Aidashinc Head of Engineering, AI Platform at AiDASHinc responsible for building and leading the Data Inference AI Pipeline team. Architect scalable AI pipelines and establish engineering practices to support rapid customer growth.
Responsibilities
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
Qualification
Experience building modern AI systemsStrong background in cloud-nativeExperience managing globalHigh ownership mindsetExperience with geospatial dataA background in utilitiesOpen-source contributionsWhat you'll loveComprehensive MedicalHealth Reimbursement Account (HRA)401(k) Plan
Required
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
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
