Question
Full-time
10+

Product Manager - AI Data Center Power Platforms

2/8/2026

The Product Manager will define the end-to-end architecture for AI data center power platforms and drive delivery from requirements through prototype bring-up and customer pilots. They will also make data-driven decisions regarding architecture tradeoffs and define the validation strategy for the product.

Working Hours

40 hours/week

Company Size

1,001-5,000 employees

Language

English

Visa Sponsorship

No

About The Company
SolarEdge is a global leader in smart energy technology. By leveraging world-class engineering capabilities and with a relentless focus on innovation, SolarEdge creates smart energy solutions that power our lives and drive future progress. Established in 2006, SolarEdge developed the DC optimized inverter solution that changed the way power is harvested and managed in photovoltaic (PV) systems. The SolarEdge intelligent inverter solution maximizes power generation while lowering the cost of energy produced by the PV system, for improved RoI. Continuing to advance smart energy, SolarEdge addresses a broad range of energy market segments through its diversified product offering, including residential, commercial and large scale PV, battery storage and backup solutions, EV charging, home energy management, grid services and virtual power plants, and uninterrupted power supply (UPS) solutions
About the Role

The Mission: Solve the Power Density Crisis

AI data centers are no longer constrained by compute alone - they are constrained by the physics of power delivery. SolarEdge is building next-generation power platforms for the AI era, moving beyond legacy copper-and-iron infrastructure toward software-defined power systems. Our architecture combines Solid-State Transformers (SST), High-Voltage DC (HVDC), and battery-backed buffering to unlock higher density, higher efficiency, and faster deployment for hyperscale customers.

We are looking for a deeply technical Product Manager who operates at the intersection of hardware physics and software intelligence, translating customer requirements into validated engineering reality.

 

What you will own

  • System-Level Product Definition: Define the end-to-end architecture for AI data center power platforms, including SST/HVDC topology, protection coordination, and software-defined operating modes.
  • Engineering-Grade Requirements: Own the PRD and turn customer needs into crisp, testable specs across HW/FW/SW, from MVP to scale.
  • Positioning and Packaging: Define differentiation, product boundaries, integration strategy, and a roadmap aligned to real customer adoption.

 

Key Responsibilities

  • Drive Architecture Tradeoffs: Make data-driven decisions across constraints: efficiency vs safety vs footprint vs cost-to-deploy.
  • Evidence and Validation Strategy: Define the “proof of trust” and orchestrate validation (fault injection, characterization, reliability evidence) required for hyperscaler-grade diligence.
  • End-to-End Execution Leadership: Act as the execution leader for the product, driving delivery from requirements through prototype bring-up and customer pilots across RnD, Ops, QA, and service.
  • Customer Technical Alignment: Build the artifacts that win technical confidence: technical briefs, pilot success criteria, and traceability matrices.

 


Requirements

  • 7+ years delivering complex mission-critical hardware + software products (PM, systems, technical program, or equivalent).
  • Strong technical foundation in power electronics / energy systems / infrastructure, including how systems fail, recover, and get serviced.
  • Proven ability to lead customer-facing technical work with demanding buyers (hyperscalers, neoclouds, critical infrastructure, EPCs).

 

Preferred qualifications

  • Direct experience with data center power (UPS, switchgear, busway, PDU, power quality, rack power).
  • Familiarity with HVDC / 800 V DC architectures, protection strategies, and system-level power conversion chains.
  • Experience turning validation into trust: test plans, characterization, evidence packs, and reliability readiness.
  • Background in test strategy: turning “it works in the lab” into “it works in the field.”

 

What we offer

  • First-principles innovation: Build the power foundation of the AI era from the ground up, not incremental improvements to legacy tech.
  • High-visibility impact: Work directly with senior leadership to shape the strategy for a major new business segment.
  • The "Rare" Platform: The agility of a deep-tech startup backed by the manufacturing scale and bankability of a global market leader.



Position email

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Key Skills
Product ManagementPower ElectronicsEnergy SystemsInfrastructureTechnical Program ManagementCustomer Technical AlignmentValidation StrategyArchitecture TradeoffsEnd-to-End ExecutionSoftware-Defined SystemsSolid-State TransformersHigh-Voltage DCHyperscale CustomersTest StrategyReliability EvidencePower Delivery
Categories
TechnologyEngineeringManagement & LeadershipEnergyData & Analytics
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Product Manager - AI Data Center Power Platforms - InterviewPal Jobs