Shape the Future of AI At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.

Why Join Us

High-Impact Environment : We operate like an early-stage startup, focusing on impact over process.

Responsibilities

quickly, with career growth directly tied to your contributions. Technical Excellence : Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence. Innovation at Speed : We celebrate those who take ownership, move fast, and deliver impact.

Our environment rewards high agency and rapid execution. Continuous Growth : Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI.

Clear Ownership : You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.

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.

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.

Associate Forward Deployed Engineer, Enterprise Accounts