About the Role

As a forward deployed engineer, you are in the unique position of helping Labelbox’s customers build and operationalize transformational AI technology. As part of the enterprise team, we are not just helping someone use our application and services, we are collaborating with business and technical teams as they build pioneering technology, often the first of its kind for their industry. You will use a unique mix of engineering, product, and sales skills to deliver data on high stakes projects for leading enterprise customers. As the technical expert post-sale, you’ll guide customers through implementation and on-going management of their Labelbox pipelines, provide best practices for achieving their ML goals, and identify solutions to any technical obstacles they encounter along the way.  

Your day to day

• Develop a trusted advisor relationship with customer stakeholders and executive sponsors to drive the value of Labelbox
• Help organizations build cutting-edge AI applications by staying current with the emerging state of the ML dev lifecycle where training data is the source code
• Guide customers through architecture designs identifying solutions for various environments including SaaS integration, API, SSO, and security 
• Continuously learn and improve skills in software, computer vision, and ML 
• Provide mentorship and guidance through demonstrable knowledge of Labelbox’s products, solutions and methodologies
• Partner with Account Executives to identify growth opportunities and accurately forecast renewals
• Manage onboarding, implementation, for Labelbox’s highly technical customers
• Partner closely with other cross-functional team members to translate business needs and product requirements into new solutions for customers
• Be an internal advocate for customer needs and feature requests across product, internal support, engineering and Sales
• Help drive customer references and case studies

About you

• Master’s degree or higher in Computer Science, Engineering, Mathematics, or AI-related fields.
• 2+ years of professional experience in a related field.
• Proficiency in Python and data analysis.
• Prior experience leading LLM projects.
• Exceptional communication skills: ability to convey complex technical concepts clearly.
• Strong project management and organizational skills.
• Passion for AI and the intersection of technology, product, and customer needs.