Head of Engineering - Stealth AI Industrial Commerce Startup

About the role

The Head of Engineering will lead and grow the engineering team, architect and own the core platform, and build the technical foundation from scratch. They will also set long-term technical direction as the company scales.

Responsibilities

• 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.
• Ingest and transform complex structured industrial data, bridging the gap between how equipment is built and how it can be identified and serviced in the field.
• Build and oversee a mobile-first product experience, leveraging camera, LiDAR, and on-device sensors for AI-powered identification in the field.
• Partner with Product and Data Science to translate messy real-world industrial workflows into intelligent, automated systems.
• Drive best practices around security, CI/CD, observability, testing, and documentation.
• Establish the technical vision for AI-driven identification, predictive data enrichment, and closed-loop fulfillment execution.
• Manage and mentor distributed contributors (including nearshore/offshore teams) to build a high-performance engineering culture.
• Deliver quick MVP iterations while laying the foundation for enterprise scale.

Requirements

• A technical leader who thrives at the intersection of AI, data, and enterprise SaaS.
• Hands-on and detail-oriented, comfortable writing code, reviewing PRs, and guiding architecture.
• Fluent in agentic AI development - you've worked with AI coding tools and understand how to build and lead teams in this new world order.
• Skilled at integrating complex enterprise data systems (ERP, DMS, supply chain, pricing engines).
• Experienced building products that combine data infrastructure with applied machine learning and computer vision.
• 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.

Qualifications

• 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 patterns.
• Expertise in cloud architecture, CI/CD pipelines, observability, and distributed systems.
• Experience working with AI/ML platforms (e.g., predictive models, computer vision, optimization engines, LLM copilots).
• Experience overseeing or building mobile app products (iOS/Android); familiarity with on-device sensor capabilities (camera, LiDAR) is a strong plus.
• Experience working with ERP/CRM/DMS integrations - SAP experience is a plus.
• Experience leading or managing distributed teams (nearshore/offshore).
• Background in aftermarket, supply chain, manufacturing, or industrial systems (nice-to-have).

Skills

• Agentic AI Development
• Data Infrastructure
• Applied Machine Learning
• Computer Vision
• Enterprise Integration
• Mobile App Development
• ERP/CRM/DMS Integrations
• Cloud Architecture
• CI/CD Pipelines
• Observability
• Distributed Systems
• Security Practices
• Testing and Documentation

Benefits

• Full Ownership of Engineering Organization
• Meaningful Equity in High-Growth Startup
• Direct Collaboration with CEO with Deep Commercial Experience
• Collaboration with UP.Labs, Strategic OEM Partners, and Investors
• Remote-Friendly Work Environment

Pay

• Competitive Compensation Package

Schedule

• Full-Time