AI Product Manager – Energy Intelligence
SolarEdge Technologies · Herzliya, Tel Aviv District, Israel
- On site
- Full-time
- $150,000 / year
- Herzliya, Tel Aviv District, Israel
Job highlights
- Lead product vision for energy intelligence platform.
- Define shared services and data layer strategy.
- Collaborate with engineering and business development.
- Build and scale platform product teams.
- Shape AI/ML productization and developer experience.
About the role
About SolarEdge Technologies
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.
What You'll Do:
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.
- 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 English language skills
Key skills/competency
- AI Product Management
- Energy Intelligence
- Platform Product Management
- Data Infrastructure
- AI/ML Productization
- Developer Experience
- API Design
- Event-driven Systems
- Team Building
- Product Roadmap
Skills & topics
- AI Product Manager
- Energy Intelligence
- Product Management
- Platform
- Infrastructure
- Data Management
- AI
- ML
- IoT
- Smart Energy
- Roadmap
- SaaS
- Technology
- Product Strategy
- API
- DevOps
- Cloud
- Edge Computing
How to get hired
- Tailor your resume: Highlight experience in platform, infrastructure, or data product management, especially in energy or IoT.
- Showcase technical depth: Emphasize your understanding of API design, event-driven systems, and data pipelines.
- Demonstrate leadership: Provide examples of building or scaling product teams and influencing without authority.
- Prepare for architecture discussions: Be ready to discuss trade-offs in edge-cloud, DevOps models, and developer experience.
- Understand the domain: Familiarize yourself with smart energy technologies and AI/ML productization.
Technical preparation
Behavioral questions
Frequently asked questions
- What specific AI/ML productization experience is SolarEdge looking for in an AI Product Manager?
- SolarEdge is seeking an AI Product Manager who understands how to scope, prioritize, and ship data-driven products. While you don't need to train models yourself, a solid grasp of the AI/ML product lifecycle, including identifying use cases and understanding data requirements, is essential.
- How important is experience with energy-specific platforms for the AI Product Manager role at SolarEdge?
- While not strictly required, domain knowledge in energy, such as DER, VPP, grid services, or energy management systems, is highly beneficial. Experience with platforms like DERMS or SCADA is also a plus, indicating a strong understanding of the energy sector's technical landscape.
- What does SolarEdge mean by 'owning shared services or internal platform products' for the AI Product Manager position?
- This means SolarEdge is looking for a Product Manager who has experience managing products that serve internal teams or other developers within the company, rather than solely customer-facing products. This includes defining clear ownership, versioning, and service level agreements (SLAs) for these core platform components.
- How can I demonstrate my ability to influence without direct authority as an AI Product Manager at SolarEdge?
- In your application and interviews, focus on examples where you've successfully driven product initiatives by building consensus, using data to persuade stakeholders, and fostering strong cross-functional relationships. Highlight instances where you've guided engineering and business development teams toward a shared vision.
- What are the key architectural concepts an AI Product Manager should be comfortable discussing for this role?
- The AI Product Manager should be comfortable discussing API design, event-driven systems, edge-cloud trade-offs, and data pipelines. This indicates a need for a product manager who can engage deeply with engineering on the technical foundations of the energy intelligence platform.
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