Lead technical deployments of an AI-powered workplace safety platform across industrial facilities. Responsibilities include configuring edge devices, IP cameras, video management systems, industrial protocols, cloud connectivity, network architectures, and safety monitoring rules. The role conducts technical assessments, troubleshoots multi-vendor environments, supports proofs of concept, coordinates go-lives, documents solutions, and collaborates with customers, sales, implementation, engineering, product, and security teams. Travel to customer sites may comprise 50–60% of the role.

Deploys and maintains edge AI systems in factories and warehouses. Works directly with customers to understand operations, define solutions, prototype and validate workflows on site, troubleshoot deployments, and improve reliability. Collaborates with backend, frontend, and research teams to turn field learnings into reusable modules, playbooks, and product improvements. The role is based in New York City with three office days weekly and up to 30% client-site travel.

Build full-stack features spanning React/TypeScript frontends and C++/Python backends. Design low-latency data pipelines, REST APIs, and async services to process real-time computer vision event streams. Collaborate with product, design, and research, contribute to GCP infrastructure, engage with customers, and champion performance, testing, observability, and documentation.