Head of Engineering, AI Platform

• 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

• 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

• 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 offer a competitive annual pay range of $300,000 to $350,000 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.

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• 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

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!