--- title: 'Manager, AI Data Ops at AiDASH, Inc.' canonical: 'https://feeny.ai/job/manager-ai-data-ops-aidash-inc-bengaluru-fekt6ps5ns8z' type: 'job' last_seen: '2026-09-06' --- # Manager, AI Data Ops at AiDASH, Inc. - **Company:** AiDASH, Inc. - **Location:** Bengaluru, India - **Posted:** 2026-08-19 - **Last confirmed live:** 2026-09-06 - **Apply:** https://job-boards.greenhouse.io/aidashinc/jobs/4354042009 ## 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 AiDash is looking for an experienced Manager – AI Data Ops to lead a team responsible for sourcing, processing, and annotating satellite and remote sensing imagery that powers our AI/ML models. This role blends hands-on GIS expertise with strong people management and vendor coordination skills, and is central to ensuring high-quality, timely, and scalable geospatial data pipelines. The ideal candidate has deep experience working with satellite and aerial imagery, understands the nuances of remote sensing data sourcing, and has successfully managed both in-house annotation teams and external vendor partners. How you'll make an impact: GIS & Remote Sensing Operations - Lead end-to-end sourcing of satellite imagery, aerial data, and remote sensing datasets from various providers (e.g., optical, SAR, multispectral, hyperspectral sources). - Oversee image annotation and labeling workflows for use cases such as land cover classification, vegetation/asset monitoring, infrastructure mapping, and change detection. - Ensure annotation accuracy, consistency, and adherence to defined quality standards (QA/QC frameworks) across all delivered datasets. - Define and continuously improve annotation guidelines, taxonomies, and labeling protocols in collaboration with Data Science and ML teams. - Stay current with GIS tools, remote sensing platforms, and annotation technologies (e.g., QGIS, ArcGIS, ERDAS, Google Earth Engine, CVAT, Labelbox, or similar). People Management - Manage, mentor, and grow a team of GIS analysts/annotators (team size: specify, e.g., 15–40+), including performance reviews, capacity planning, and skill development. - Build a strong bench of GIS talent through structured hiring, onboarding, and training programs. - Drive productivity, quality, and throughput targets across the team through KPIs and process discipline. - Foster a collaborative, high-accountability team culture. Vendor & Stakeholder Management - Identify, evaluate, and onboard third-party vendors/BPOs for image annotation and data labeling at scale. - Negotiate SLAs, pricing, and turnaround commitments with vendor partners; monitor ongoing performance against these agreements. - Act as the primary point of contact for vendor escalations, quality issues, and capacity scaling needs. - Coordinate cross-functionally with Data Science, Engineering, Product, and Delivery teams to align annotation output with project timelines and model requirements. Process & Reporting - Build dashboards/reports to track annotation throughput, accuracy metrics, vendor performance, and cost efficiency. - Identify opportunities for automation/semi-automation in the annotation pipeline (e.g., active learning loops, pre-labeling with models) to improve efficiency. - Manage budgets related to data sourcing, annotation operations, and vendor contracts. Who we're looking for: - 8+ years of overall experience in GIS, remote sensing, or geospatial data operations; minimum 2+ years managing teams directly. - Strong hands-on knowledge of satellite imagery sourcing (optical, SAR, multispectral) and remote sensing data pipelines. - Proven experience managing image annotation/data labeling teams and processes at scale. - Demonstrated experience handling third-party vendors/BPOs — including contracting, SLA management, and performance monitoring. - Proficiency with GIS software (ArcGIS, QGIS) and familiarity with remote sensing platforms (Google Earth Engine, ERDAS Imagine, ENVI, etc.). - Working knowledge of annotation/labeling tools (CVAT, Labelbox, SuperAnnotate, or in-house tools). - Track record of driving automation heavily in previous roles — replacing manual/repetitive steps with tools, scripts, or AI-assisted workflows. - An "AI-native" way of working — comfortable using LLMs/AI copilots as part of daily workflow (analysis, documentation, communication, process design), not just as a novelty. - Experience working with AI/ML teams and understanding of how annotated data feeds into model training. - Strong understanding of quality frameworks (QA/QC) for spatial data and annotation accuracy. - Excellent communication, stakeholder management, and cross-functional collaboration skills. - Bachelor's/Master's degree in Geography, GIS, Remote Sensing, Geoinformatics, Environmental Science, or a related field. 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 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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