Head of Engineering (AI Platform)

• 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
• 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
• 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
• 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

Benefits

• Multiply your growth - Grow into your best self while you are helping us grow. Where are you on your career path? How can we help?
• Know your view is valued - Your concepts, your perspectives, your opinions, your creativity
• Balance work with life - You’ll need personal time for the things that matter. You’ll have it
• Get world-class rewards - Comprehensive benefits, ESOPs and other perks- 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
• A track record of building a team or system from scratch, not just scaling an existing one
• Proven ability to improve delivery predictability and accelerate onboarding and go-live for enterprise customers
• 10+ years of overall software engineering experience, including 3-5+ years leading engineering teams (managing managers or senior ICs)
• Confidence owning technical decisions within a defined scope, while partnering with a VP on strategy and resourcing
• Strong background in cloud-native, multi-tenant SaaS architectures (AWS, Kubernetes, microservices)
• 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
• 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 managing global, distributed engineering teams across multiple time zones
• 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