Head of Engineering, AI Platform

About AiDASH
AiDASH is leading the Prevention First™movement for electric utilities and transforming grid resilience through its pioneering platform that unifies vegetation, asset, storm, and wildfire intelligence. Powered by Satellite First™ 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

The Prevention First movement  is growing, and so is the recognition behind it. In 2026, Forbes named

AiDASHone of America's Best Startup Employers for the 4th consecutive year, and TIME included

AiDASHamong America's Top Green Tech Companies for the 3rd year in a row. Deloitte Technology Fast 500 ™ ranked

AiDASHNo. 12 in the San Francisco Bay Area, and No. 59 overall in theirselectionof the top 500 for 2024.

Join us in Securing Tomorrow Together!

AiDASH is scaling fast — o ur 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, y ou'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)

• 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

• 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

Minimum Qualifications

• 10+ years of overall software…