
11 - 50 employees
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
Riva Scientific is a company that offers innovative solutions in the Life Sciences and Biotechnology sectors, as well as Information Technology services. They provide a comprehensive range of products and services including managed services, strategic consulting, and staffing solutions tailored to the unique challenges faced by Pharmaceuticals and Technology companies. Riva Scientific specializes in laboratory automation, software validation, custom application development, and staffing, helping clients navigate complex regulatory environments and improve operational efficiencies.
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11 - 50 employees
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
Riva Scientific is a company that offers innovative solutions in the Life Sciences and Biotechnology sectors, as well as Information Technology services. They provide a comprehensive range of products and services including managed services, strategic consulting, and staffing solutions tailored to the unique challenges faced by Pharmaceuticals and Technology companies. Riva Scientific specializes in laboratory automation, software validation, custom application development, and staffing, helping clients navigate complex regulatory environments and improve operational efficiencies.
• Build SaaS products in a modern SaaS environment • Lead engineering for platform and core systems • Develop, evolve, and maintain high-volume, scalable solutions • Organize engineering teams to deliver customer value iteratively • Hire, build teams, lead and coach managers, and manage performance • Work with architecture and product management leaders to develop and execute a shared product and technical vision • Apply best practices in scalable delivery, site reliability engineering, and developer experience • Work effectively in a fully remote environment
• 10+ years of experience in engineering leadership building SaaS products in a modern SaaS environment • 5+ years of experience at the director level or higher • Hands-on experience with Claude Code or similar AI development tools • Experience and knowledge of best practices for scalable delivery, core platform systems, site reliability engineering, and developer experience • Experience developing, evolving, and maintaining high-volume, scalable solutions • Deep understanding of organizing engineering teams to deliver customer value iteratively • Skilled at hiring, building teams, leading and coaching managers, and performance management • Demonstrated success working with architecture and product management leaders to develop and execute a shared product and technical vision • Experience in a fully remote environment
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