
AiDASH is making critical infrastructure industries climate resilient and sustainable. Using our satellite-first platform for grid inspection and monitoring, our AI applications enable electric and…

AiDASH is making critical infrastructure industries climate resilient and sustainable. Using our satellite-first platform for grid inspection and monitoring, our AI applications enable electric and…
What they do: Satellite-first, AI-powered SaaS for asset inspection, vegetation management, and grid resilience for utilities and critical infrastructure
Founded: Early 2019
Headquarters: Palo Alto, California
Recent funding: Series C ~$58.5M (Apr 2024); total disclosed funding ~ $91.5M per records
Founders / CEO: Abhishek Vinod Singh, Nitin Das, Rahul Saxena (Abhishek Vinod Singh is CEO)
Asset inspection and monitoring for utilities and critical infrastructure (vegetation management, grid resilience, pipeline monitoring).
2019
Software Development
$6.0M
$27.0M
$10.0M
$58.5M
“Backed by climate-tech VCs and strategic corporate venture arms including Lightrock, G2 Venture Partners, SE Ventures (Schneider Electric), Benhamou Global Ventures, National Grid Partners, and others”
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About AiDASH 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™. Learn more at www.aidash.com.
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. 12 among San Francisco Bay Area companies, and No. 59 overall in their selection of the top 500 for 2024.
Join us in Securing Tomorrow!
The Role As Principal Product Manager – Platform at AiDASH, you will combine the latest machine learning and data science techniques with sharp product and design thinking to build a robust platform that powers AiDASH's growing suite of products. You will be responsible for building the core of our data management platform, delivery orchestration systems, enabling autonomous decision-making with Hilo, and developing the API layers that allow internal and external systems to interact with out Platform.
Reporting directly to the VP - Product & Engineering, you will shape platform product strategy by connecting the company's vision and goals with a deep understanding of our customers, products, and current and future AI/ML capabilities. You will own the platform roadmap end-to-end, from ideation through scaling, and partner closely with engineering, data science, and design teams to define the processes that drive high-quality delivery and meaningful business outcomes, while making thoughtful short- and long-term trade-offs.
How you'll make an impact:
What we're looking for:
What you'll love:
We are proud to be an equal-opportunity employer. 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 offer a competitive base pay range for this full-time position, which is between $200,000 and $250,000 per year. This range reflects the anticipated base salary for new hires. We strive to ensure our compensation packages are equitable and aligned with industry standards. Your recruiter can share more about compensation during the hiring process.
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.
Read our Privacy Policy here: https://www.aidash.com/policy/privacy-policy/
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Data Platform Strategy
Define and own the platform product strategy, roadmap, and product definition across the full lifecycle — from concept to scale
Define and execute the strategy for data ingestion, processing, storage, and governance to support our Spatial and Temporal Single source of Truth
Partner with data platform engineering, analytics, and business teams to establish a unified data foundation enabling self-serve access and trusted insights
Drive initiatives around data quality, lineage, versioning, cataloging and observability to ensure data reliability at scale
Define and track KPIs for platform adoption
Champion data democratization — enabling both technical and non-technical stakeholders to leverage data effectively
Agentic AI Driven Delivery Orchestration
Own the product vision and roadmap for Agentic AI capabilities within the delivery and operational orchestration domain
Translate complex delivery workflows into intelligent, autonomous agent pipelines — spanning planning, execution, exception handling, and feedback loops
Define evaluation frameworks for agent performance, reliability, safety, and human-in-the-loop escalation paths
API Platform
Define the strategy for external API layers — covering design standards, versioning, access control, rate limiting, and developer experience
Own the API product lifecycle from design to deprecation, ensuring APIs are reliable, well-documented, and easy to integrate
Build and maintain a developer portal and self-service onboarding experience for API consumers