AI Product Manager – Energy Intelligence

Description Power the Future with us! At SolarEdge (NASDAQ: SEDG), we're a global leader in smart energy technology, with over 3,000 employees, offices in 34 countries, and millions of installations worldwide. Our innovative solutions include solar inverters, battery storage, backup systems, EV charging, and AI-based energy management. We're committed to making clean, green energy the primary power source for homes, businesses, and beyond. With the growing demand for electricity, the need for smart, clean energy sources is constantly rising. SolarEdge offers amazing opportunities to develop your skills in a multidisciplinary environment, covering everything from research and development to production and customer supply. Work with talented colleagues, tackle exciting challenges, and help create a sustainable future in an industry that's always evolving and innovating. Join us and be part of a company that values creativity, agility, and impactful work. You'll own the product vision and roadmap for SolarEdge's data platform - the energy intelligence operating system spanning device integration, data infrastructure, AI/ML services, and third-party developer enablement. This is a senior IC-to-lead role with direct influence on architecture decisions, partnership strategy, and organizational build-out. What You'll Do: Own the platform product roadmap across platform core layers Define and prioritize shared/core services with clear ownership, versioning, and SLAs Drive the semantic/data layer strategy that enables internal products and external agents to consume energy intelligence Partner with engineering leadership on DevOps model, agentic dev lifecycle adoption, and platform reliability Work cross-functionally with business development to translate partner requirements into platform capabilities Requirements 8+ years in platform, infrastructure, or data product management — ideally in energy, IoT, or systems-of-systems environments Experience owning shared services or internal platform products (not just customer-facing features) Comfort operating at the architecture level — you can hold a conversation about API design, event-driven systems, edge-cloud trade-offs, and data pipelines Track record building or scaling a platform team (hiring, structuring squads, establishing PM processes) Familiarity with AI/ML productization — you don't need to train models, but you understand how to scope, prioritize, and ship data-driven products Strong opinion on developer experience and ecosystem strategy (open source, partner SDKs, API versioning) Ability to work in a ~200-person R&D org where you'll need to influence without always having direct authority Nice to Have: Domain knowledge in DER, VPP, grid services, or energy management systems Experience with DERMS, SCADA, or utility-facing platforms Familiarity with regulatory frameworks (FERC 2222, §14a, BSI) Hebrew and Englis language skills