Head of Engineering, AI Platform

What you'll do

• Set the team’s charter, hiring plan, engineering practices, and architecture; make the initial hires.
• Build scalable multimodal inference pipelines and model-training and human-in-the-loop feedback loops.
• Lead and develop engineering managers and leads, coordinate with partner teams, and report progress, risks, and resourcing needs.

What they ask for

• Track record of building a team or system from scratch.
• Hands-on experience architecting data/ML pipelines at scale and production experience with modern AI systems, including reasoning frameworks, agentic capabilities, RAG, self-correction loops, and memory and state management.
• Background in cloud-native, multi-tenant SaaS architectures and ability to improve enterprise delivery predictability and onboarding.
• Experience managing global distributed teams and owning technical decisions; Bachelor’s or Master’s in Computer Science, Engineering, or a related technical field.

Nice to have

• Experience with geospatial data, satellite imagery, or remote-sensing pipelines; background in utilities, energy, or infrastructure.
• Experience building a net-new engineering team in a Series B/C startup; open-source contributions, technical certifications, or published engineering writing.

Pay

$300,000 to $350,000 USD total pay (base salary + bonus)

Tools

AWS, Kubernetes, microservices, RAG

AI focus

Build production AI inference pipelines, model-training and human-in-the-loop feedback loops, and modern AI capabilities including reasoning, agents, RAG, self-correction, and memory and state management.