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Head of Engineering - Stealth AI Industrial Commerce Startup
Up Labs
WorldwideRemote3d ago
- Employment
- Full-time
- Seniority
- Lead
About the role
- 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 — 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.
- Design and ship robust integrations with OEM ERP and DMS systems to ingest inventory, pricing, and product data at scale.
- 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.
- 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.
- 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.
- 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.
- Familiarity 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).
- Build and lead the engineering organization for a high-growth AI startup from day one - full ownership, meaningful equity.
- Solve a genuinely hard problem in a market that has been ignored by technology - the opportunity to be first matters here.
- Work directly with a CEO with deep commercial experience in the space who wants a technical co-founder-level partner - not someone behind the glass.
- Collaborate with UP.Labs, strategic OEM partners, and investors to drive real impact in a $20–30B+ market.
- Earn meaningful equity in a company positioned to transform how OEMs and distributors generate and protect revenue.
- Remote-friendly. We care about output, not location.
- Risk: We reward our entire team and ecosystem of partners with meaningful equity.
- Technology: We build and launch scalable technology products that form the basis for each venture.
- Industry Focus: We stay focused on the underlying fabric of retail mobility.
Perks & benefits
- Distributed Team
- Equity Compensation
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