Head of Engineering, AI Platform

Moneyboard classification: Published base at/above threshold
Reported USD annual base: $300,000–$350,000
Original source: Greenhouse

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.

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™ 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 vacatio