Product Manager

Responsibilities Own product vision, roadmap, and lifecycle for power forecasting products Define and execute product strategy aligned with customer needs and market dynamics Drive commercial performance, including pricing, packaging, and positioning Identify and deliver novel power forecasting capabilities that leverage the best of physical and AI modeling techniques Design and implement agentic workflows that automate forecasting, diagnostics, and optimization tasks Translate new AI/ML capabilities into clear, scalable product features and user value Partner with data science teams on model development, validation, and performance monitoring from inception to full commercialization Manage product backlogs, releases, and priorities in collaboration with engineering teams Define requirements and acceptance criteria; lead product validation and iteration Use data and experimentation to continuously improve product performance Conduct customer discovery and workflow analysis Engage directly with customers to understand operational and trading use cases Support go-to-market activities, including sales enablement and product positioning Collaborate across engineering, data science, UX, and commercial teams Requirements Bachelor’s degree in engineering, data science, atmospheric science, or a related field 5+ years of product management experience in digital, data, or SaaS products Experience managing products across the full lifecycle Strong analytical and problem-solving skills in data-driven environments Strong written and verbal English communication skills We conduct pre-employment drug and background screening Immigration-related employment benefits, for example visa sponsorship, are not available for this position Master’s degree in engineering, data science, atmospheric science, or a related field (preferred) Experience in renewable energy, power markets, or forecasting domains (preferred) Experience with APIs, data platforms, or developer-focused products (preferred) Working knowledge of machine learning concepts and AI-driven product development (preferred) Experience or strong interest in AI-powered products and workflows (preferred) #J-18808-Ljbffr