Head of Engineering (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Head of Engineering (AI/Logistics): Setting the technical direction and building the engineering team for an AI-native division focused on the Logistics Service Provider market with an accent on agentic AI systems and microservices architecture. Focus on designing data-driven product capabilities and scaling AI agents in production to drive decision intelligence for LSPs.
Location: Hybrid in Chicago (3 days a week in office)
Company
An AI-native division within , a category leader in logistics software, building a dedicated platform for Logistics Service Providers (LSPs).
What you will do
- Set and execute the technical vision for microservices, agentic AI systems, and data pipelines.
- Build, lead, and retain a high-performance engineering team across the US and EU.
- Own the agentic AI engineering roadmap, focusing on how agents are built, reasoned with, and improved.
- Partner with data science to build product capabilities for LSP decision intelligence.
- Collaborate with Forward Deployed Engineers to align the product roadmap with customer needs.
- Contribute to high-level product strategy, hiring, and go-to-market planning.
Requirements
- 12+ years of software engineering experience with a track record of shipping large-scale products.
- 8-10 years of engineering leadership managing high-performance teams.
- Hands-on experience with microservices architecture, agentic AI systems, and data science.
- Must be authorized to work in the US without current or future employer-sponsored visa support.
- Commitment to working on-site in Chicago 3 days a week.
- Ability to travel to Bangalore and visit customers.
Nice to have
- Experience managing global teams.
- Background in logistics or supply chain technology.
Culture & Benefits
- Opportunity to operate with the scope of an AI startup backed by the infrastructure of a $124M business.
- Flat organizational structure with forward-deployed engineering.
- Modern workflow utilizing AI coding tools and agents as the product surface.
- Fast-paced environment where product pilots are deployed in weeks.
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