Teams at Roboflow

Partner with sales to qualify opportunities and design scalable edge-based computer vision solutions. Translate customer needs into technical requirements, integrate hardware and software components, and advise on deployment, security, APIs, data handling, and model inference. Lead product demonstrations and proofs of concept, troubleshoot technical issues, and collaborate with Product and Engineering on customer feedback and improvements. The role requires strong communication, computer vision and machine learning knowledge, cloud and edge infrastructure experience, programming skills, and approximately 40% travel.

Build, secure, scale, and maintain cloud infrastructure supporting SaaS products, databases, storage, search, microservices, and machine-learning pipelines. Operate Kubernetes workloads, automate infrastructure with Terraform and Helm, improve reliability and observability, optimize costs, define SLOs and SLAs, participate in incident response and on-call rotations, address vulnerabilities, support customer security integrations, and maintain compliance with SOC 2, HIPAA, and GDPR requirements.

Senior product engineer owning end-to-end product surfaces for a computer vision platform. Ship features from idea to production, prioritize roadmap, design UX details, integrate APIs, improve annotation and model-assisted labeling, and collaborate with engineering and users to drive product impact.