Teams at Technosylva

Develop and operationalize machine learning and statistical models predicting weather-driven transmission and distribution outages. Integrate weather forecasts, infrastructure data, outage records, and geospatial layers into real-time forecasting pipelines. Apply spatio-temporal, probabilistic, and physics-based modeling to support utility decisions during extreme weather and wildfire events. Collaborate with meteorologists, risk modelers, software engineers, and utility customers while using agentic coding tools to accelerate development and validating scientific correctness.

Manage strategic relationships with primarily fire agency customers, driving onboarding, adoption, retention, renewals, expansion, and customer satisfaction. Translate wildfire, weather, fire behavior modeling, and risk analytics concepts into actionable guidance. Lead training, business reviews, issue resolution, customer advisory activities, and success metrics reporting. Represent customer needs in product planning and improve customer success processes, playbooks, and engagement models.

Manage strategic SaaS customer relationships across fire agencies and utilities, driving onboarding, adoption, retention, renewals, expansion, and customer education. Translate wildfire, meteorological, and risk analytics concepts into operational guidance, resolve escalated issues, conduct business reviews, analyze customer health metrics, and represent customer needs in product planning. The role also develops success playbooks, leads advisory activities, and improves customer success processes.