Head of Engineering - Stealth AI Industrial Commerce Startup
AI summary of the role
Hands-on Head of Engineering for a stealth startup building an AI-powered identification and commerce platform for the industrial aftermarket.
What you’ll do
- Lead and grow the engineering team, balancing hands-on development with strategic leadership.
- Architect and own the core platform, including data pipelines, AI/ML integration layers, machine vision systems, and scalable cloud infrastructure.
- Lead ingestion and transformation of complex structured industrial data.
- Build and oversee a mobile-first product experience leveraging camera, LiDAR, and on-device sensors.
What you’ll bring
- 8+ years in software engineering, including 4+ years leading small, high-output teams in early-stage environments.
- Strong backend or full-stack background and ability to remain hands-on.
- Proven experience scaling B2B enterprise SaaS platforms with real-time data pipelines and system integrations.
- Expertise in cloud architecture, CI/CD pipelines, observability, and distributed systems.
Technologies
AI/ML · computer vision · machine vision · LLM · cloud architecture · CI/CD · observability · distributed systems · mobile (iOS/Android) · LiDAR · ERP · DMS
Source and classification
Internal deployment & tooling · Evidence for this classification:
UP.Labs is hiring a hands-on Head of Engineering for a stealth startup building an AI-powered identification and commerce platform for a large, fragmented industrial aftermarket. The industry is massive, essential, and almost entirely un-digitized. The core problem: the journey from how industrial equipment is manufactured to how it gets serviced in the field is fundamentally broken. Parts go unidentified. Wrong parts get ordered and returned at staggering rates. And the experts who know how to navigate this complexity are retiring with no system in place to capture what they know. We're building the platform that fixes this end-to-end - starting with AI-powered visual identification and expanding into the full commerce layer: cross-reference, fit confirmation, inventory, and embedded ordering. The goal isn't just an identification tool. It's the commerce OS for this industry, with
More from the job description
UP.Labs is hiring a hands-on Head of Engineering for a stealth startup building an AI-powered identification and commerce platform for a large, fragmented industrial aftermarket. The industry is massive, essential, and almost entirely un-digitized. The core problem: the journey from how industrial equipment is manufactured to how it gets serviced in the field is fundamentally broken. Parts go unidentified. Wrong parts get ordered and returned at staggering rates. And the experts who know how to navigate this complexity are retiring with no system in place to capture what they know. We're building the platform that fixes this end-to-end - starting with AI-powered visual identification and expanding into the full commerce layer: cross-reference, fit confirmation, inventory, and embedded ordering. The goal isn't just an identification tool. It's the commerce OS for this industry, with identification as the entry point. As the first engineering leader, you'll own architecture, data infrastructure, and team building. You'll remain hands-on early, build the technical foundation from scratch, and set long-term technical direction as we scale. You'll also have access to the UP.Partners ecosystem - product, engineering, design, analytics, legal, talent, finance, and VC - to help accelerate execution. In this role, you will: Lead and grow the engineering team, balancing hands-on dev [... source excerpt omitted ...] and computer vision. A collaborative partner who can work closely with product, data science, and business stakeholders - and represent the technical vision credibly in front of customers and investors. Capable of thriving in ambiguous, high-growth startup environments and scaling teams from 0→1 and beyond. You should have: 8+ years in software engineering, including 4+ years leading small, high-output teams in early-stage environments. Strong backend or full-stack background and ability to remain hands-on. Proven experience scaling B2B enterprise SaaS platforms with real-time data pipelines and system integrations - you think in SLAs, uptime, and enterprise integration pa
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