efficient for the people doing it. Loading trucks comes next, followed by the Dill Autonomy Engine: generalized autonomy that will eventually orchestrate robots across entire logistics processes.
We're looking for a hands-on Manufacturing Operations Manager to run production of our robotic systems and own our MES (Manufacturing Execution System) implementation — ideally with Tulip. You'll be on the floor daily, understand the build process for complex robotic hardware, and directly configure and deploy digital workflows that replace paper-based processes, giving the business real-time production visibility.
At Pickle Robot Company, we believe transparency builds trust. The salary range listed here is provided in accordance with Massachusetts law and reflects what we reasonably and in good faith expect to offer for this role. We often consider candidates at different levels of seniority, and final compensation will reflect the level at which a candidate is hired, along with factors like experience and location.
Pickle provides best-in-class benefits, including health, dental, and vision insurance; unlimited vacation; paid federal and state holidays; 401(k) contributions of 5% of your salary; company-covered travel expenses; and other perks to make your working life more fun, comfortable, and productive.
We believe the best working experience is one where machines do the heavy lifting and people do the problem solving.
Founded by an exceptional cast of robotics and machine learning experts, Pickle Robot is a pioneer in Physical AI for supply chain applications. Today our robots autonomously unload trucks, trailers, and import containers at human-scale or better performance. We are laser focused on automating truck unloading using generative AI, machine learning, computer vision, advanced sensors, and industrial robotics to deliver engineered products customers rely on.
