
51 - 200 employees
Founded 1997
đ€ Artificial Intelligence
âïž SaaS
đ€ B2B
Artificial Intelligence âą SaaS âą B2B
<Technosylva> is a provider of AI-driven wildfire and extreme weather risk mitigation software that delivers real-time forecasting, predictive simulations, and incident management tools for electric utilities, fire agencies, and insurers. Their cloud-based products (Wildfire Analyst, Tactical Analyst, fiResponse) offer situational awareness, operational decision support, and risk quantification to help customers plan, operate, and respond to wildfire and severe weather events.
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51 - 200 employees
Founded 1997
đ€ Artificial Intelligence
âïž SaaS
đ€ B2B
Artificial Intelligence âą SaaS âą B2B
<Technosylva> is a provider of AI-driven wildfire and extreme weather risk mitigation software that delivers real-time forecasting, predictive simulations, and incident management tools for electric utilities, fire agencies, and insurers. Their cloud-based products (Wildfire Analyst, Tactical Analyst, fiResponse) offer situational awareness, operational decision support, and risk quantification to help customers plan, operate, and respond to wildfire and severe weather events.
âą Build strong, lasting relationships with customers by actively engaging with them throughout their journey. âą Proactively identify opportunities for upselling and cross-selling based on the customer's evolving needs. âą Develop an in-depth understanding of our Operational and Planning products for wildfire and extreme weather. âą Effectively communicate the value proposition of our solutions, addressing customer inquiries and providing guidance on best practices to maximize usage and ROI. âą Support the onboarding process for new customers, ensuring a smooth transition from Sales to Implementation to CS. âą Provide training sessions and workshops for customers in coordination with subject matter experts, ensuring they have a comprehensive understanding of our products and how to use them effectively to achieve their desired outcomes. âą Serve as the primary point of contact for customer inquiries, issues, and escalations. âą Collaborate with internal teams, including Technical Support and Delivery, to address customer concerns promptly and provide timely solutions. âą Utilize customer data and metrics to identify usage trends and potential areas for improvement. âą Provide data-driven insights and recommendations to help customers optimize their experience with our solutions. âą Collaborate closely with the Sales team to support the renewal process by demonstrating ongoing value to customers. âą Identify opportunities for upselling and expansion based on customer engagement and needs. âą Act as the voice of the customer within the organization, conveying customer feedback and insights to influence product enhancements and improvements on the roadmap.
âą Proven experience in Customer Success, Account Management, or related client-facing roles within the tech industry. âą Experience working in or with industries related to wildfire risk mitigation, weather analytics, and/or electric utilities. âą Exceptional communication and interpersonal skills, with the ability to build rapport and establish trust with customers. âą Strong problem-solving skills and the ability to navigate challenging situations with a positive attitude. âą Technical aptitude and the ability to understand and explain complex tech solutions. âą Data-driven mindset, comfortable using data and metrics to drive customer engagement and success. âą Proficiency in using Customer Relationship Management (CRM) software. âą Self-motivated and able to work independently, as well as collaborate effectively within cross-functional teams. âą Strong organizational skills and the ability to manage multiple customer relationships simultaneously. âą Background in SaaS-based risk management, geospatial analytics, or emergency response technology is a plus. âą Familiarity with geospatial data (GIS) and predictive modelingâespecially as they relate to risk assessment. âą Ability to quickly learn and articulate the value of fire behavior modeling, meteorological data, and risk analytics tools.
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