Jobs at UP.Labs

Own monthly bookkeeping and close activities across UP.Labs and its portfolio companies. Manage accounting onboarding, financial reporting, reconciliations, tax filing calendars, audit readiness, and relationships with external auditors and tax advisors. Coordinate offshore accounting support, maintain consistent practices across multiple entities, and improve workflows using QuickBooks, Bill.com, Expensify, Ramp, and AI tools. Provide accounting judgment and hands-on execution in a fast-changing environment.

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.

The Sr AI/ML Engineer will design and deploy machine learning models, build computer vision systems, and develop LLM-based features in a collaborative, fast-paced environment.

Lead the design, build, and production deployment of agentic LLM systems that take real-world actions. Own agent architecture, retrieval/grounding, graph-backed knowledge, eval harnesses, observability, approvals/rollback, and team growth while partnering with applied science for embeddings and vector stores.

Design, build, and scale backend systems, ensuring reliable APIs and services while collaborating on cloud infrastructure and DevOps practices.

Design, build, and maintain production-grade data pipelines and models to power AI/ML workloads. Own pipeline reliability (orchestration, monitoring, incident response), collaborate with product and engineering to define requirements, optimize performance and cost, and document data models and runbooks.

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.

The Senior Fullstack Engineer will design, build, and maintain scalable web applications, optimize performance, and manage cloud infrastructure while collaborating with teams to deliver innovative digital products for startups.

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

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