---
title: 'Program Manager, AI Data Ops at AiDASH, Inc.'
canonical: 'https://feeny.ai/job/program-manager-ai-data-ops-aidash-inc-bengaluru-bt491yq46mcv'
type: 'job'
last_seen: '2026-09-20'
---

# Program Manager, AI Data Ops at AiDASH, Inc.

- **Company:** AiDASH, Inc.
- **Location:** Bengaluru, India
- **Posted:** 2026-09-16
- **Last confirmed live:** 2026-09-20
- **Apply:** https://job-boards.greenhouse.io/aidashinc/jobs/4407978009

## 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 a high-agency Program Manager to help scale our AI Data Ops function: the team responsible for sourcing, processing, and annotating the satellite and remote sensing imagery that powers our AI/ML models.

This role is a new addition to the leadership team, created specifically to bring an automation-first, numbers-backed, process-driven operating model to how Ops runs . This role is designed to reduce operational complexity over time, not to manage individual queues or projects indefinitely. You will sit at the intersection of strategy, operations, vendor management, and data science delivery, helping AI Data Ops evolve from a fast-scaling function into a well-designed, repeatable operating system.

You will need to zoom in to solve real problems on the ground — a stuck vendor SLA, a high priority escalation, a broken handoff — and zoom out to design the processes, playbooks, and automation that stop the same problems from recurring.

This is a high-visibility, build-from-scratch role: you'll be judged on the systems and habits you install, not just the projects you close.

How You’ll Make an Impact:

Automation & AI-native ways of working

- Identify repetitive, manual workflows across annotation, QA, imagery processing and reporting, and drive their automation — via internal tooling, scripting, RPA, or AI-assisted workflows.
- Build and own the automation roadmap and drive it seamlessly across the team

Program & project management

- Run structured program governance (milestones, RAID logs, status cadence) across cross-functional initiatives that no single manager owns end-to-end.
- Bring discipline — timelines, ownership, dependencies — to all team initiatives

Cost reduction

- Own a cost-efficiency roadmap for Ops: vendor spend, tooling spends, rework/error costs, and capacity utilization.
- Build the business case and track savings with real numbers- Clear visible impact

Vendor performance frameworks

- Design and own scorecards/SLAs for imagery, annotation and other third-party vendors.
- Run regular vendor performance reviews and own escalation/renewal/replacement decisions in partnership with managers.

Cross-functional ownership & data ownership

- Serve as the connective tissue across all managers and leads — surfacing shared problems (tooling, process, vendor etc) that no single manager can fix alone.
- Own org-wide SOP creation and the dashboard/metrics layer (throughput, quality, SLA, utilization) so every manager works off the same numbers.

Enable leadership with insight and structure

- Build dashboards/reports tracking throughput, accuracy, vendor performance, and cost efficiency; define KPIs that drive decisions on quality, capacity, and cost
- Manage budgets across data sourcing, annotation ops, and vendor contracts, identifying cost-optimization opportunities
- Translate ambiguous problems into structured, actionable plans

What We're Looking For:

- 5+ years of experience spanning program/project management, business operations, or management consulting — ideally with exposure to automation, Ops, vendor management and cost optimization.
- A genuine track record of building metrics/automation programs from scratch — not just running ones someone else designed.
- Comfort with data: you should be able to build and defend a dashboard or a business case yourself, not just commission one.
- Strong written and verbal communication — you'll be the face of Ops in external conversations.
- Experience managing external vendors/partners and negotiating SLAs.
- Bonus: prior exposure to GIS, geospatial, imagery, or annotation-heavy operations; experience standing up automation/RPA/AI tooling programs (This is not mandatory)
- Must-have: hands-on experience working in a startup environment.

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. [linkedin.com](https://www.linkedin.com/company/aidash)

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