Build and operate a repeatable security control baseline across multiple venture applications to ensure SOC 2 readiness. Translate enterprise customer security requirements into practical technical controls and operational workflows.
UP.Labs
15 Remote Job Openings at UP.Labs
The role involves reviewing email correspondence, invoices, and system outputs to ensure data accuracy and logical consistency. The analyst will identify inconsistencies and report reproducible issues to the engineering team to maintain financial data integrity.
Lead Software Engineer - Stealth AI Manufacturing Planning Startup
UP.Labs
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Full Time
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15 days ago
UP.Labs
Design and build the core backend infrastructure and optimization algorithms for an AI-driven manufacturing planning platform. Establish engineering standards and lead the technical team as the company scales from MVP to production.
Own full-cycle recruiting for technical and leadership roles across product, engineering, data, and design teams. Partner with hiring managers to define requirements and build high-quality talent pipelines in fast-paced venture environments.
Head of Engineering - Stealth AI Industrial Commerce Startup
UP.Labs
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Full Time
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a month ago
UP.Labs
Lead and grow the engineering team while architecting a core AI-powered identification and commerce platform for the industrial aftermarket. Own the technical vision, data infrastructure, and mobile-first product experience from MVP to enterprise scale.
Chief of Staff - Stealth AI Manufacturing Planning Startup
UP.Labs
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Full Time
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a month ago
UP.Labs
Build and oversee internal operational infrastructure, back-office functions, and KPIs for a stealth AI manufacturing startup. Act as the primary link between enterprise customers and the product team to drive adoption and inform the product roadmap.
Lead the data science, analytics, and data engineering efforts for venture start-ups, turning raw concepts into functional MVPs. Collaborate with product and engineering teams to design data pipelines and implement scalable AI/ML solutions.
Design, build, and scale backend services and APIs to power new venture products. Collaborate on cloud infrastructure and DevOps practices to ensure operational excellence and performance.
Build and deploy scalable machine learning systems and intelligent data platforms to support AI-enabled ventures. Develop predictive models, digital twins, and data pipelines while collaborating with cross-functional teams to solve operational problems.
Design, train, and deploy AI/ML systems focusing on computer vision and LLM-powered workflows for industrial applications. Translate ambiguous business problems into production-ready AI solutions and collaborate with cross-functional teams to ship MVPs.
The founding CEO will drive the strategy, operations, and execution of a new industrial AI startup, including P&L management and go-to-market efforts. They are responsible for building and leading a high-performing team while fostering deep partnerships with enterprise customers.
The CEO-in-Residence will drive strategy, operations, and execution while building a vertical AI startup from the ground up. They are responsible for recruiting a top-tier team, managing P&L, and securing enterprise partnerships to scale the business toward a successful exit.
You will own the top-of-funnel outbound engine by building and refining multi-channel outreach strategies to generate qualified discovery calls. Additionally, you will manage CRM hygiene and leverage AI tools to scale prospecting efforts while maintaining consistent pipeline metrics.
The role involves serving as the founding CEO, setting strategic direction, building the executive team, and taking full ownership of operational outcomes including P&L and Go-To-Market execution. Responsibilities also include translating complex industrial problems into software solutions and leading the company through growth and eventual exit.
The role involves serving as the founding CEO, responsible for setting strategic direction, building a top-tier team across engineering, product, and sales, and owning all outcomes including P&L and Go-to-Market execution. Key duties include translating complex logistics problems into world-class software and leading the company through growth and eventual exit.
