Locus Robotics

Backend Engineer

• Define and drive the company-wide AI roadmap, including prioritization frameworks, sequencing of initiatives, and executive alignment.
• Partner with leaders across Sales, Customer Success, Finance, Operations, and Marketing to identify high-leverage opportunities.
• Redesign processes from the ground up into AI-native, automated workflows.
• Design, build, and deploy production-grade AI systems, including agentic workflows that automate end-to-end processes.
• Own the full lifecycle—from scoping through deployment, monitoring, and iteration.
• Architect scalable LLM-powered systems, including retrieval-augmented generation (RAG), unified context layers, and integration frameworks that connect enterprise data sources.
• Design and implement robust data pipelines, integration layers, and shared infrastructure that enable reusable, enterprise-wide AI capabilities.
• Establish frameworks for model governance, risk management, data access, and security.
• Define standards for tools, evaluation, and responsible AI usage.
• Drive AI adoption across the organization by mentoring leaders, establishing best practices, and fostering AI-native ways of working.

Technical Director – AI Enterprise Architect

Sales

• Responsible for driving sales performance and revenue growth by implementing strategic plans and maximizing market opportunities.
• Own and execute the territory strategy by defining the ideal customer profile (ICP), mapping key accounts, analyzing whitespace opportunities, and driving quarterly go-to-market plans.
• Build and advance a high-quality pipeline by actively prospecting through outbound outreach, social engagement, and events; lead discovery conversations, develop compelling business cases with ROI, and drive opportunities through to close.
• Lead complex enterprise sales cycles by orchestrating cross-functional engagement with operations, IT, finance, procurement, and legal; oversee Proof of Concepts and pilots; and negotiate RaaS terms, conditions, and multi-year agreements to close strategic deals.
• Drive partner ecosystem growth by collaborating and co-selling with system integrators, 3PLs, and channel partners; develop joint account plans and generate sourced pipeline to accelerate revenue.
• Deliver accurate forecasts by applying structured methodologies such as MEDDICC or BANT, providing weekly updates and commit calls with clear next steps to ensure pipeline visibility and accountability.
• Drive executive engagement by coordinating site visits, reference calls, and value reviews with senior stakeholders, while building champions across multiple organizational levels.
• Drive cross-functional collaboration by partnering closely with Solutions Engineering on scope, design, and pricing; align with Customer Success on land-and-expand strategies; and work with Marketing on ABM campaigns, events, and localized content to achieve plan.
• Provide actionable market intelligence by sharing competitive insights, pricing trends, and customer feedback with product teams and leadership to inform strategy and innovation.

Sales Manager

DevOps Engineer

• Implement and deploy complex robotic order fulfillment solutions at customer sites.
• Create and configure SLAM-based maps of warehouse fulfillment centers.
• Manage onsite customer relationships, coordinating effectively with internal teams and external stakeholders.
• Provide on-site customer support following system installation.

Deployment Engineer

IT Support

• Define and drive the company-wide AI roadmap, including prioritization frameworks, sequencing of initiatives, and executive alignment.
• Partner with leaders across Sales, Customer Success, Finance, Operations, and Marketing to identify high-leverage opportunities.
• Design, build, and deploy production-grade AI systems, including agentic workflows that automate end-to-end processes.
• Architect scalable LLM-powered systems, including retrieval-augmented generation (RAG), unified context layers, and integration frameworks.
• Design and implement robust data pipelines, integration layers, and shared infrastructure that enable reusable, enterprise-wide AI capabilities.
• Establish frameworks for model governance, risk management, data access, and security.
• Drive AI adoption across the organization by mentoring leaders, establishing best practices, and fostering AI-native ways of working.

Technical Director – AI Enterprise Architect

Sales Manager

Deployment Engineer

Director, AI Enterprise Architect