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You will lead the product vision, strategy, and execution for the core SaaS Operations product line while driving discovery through customer research and data analysis. You will also partner with engineering and cross-functional teams to define technical solutions and ensure successful product delivery.
About Technosylva
Technosylva is a global leader in wildfire and extreme weather risk mitigation software. The Company’s market-leading solutions, enhanced by AI and machine learning capabilities, provide real-time and predictive insights to support electric utility, insurance and government agency customers.
Technosylva has provided critical solutions for the past 26 years. In 2022 the organization entered a period of significant growth and transformation with investment from TA Associates, a leading growth PE firm, scaling to about 175 employees and offering its product in over 10 countries. In 2024 General Atlantic, a leading global growth investor, announced a strategic growth investment in Technosylva to support the company in its mission.
Role Overview
Technosylva’s products help our customers protect people and assets by making high quality and timely decisions. They use our software to apply world class fire, weather, and climate modeling and simulations to pressing operational and planning decisions.
As a Senior Product Manager at Technosylva you will be responsible for driving the product vision, strategy, and execution for key functionality within our core SaaS Operations product line. You will lead the discovery and delivery of these functions within the product that solve real customer problems while helping scale the business. This role requires deep customer empathy, strong analytical skills, and collaboration across product, engineering, design, and business teams.
The people at Technosylva are passionate, expert, and welcoming. You’ll find this to be an environment where you can grow, while working to address some of the most urgent and challenging problems we face.
Responsibilities
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Preferred Skills
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