Up Labs

Head of Engineering - Stealth AI Industrial Commerce Startup

USA

Sponsorship not specified$20k-$30kDetected 34 days ago

iOSAndroidFull-Stack DevelopmentCI/CDMachine LearningData EngineeringData ScienceComputer VisionLLMsAgentic AICRMSAPSupply ChainERPSensors

About the role

The core problem: the journey from how industrial equipment is manufactured to how it gets serviced in the field is fundamentally broken.
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.

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.
Lead and grow the engineering team, balancing hands-on development with strategic leadership.
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.
Manage and mentor distributed contributors (including nearshore/offshore teams) to build a high-performance engineering culture.

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 patterns.
Expertise in cloud architecture, CI/CD pipelines, observability, and distributed systems.
Experience leading or managing distributed teams (nearshore/offshore).

familiarity with on-device sensor capabilities (camera, LiDAR) is a strong plus.
Familiarity with ERP/CRM/DMS integrations - SAP experience is a plus.

Build and lead the engineering organization for a high-growth AI startup from day one - full ownership, meaningful equity.
Earn meaningful equity in a company positioned to transform how OEMs and distributors generate and protect revenue.
Our platform is unique in three ways: Risk: We reward our entire team and ecosystem of partners with meaningful equity.
Experience working with AI/ML platforms (e.g., predictive models, computer vision, optimization engines, LLM copilots).

This listing is sourced directly from Up Labs's careers page and normalized into a canonical job model.