Jobs at UP.Labs

The Chief Commercial Officer will lead commercial partnerships, drive revenue growth, design sales systems, and mentor sales teams while engaging Fortune 500 companies.

Lead engineering teams to create and deliver innovative software solutions, focusing on AI integration and technical feasibility, while mentoring staff and building startups.

Manage end-to-end execution of high-touch events, including logistics, vendor management, and guest communication, for executive audiences at UP.Labs.

Lead the data science function for a freight pricing venture: develop and deploy ML models for dynamic pricing, demand forecasting, elasticity, and load acceptance; design pricing experiments; partner with engineering to productionize and monitor models; validate business assumptions and set model governance; translate insights to product, commercial, and executive stakeholders.

Lead AI enablement and portfolio governance across UP.Labs companies: build reusable AI tools and workflows, support CEOs with operations and GTM, track company health via dashboards and reporting, and cultivate VC and operator relationships to drive capital, customers, and strategic support.

Fractional, hands-on revenue leader for a portfolio of AI software ventures. Set up GTM strategies, land first enterprise customers, mentor early sales hires, build repeatable sales infrastructure and playbooks, support pricing and deal execution, and maintain a warm enterprise pipeline across portfolio companies.

Lead end-to-end deployments of AI for hotel revenue teams: integrate PMS/CRS/RMS, ship ML/optimization models and agentic workflows, validate recommendations with revenue managers, define metrics, drive adoption, and hire/mentor the forward deployed engineering team.

Lead and build the engineering organization for an AI-driven industrial commerce platform. Own architecture, data pipelines, ML and computer vision integrations, mobile sensor-enabled identification, enterprise system integrations (ERP/DMS), cloud infrastructure, CI/CD, and observability. Hire and mentor distributed teams, deliver rapid MVPs, and establish a scalable technical vision for identification, predictive enrichment, and commerce execution.

The Founding Engineer will develop full-stack applications, shape product direction, and work in ambiguous environments from concept to validation.

Lead backend architecture and system design for an AI-driven manufacturing planning platform. Build and scale a Node.js/Python stack with Azure Databricks, implement optimization and scheduling algorithms, establish engineering patterns, and mentor/lead a small early-stage engineering team while collaborating with product and data functions.

Lead Data Science initiatives, build AI/ML solutions, and mentor teams in a collaborative environment, driving innovation in a leading construction equipment venture.

Part-time QA Analyst reviews emails, invoices, confirmations, and system outputs to verify financial and operational data accuracy. Identify inconsistencies, duplicates, and mapping errors, flag anomalies, and report reproducible issues with context to engineering to maintain data integrity and reliable financial outputs.