Senior Solutions Engineer at Locusrobotics

Locus Robotics is a global leader in warehouse automation, delivering unmatched flexibility and unlimited throughput, and actionable intelligence to optimize operations. Powered by LocusONE, an AI-driven platform, our advanced autonomous mobile robots seamlessly integrate into existing warehouse environments to enhance efficiency, reduce costs, and scale operations with ease. Trusted by over 150 industry leading retail, healthcare, 3PL, and industrial brands in over 350 sites worldwide, Locus enables warehouse operators to achieve rapid ROI, minimize labor costs, and continuously improve productivity. Our industry-first Robots-as-a-Service (RaaS) model ensures ongoing innovation, scalability, and cost-effectiveness without the burden of significant capital investments. With proven capabilities in diverse workflows—from picking and replenishment to sorting and pack-out—Locus Robotics empowers businesses to meet peak demands and adapt to ever-changing operational needs. Are you an experienced Senior Solutions Engineer looking to play a key role in scaling cutting-edge warehouse automation? In this role, you will partner closely with Sales to drive new business by delivering deep technical expertise across the full sales cycle, from discovery through proposal and demonstration. You will work directly with prospective and existing customers to understand operational requirements, design tailored robotic solutions, and clearly articulate the value of Locus Robotics’ technology through data-driven insights, system concepts, and onsite engagements. This role requires up to 30% travel across the US, Canada, and Mexico. Responsibilities • Develop concept system designs to include robot counts, productivity estimates and description of operations. • Provide technical support and insight on discovery and roadmap calls. • Facilitate system demonstrations and site visits for prospects. • Perform data analysis to assess requirements. • Support the sales team in proposal development to include ROI and savings estimates. • Support implementations with customer’s technical staff. • Provide technical context in competitive comparison calls. • Represent Locus Robotics in onsite customer visits and at trade shows. • Other responsibilities as required. Qualifications • Bachelor’s Degree required (Industrial Engineering, Mechanical Engineering or related degree a plus). • 4+ years of experience in solutions design or industrial engineering, preferably in distribution or logistics operations. • Data analytics experience using tools such as Excel, SQL, Python, and PowerBI. • Prior experience with warehouse automation in solution design or process improvement. • Experience with WMS and related logistics software, including integration with platforms such as Manhattan Associates and Blue Yonder. • Advanced proficiency with Microsoft Suite including Excel, PowerPoint, and Outlook. • Prior experience with AutoCAD for fulfillment centers/warehouses. • Knowledge of simulation applications, such as FlexSim. • Demonstrated ability to work in fast paced environments- multiple projects concurrently and prioritize projects to meet deadlines. • Ability to travel up to 30% across the US, Canada, and Mexico. • Excellent written and verbal English communication skills, with the ability to effectively engage with stakeholders at all levels of the organization. Additional Information Locus Robotics is an Equal Opportunity Employer. The expected base salary range for this role is $110K to $165K annually, based on external market data, plus bonus and equity. Actual offers will depend on factors such as the candidate’s experience, education, training, key or critical skills, geographic location, and current market and business conditions. Application Fraud Detection Notice: To help maintain a fair and secure hiring process, Locus Robotics may use AI-assisted and other automated tools to detect suspected fraud, misrepresentation, or misuse of the application process. Hiring decisions are not made solely by automated means unless otherwise disclosed where required by law.