AiDASH is an enterprise AI company and the leading provider of vegetation risk intelligence for electric utilities. Powered by proprietary VegetationAI™ technology, AiDASH delivers a unified remote grid inspection and monitoring platform that uses a SatelliteFirst approach to identify and address vegetation and other threats to the grid. With a prevention-first strategy to mitigate wildfire risk and minimize storm impacts, AiDASH helps more than 140 utilities reduce costs, improve reliability, and lower liability across their networks. AiDASH exists to safeguard critical utility infrastructure and secure the future of humanAIty™. We are a Series C growth company backed by leading investors, including Shell Ventures, National Grid Partners, G2 Venture Partners, Duke Energy, Edison International, Lightrock, Marubeni, among others. We have been recognized by Forbes two years in a row as one of 'America's Best Startup Employers.' We are also proud to be one of the few software companies in Time Magazine's 'America's Top GreenTech Companies 2024'. Deloitte Technology Fast 500™ recently ranked us at No. As a Senior 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. 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
Climate Risk Intelligence System (CRIS): Unified enterprise platform that converges intelligence from AIMS and IVMS to provide a holistic view of wildfire and storm risk, enabling utilities to prioritize investments, optimize maintenance strategies, and make data-driven decisions during both day-to-day operations and emergency events

You'll take full ownership of your product area, collaborating closely with engineering, customer success, sales, and leadership to deliver solutions from concept to enterprise adoption. Working at the intersection of AI, utility operations, and infrastructure resilience, your product leadership will directly prevent outages, enhance emergency preparedness, and strengthen critical infrastructure for millions of people.

Implement AiDASH 2026 Product Vision - rebuilding the utilities product stack from scratch, which includes an integrated product experience with Generative AI as a core component.
Incorporate Agentic AI into Product Workflows — define how autonomous, multi-step AI workflows get designed and delivered across AiDash's utility product portfolio, including asset inspection, vegetation management, and climate risk use cases.
Translate field operations into AI-native products — work closely with utilities customers to understand maintenance and inspection workflows (e.g., vehicle-based photo capture, asset condition monitoring) and reimagine them as intelligent, automated pipelines.




Partner with AI/ML and engineering teams — deeply engage with data science and computer vision teams to shape model capabilities, define evaluation criteria, and make sharp trade-offs between automation accuracy and human review thresholds.
communicate clearly across technical and non-technical audiences.
4–8 years of product management experience, with a strong focus on B2B SaaS products

- Hands-on experience building or shipping agentic AI systems or autonomous workflow products — not just products that use AI as a feature, but systems where AI agents drive multi-step decision-making
- Familiarity with computer vision applications — understanding how image/video data is processed, modeled, and operationalized in real-world workflows
- Experience designing human-in-the-loop systems — knowing where to place human checkpoints, how to handle model uncertainty, and how to build operator trust in AI outputs
- comfortable working across engineering, data science, sales, and customer-facing teams
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related discipline
- Valuable to have exposure to GIS, satellite imagery, or remote sensing products.
- Experience working with enterprise customers on workflow digitization or automation initiatives
- We are committed to embracing diversity and inclusion in our hiring practices, and we promote a work environment where everyone, from any race, color, religion, sex, sexual orientation, gender identity, or national origin, can do their best work.

We are committed to providing an inclusive and accessible interview experience for all candidates. Please let us know if you require any accommodation during the interview process, and we will make every effort to meet your needs.

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📌 Sr. Product Manager Remote in Remote Full Time (Bengaluru)
🏢 AiDash
📍 Bengaluru