Staff Product Manager - Utilities
Aidashinc · Bengaluru, Karnataka, India · 2026-07-15
About this role
About AiDASH
AiDASH is leading the PreventionFirst™movement for electric utilities and transforming grid resilience through its pioneering platform that unifies vegetation, asset, storm, and wildfire intelligence. Powered by SatelliteFirst™ Inspection & Monitoring, AiDASH delivers comprehensive visibility across the entire grid at the right frequency and budget, using the right data modality. More than 200 customers trust AiDASH to keep the lights on, spend where it counts, and defend every decision, Securing Tomorrow across every mile of the grid. Learn more at www.aidash.com.
The PreventionFirst movement is growing, and so is the recognition behind it. In 2026, Forbes named AiDASH one of America's Best Startup Employers for the 4th consecutive year, and TIME included AiDASH among America's Top GreenTech Companies for the 3rd year in a row. Deloitte Technology Fast 500™ ranked AiDASH No. 12 in the San Francisco Bay Area, and No. 59 overall in their selection of the top 500 for 2024.
Join us in Securing Tomorrow Together!
The Role
As a Staff Product Manager, you'll own and drive the strategy, development, and market impact of our AI-powered platforms that help utilities prevent failures, anticipate risks, and respond to emergencies. You’ll lead products across our portfolio, including AIMS for intelligent asset monitoring, IVMS for vegetation and wildfire risk assessment, and CRIS for a unified view of climate and operational risk. Your role will be critical in translating complex technical and operational challenges into actionable product roadmaps that improve grid reliability, safety, and operational efficiency.
• Asset Inspection and Monitoring System (AIMS): Computer vision and machine learning to detect equipment anomalies, corrosion, structural defects, and failure indicators across transmission and distribution infrastructure
• Intelligent Vegetation Management System (IVMS): AI-powered assessment of vegetation encroachment risks, growth rates, and wildfire hazards in utility corridors
Skills asked for
- computer vision
- machine learning
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