Founder-in-Residence, AI Ventures (Core AI)

Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations. Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions. Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment. Join us and become a part of a company that is shaping the future of technology. At LG, we strive to make Life Good for Everyone. LG NOVA, LG Electronics North America Innovation Center You are not applying for a job. You are here to found LG's next company. LG NOVA builds new ventures and spins them out as real businesses. We are looking for a small group of founders to validate and launch the next one, with LG's balance sheet and government relationships behind them. We are recruiting now for our next Founder in Residence cohort, with the first 90 day validation sprint targeted to begin on December 1, 2026. This is a founding seat, not an advisory one. If the venture proves out, you lead it as Founder and CEO. The mandate is open on purpose We are not handing you a problem to solve. The strongest ventures come from founders who already see something the market has missed, so we are domain agnostic by design. While we stay open on the domain, we are focused on AI enabled software ventures with strong commercial potential. We are looking for candidates with experience building, leading, or commercializing businesses at the core AI layer or adjacent products/tools, rather than mainly building applications using AI. The strongest candidates bring experience and a solid understanding of the AI lifecycle, including model training or fine tuning, evaluation, deployment, inference, optimization, and production scale operation. This experience may come from technical development, product leadership, or building and commercializing AI platforms and infrastructure businesses. Hands-on engineering experience is valuable but not required. Relevant areas of business may include: • AI Management, Development Platforms • Agentic Coding, Dev Automation • Agent Orchestration, Workflow Automation • AI Safety, Security, Compliance • Data Infrastructure, Data Generation, Curation Relevant experience may include model training infrastructure, inference and serving, model optimization, AI runtimes, agent infrastructure, orchestration, evaluation, observability, governance, data infrastructure, or AI native developer platforms. You should understand model and data pipelines, compute and performance trade offs, production reliability, and the economics of running AI systems at scale. Strong preference goes to candidates who have built, led, or commercialized reusable AI infrastructure, platforms, or developer tooling that many applications or enterprise customers can build on. We value founders who can translate technical capabilities into differentiated, commercially viable B2B ventures, supported by strong customer relationships and a track record of generating revenue. Bring the problem you have unfair insight into, the buyers you already know, and the conviction that it should exist as a company. Every venture in this cohort is AI native. We are building software only, so n