--- title: 'Geospatial Analyst at AiDASH, Inc.' canonical: 'https://feeny.ai/job/geospatial-analyst-aidash-inc-bengaluru-60b8c9j1v6bj' type: 'job' last_seen: '2026-09-13' --- # Geospatial Analyst at AiDASH, Inc. - **Company:** AiDASH, Inc. - **Location:** Bengaluru, India - **Posted:** 2026-09-08 - **Last confirmed live:** 2026-09-13 - **Apply:** https://job-boards.greenhouse.io/aidashinc/jobs/4362936009 ## Job description ## 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.](https://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](https://www2.deloitte.com/us/en/pages/technology-media-and-telecommunications/topics/north-america-technology-fast-500.html?utm_source=bngaiwebsite&utm_medium=referral&utm_campaign=evolve-banner)™ 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 Geospatial Analyst at AiDASH, you will produce high-quality annotated datasets from diverse imagery sources — satellite, LiDAR, aerial, and ground-based panoramic images and videos. Your work will directly feed AI/ML pipelines and client deliverables that protect critical infrastructure. This role demands a sharp eye for detail, comfort working with visual and geospatial data at scale, and fluency with modern AI tools. You won’t just annotate images; you’ll build AI-accelerated workflows that make the entire team faster. How You’ll Make an Impact - Annotate and label imagery (satellite, LiDAR, aerial, drone, ground-based panoramic photos and videos) to identify, classify, and delineate features such as vegetation, assets, terrain, and infrastructure components - Prepare, extract, and organize spatial and non-spatial data based on AI model and customer delivery requirements - Review annotated data for patterns, trends, and quality issues using annotation platforms and in-house tools - Use AI tools and assistants to accelerate annotation and workflows, auto-generate documentation, and draft reports - Perform annotation tasks including object classification, digitization, geo-referencing, and feature creation across multi-source imagery - Leverage generative AI tools to build automations or semi-automated annotation pipelines that boost team productivity - Collaborate with AI/ML engineers to define annotation guidelines, refine labelling schemas, and ensure datasets meet model training and delivery standards - Ensure productivity targets are met with utmost focus on annotation quality, consistency, and adherence to project specifications What We’re Looking For - 1 to 4 years of work experience in imagery annotation, image analysis, remote sensing, or a related domain - Hands-on experience with annotation and labelling platforms; familiarity with GIS software is an added advantage - Demonstrated use of generative AI tools(e.g. Claude, ChatGPT) to enhance day-to-day work — whether for analysis, drafting reports, automating repetitive tasks, improving annotation speed, or any other productivity gains - Comfortable using Gen AI tools to draft reports, generate annotation guidelines, and summarize analysis outputs with sound judgment - Working knowledge of Python or scripting for data processing and automation is preferred; geospatial libraries are a bonus - Experience working with satellite imagery, aerial photography, LiDAR point clouds, or video annotation for AI/ML pipelines - Ability to learn quickly and develop deep functional knowledge of project specifications, annotation schemas, and quality procedures - Strong focus on data quality, annotation accuracy, and consistency across large-scale datasets 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, colour, 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. Read our Privacy Policy here: https://www.aidash.com/policy/privacy-policy/ ## About AiDASH, Inc. ## Company Overview - **One-liner**: AiDASH is an enterprise AI company providing a satellite-first platform to help core industries like electric utilities manage geographically distributed assets for resilience, reliability, and sustainability. - **Entity Type**: Private (Series C) - **Headquarters**: Palo Alto, California, United States (also listed as San Jose, California) - **Founded**: 2019 - **Founders**: Abhishek Singh (Co-Founder & CEO), Rahul Saxena (Co-Founder, Chief Product & Technology Officer), Nitin Das (Co-Founder & Chief AI Officer) ## Core Business - **Primary industry/industries**: Climate Technology, Enterprise AI, Utility Vegetation Management, Critical Infrastructure - **Target customers**: B2B, primarily electric utilities, gas utilities, transportation (pipelines, railways), mining, energy, and water/wastewater industries. Customers are large enterprises with geographically distributed assets. - **Mission or purpose statement**: "To create a greener, cleaner, safer planet from space." The company aims to revolutionize operations, maintenance, and sustainability for core industries using satellites and AI. ## Products & Services - **Intelligent Vegetation Management System (IVMS™)**: AI-powered, SatelliteFirst approach for utilities to plan, prioritize, and execute vegetation management. Fuses satellite imagery, ground truth, and historical data to identify vegetation threats, optimize trim cycles, and improve grid reliability. - **Climate Risk Intelligence System (CRIS™)**: Assesses and mitigates risks from storms, wildfires, and climate change on distributed assets. - **Integrity and Encroachment Management System (IEMS™)**: Monitors infrastructure integrity and manages encroachment risks for pipelines, transmission lines, and rights-of-way. - **Biodiversity Net Gain Management System (BNGAI™)**: Helps companies manage biodiversity and carbon programs, ensuring compliance and sustainability reporting. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed - **Key Metric**: Total Funding of **$101.5M**; Latest Annual Revenue estimated at **$16.4M** [linkedin.com]. - **Notable Investors/Partners**: Lightrock (lead investor in Series C), Benhamou Global Ventures, National Grid Partners, Shell Ventures, SE Ventures, G2 Venture Partners. - **Growth Signals**: - **Deloitte Technology Fast 500**: Ranked No. 12 among San Francisco Bay Area companies and No. 59 overall in 2024. - **TIME America's Top GreenTech Companies 2025**: Ranked 5th in the "Data & Analytics" category and 151st overall (two years running). - **Forbes America's Best Startup Employers 2025**: Ranked 47th among tech companies and 215th overall. - **Customer Base**: Over 185 companies globally, including more than 140 utilities. - **Headcount**: 339 employees, with significant growth in India (65% of workforce) and expansion into the UK, Canada, and Australia. ## Competitive Advantages - **SatelliteFirst Platform**: A unique approach that uses satellite imagery and AI for continuous, near-real-time remote monitoring of assets, replacing legacy, costly, and manual inspection methods. - **Proprietary VegetationAI™ Technology**: Deep domain-specific AI models trained for vegetation risk intelligence, a critical need for utilities facing wildfire and storm risks. - **Full-Stack Vertical SaaS**: Provides a complete solution from data ingestion and analytics to workflow automation and field tools, deeply integrated into utility operations. - **Strong Regulatory Tailwind**: Helps utilities meet stringent compliance requirements from regulators regarding vegetation management, wildfire risk, and biodiversity reporting. - **Patented Technology**: Has filed 17 patents related to machine learning, electric power blackouts, and regulatory compliance. ## Strategic Focus - **Expand into New Industries**: Beyond electric utilities, actively targeting gas utilities, transportation (pipelines, railways), mining, and water/wastewater. - **Deepen AI Capabilities**: Continuing to invest in AI models for climate risk, storm prediction, wildfire mitigation, and biodiversity monitoring. - **Geographic Expansion**: Growing presence in the UK, Canada, Australia, and India to serve a global customer base. - **Product Integration**: Enhancing platform integration with existing utility grid software stacks (e.g., via the appointment of a Field CTO for utilities). ## Why Work Here - **Mission-Driven**: Employees are motivated by the company's vision to "create a greener, cleaner, safer planet from space" and work on solving critical climate and infrastructure challenges. - **High Growth & Recognition**: Consistently recognized by Deloitte, TIME, and Forbes as a fast-growing, top employer, indicating strong momentum and a positive work environment. - **Award-Winning Culture**: Named one of Forbes' America's Best Startup Employers for two consecutive years (2024, 2025). - **Comprehensive Benefits**: Offers top-of-industry compensation, ESOPs (Employee Stock Ownership Plans), and "world-class rewards." - **Global & Diverse Team**: Offices in Palo Alto (HQ), with major engineering and operations hubs in India and the UK. The team is split across Research (26%), Technical (25%), and other functions. - **Career Development**: Open roles across Engineering, Data Science, Product Management, Customer Success, and Sales, with a strong focus on AI and climate tech. ## Sources 1. [aidash.com](https://www.aidash.com/) 2. [aidash.com/about](https://www.aidash.com/about) 3. [aidash.com/careers](https://www.aidash.com/careers/) 4. [cbinsights.com](https://www.cbinsights.com/company/aidash) 5. 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