---
title: 'Head of Engineering, AI Platform at AiDASH, Inc.'
canonical: 'https://feeny.ai/job/head-of-engineering-ai-platform-aidash-inc-palo-alto-5esnz02ntdyx'
type: 'job'
last_seen: '2026-10-18'
---

# Head of Engineering, AI Platform at AiDASH, Inc.

- **Company:** AiDASH, Inc.
- **Location:** Palo Alto, CA
- **Posted:** 2026-10-15
- **Last confirmed live:** 2026-10-18
- **Apply:** https://job-boards.greenhouse.io/aidashinc/jobs/4454159009

## 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 scaling fast — our satellite and AI-powered utility products are set for aggressive customer growth over the next two years, and engineering is at the heart of making it happen. We’re hiring a Head of Engineering, AI Platform to join our engineering leadership team in a newly created role. In this role, you'll build our new Data Inference AI Pipeline team from the ground up to support our rapidly growing customer base.

This is a rare opportunity to build both the team and the system from scratch: you'll shape the architecture, culture, and hiring bar of a new AI team from day one, and own the pipeline that powers our AI products as our customer base grows. In this role, you will report to the VP of Engineering and have real ownership over technical decisions, team design, and engineering practices.

Our pending acquisition by Schneider Electric will accelerate our mission as we bring our combined offering to our joint customer base, and the systems you build will power outcomes at an even greater scale.

Location: Palo Alto, CA (hybrid/2 days per week in the office)

How you'll make an impact:

- Build the Data Inference AI Pipeline team
- Define the team's charter, headcount plan, and hiring bar, and make the first several hires, bringing in talent from both within AiDASH and outside
- Architect a multimodal data inference pipeline that scales with customer growth while keeping compute and infrastructure cost per inference efficient
- Build the model training and human-in-the-loop (HITL) feedback loops that keep our AI accurate and continuously improving
- Establish strong engineering practices from day one, including code review, testing, on-call, and release process
- Lead and grow the team
- Hire, coach, and develop engineering managers and leads, and manage performance as needed, building a high-performing, high-ownership culture
- Partner with Product, Data Science, and Design to shape roadmap trade-offs and sequencing
- Own technical decisions within your team's scope, and partner with the VP of Engineering on cross-org architecture decisions
- Give the leadership a clear, reliable view of progress, risks, and resourcing needs

What success looks like in your first 6 months:

- The Data Inference AI Pipeline team is staffed with its first core hires, from within AiDASH and outside, and running on an architecture that scales with growing data volume without a proportional rise in infrastructure cost
- The team has clear ownership, a steady delivery cadence, and visible engineering practices (code review, on-call, release process) in place
- Leadership has a clear, reliable read on the team's progress, risks, and resourcing needs

What we're looking for:

## Minimum Qualifications

- 10+ years of overall software engineering experience, including 3-5+ years leading engineering teams (managing managers or senior ICs)
- A track record of building a team or system from scratch, not just scaling an existing one
- Hands-on experience architecting data/ML pipelines at scale, with a strong grasp of throughput, latency, and cost-efficiency trade-offs for inference workloads
- Experience building modern AI systems, including reasoning frameworks, agentic capabilities, retrieval-augmented generation (RAG), self-correction loops, and memory and state management, that shipped to production for real customers, not as research or internal proof-of-concept work
- Strong background in cloud-native, multi-tenant SaaS architectures (AWS, Kubernetes, microservices)
- Proven ability to improve delivery predictability and accelerate onboarding and go-live for enterprise customers
- Confidence owning technical decisions within a defined scope, while partnering with a VP on strategy and resourcing
- Experience managing global, distributed engineering teams across multiple time zones
- High ownership mindset, low ego, and a collaborative spirit, with a passion for building teams that do their best work
- Bachelor's or Master's in Computer Science, Engineering, or a related technical field

Preferred Qualifications:

- Experience with geospatial data, satellite imagery, or remote-sensing pipelines
- A background in utilities, energy, or infrastructure
- Experience hiring and scaling a net-new engineering team in a high-growth (Series B/C) startup environment
- Open-source contributions, technical certifications, or published engineering writing

What you'll love:

- Comprehensive Medical, Dental, and Vision Coverage: 100% coverage for employees and 80% for their spouses and children
- Health Reimbursement Account (HRA): 100% funded by AiDASH to cover medical deductibles
- 401(k) Plan: Begin contributing after two months of employment to prepare for your future. Currently, no company match is offered
- Parental Leave: Supportive parental leave with 16 weeks for primary caregivers and 4 weeks for secondary caregivers
- Generous Vacation Policy: Accrue 20 vacation days per year, plus enjoy an additional flex holiday to celebrate whatever feels most important to you
- Winter Break: From December 25th through January 1st, we give everyone time off to recharge and enjoy time with family and friends!

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 annual pay range of $300,000 to $330,000 for this full-time position, which includes a base salary and bonus based on performance. This range reflects the anticipated annual pay range (base + bonus) 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/

## 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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