You will lead the design and scaling of the data platform that powers AI-driven vegetation analysis for utility grids. This involves architecting orchestration layers, building production-grade pipelines, and driving the transition to a service-oriented architecture.
Lead the scientific foundation of the Fuel Detection Model by translating satellite and environmental data into wildfire risk insights. Design rigorous validation methodologies and partner with ML engineers to integrate fire science into production systems.
You will own the full sales cycle for Canadian utility accounts, from prospecting and relationship building to closing seven-figure deals. This involves conducting product demonstrations, managing complex stakeholder relationships, and maintaining accurate sales data in the CRM.
You will own full-cycle recruiting for technical roles, partnering with leadership to define requirements and build effective hiring strategies. Additionally, you will refine recruiting systems and processes to support the company's global scaling efforts.
Lead the strategy and roadmap for Vegetation Intelligence, turning remote sensing imagery and ML models into actionable risk data for utilities. Collaborate with data scientists and engineers to transition the product from technical-led to customer-driven while improving model performance.
Own the core product marketing functions including positioning, messaging, pricing, and packaging for utility-focused AI products. Lead sales enablement and go-to-market strategies to help utility leaders manage wildfire and vegetation risks.
Lead and manage cross-functional teams of machine learning engineers and data scientists to deliver ML-driven product capabilities. Accountable for technical direction, talent growth, and strategic partnership with product managers to balance short- and long-term goals.
The Senior Security Engineer will own and evolve the company's security and compliance posture, focusing on SOC 2 and ISO 27001 frameworks. They will lead vulnerability management, secure architecture decisions, and oversee identity and access management across cloud environments.
Lead the development and scaling of the Wildfire Fuel Detection Model, focusing on understanding vegetation structure and wildfire risk. Collaborate with data scientists and product teams to ensure models are accurate and production-ready.
