Teams at Daptic

Lead backend-focused fullstack development, collaborate with Data/ML teams to design and deploy scalable, performant systems; own architecture, select tech stacks, and balance tradeoffs for rapid iteration and production deployment.

Build and lead scalable data and machine learning systems for an AI platform automating product regulatory compliance. Responsibilities include designing system architecture, selecting technologies, developing backend and internal services, collaborating with data and ML engineers, and balancing speed with scalability. The role requires strong Python, database, microservices, AWS, and Docker expertise, along with startup product development experience and technical leadership.

Own Daptic’s revenue operations function, including CRM and GTM systems, data quality, quote-to-cash processes, billing, procurement portals, reporting, forecasting, planning, territory and quota models, and commission administration. Partner closely with Sales, Growth, Finance, and leadership to improve pipeline visibility, revenue processes, and operational efficiency while building the function from the ground up.