You will own the end-to-end technical implementation of AI agents, including integration, configuration, and quality assurance for multi-location businesses. Additionally, you will serve as the primary technical point of contact post-launch to troubleshoot issues and ensure agent performance.
You will own the end-to-end customer support experience by managing tickets, triaging issues, and ensuring timely resolutions. Additionally, you will collaborate with internal teams to identify recurring patterns and improve support documentation.
You will work directly with customers to translate complex business problems into reliable software solutions across the platform. This role involves hands-on engineering, product decision-making, and operational optimization using AI-powered development tools.
You will own the product strategy, vision, and roadmap for AI-powered agents while working directly with customers to identify automation opportunities. You will collaborate closely with engineering to translate complex problems into technical requirements and ship high-quality, AI-native product experiences.
You will own the end-to-end customer journey for enterprise clients, from implementation to renewal and expansion. You will also collaborate cross-functionally to deploy AI agents and drive measurable ROI through data-driven insights.
You will develop AI-powered features and automation workflows across the full stack while collaborating with leadership to translate business needs into scalable technical solutions. The role involves owning product areas end-to-end, from customer discovery and requirement gathering to deployment and performance measurement.
The role involves optimizing and enhancing data reporting pipelines using Omni and Google Big Query. The analyst will work with Product Management to implement reports, verify data quality, and provide ongoing maintenance.
