Founder-in-Residence, AI Native Ventures (LG NOVA)

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.

Founder-in-Residence, AI Ventures

• 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, distribution, and government relationships behind them.

• We are currently recruiting for our next Founder in Residence cohort, with the first 90-day validation sprint targeted to begin on October 12, 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 are domain agnostic, we are focused on AI-enabled software ventures with strong commercial potential

We are looking for candidates with deep, hands-on experience building at the core AI layer , rather than primarily developing applications that consume third-party AI models. Ideal candidates have directly worked on the underlying AI lifecycle, including model training or fine-tuning, evaluation, deployment, inference, optimization, and production-scale operation.

• 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. Candidates should understand model and data pipelines, compute and performance trade-offs, production reliability, and the economics of operating AI systems at scale.
• Strong preference will be given to candidates who have built reusable AI infrastructure, platforms, or developer tooling that can support multiple applications or enterprise customers, and who can translate deep technical capabilities into a differentiated, commercially viable B2B venture

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.

Please note: This is not an accelerator program. We are looking for candidates who want to build and validate a new venture from the ground up. If you already have an existing company or product that you are looking to advance through the program, this opportunity is not the right fit.

• Who we are looking for
• You are a domain operator with deep access to the buyers in your space. You have built or commercialized something real and have experience raising funding rounds. People in your industry take your call. Maybe you founded before, maybe you raised before, maybe you ran a business line that behaved like a startup. You move fast when the path is unclear, and you close.

• The profile we want
• Founder, repeat founder, or founding executive experience
• Deep expertise and credibility in a specific industry or problem space
• A live network of buyers and decision makers in your domain that you can leverage.
• A track record of building, commercializing, or scaling something new
• Comfort in ambiguity with a bias toward evidence and revenue
• A clear view on why AI makes your venture buildable now and not three years ago

• What LG NOVA offers
• You get resources most early founders would fight for.
• A concept testing budget so you can put real money behind proving demand
• A de-risking idea to commercialization budget up to 500K, setting you up for Seed round.
• Government partnerships in multiple U.S. States that open real doors to pilots, design partners, and first customers
• An LG backed fund that gives validated ventures a direct path to capital, so you are not starting your raise from zero
• Market research, market sizing, and financial modeling done alongside you, not billed back to you
• Engineering services to help you test and build
• A competitive stipend at market rates while you do the work
• Equity in the venture you just validated and commercialized if it progresses to the Seed round

You validate. We resource it.

• How the program runs
• The program runs in two sprints.

• - Sprint 1 is 90 days of validation . You define a specific high value problem, identify the economic buyer, test willingness to pay, and generate hard evidence that a venture should exist. The point is proof, not a product.
• - Sprint 2 is 180+ days of building toward venture formation. You move from evidence to commercialization, early customers, and the foundation of a company. If the venture earns it, you become Founder and CEO of a new business built with LG behind you.

• What you will do
• Develop and sharpen a venture thesis
• Run buyer discovery with the people who actually hold the budget
• Pin down the economic buyer, the budget owner, and how they buy
• Validate the pain, the workflow, and the real size of the demand
• Design and test a paid pilot, a design partner program, or an early offering
• Secure concrete evidence of willingness to pay, whether a paid pilot, a signed letter of intent with commercial terms, or a design partner agreement, from a named buyer
• Build the commercialization plan and the business model
• Bring back a recommendation grounded in what the market told you
• What success looks like by the end
• A clearly defined venture opportunity
• A validated customer and economic buyer
• Hard evidence of demand
• A credible path to revenue
• Signed design partners, pilots, or customer commitments
• A commercialization plan that scales
• Enough conviction that LG should invest and build

• The Details
• This is a contract, hybrid role based in Santa Clara, California.

• The Founder in Residence program is designed as two consecutive sprints. Compensation is annualized and paid during each sprint as follows:
• - Sprint 1 (90 days): Annualized compensation equivalent of $180,000–$200,000 , plus a dedicated concept testing budget.
• - Sprint 2 (180+ days): Annualized compensation equivalent of $200,000–$240,000 , contingent upon successful completion of Sprint 1 and selection to continue into the commercialization phase.

• We are selecting a very small, highly selective founding cohort for this round, so the bar is high and the opportunity is significant. The Founder-in-Residence engagement is structured as a paid contract role during the venture validation and development phase.
• If your venture is successfully spun out and you transition into the role of Founder & CEO, your executive compensation package—including salary, equity, and other compensation elements—will be negotiated separately as part of the new company's formation and financing.

NOTE: We are building software solutions only, so no hardware and nothing capital intensive upfront. Every venture in this cohort is AI-native. The industry is yours to pick. For this cohort we are not considering health or clean tech (other verticals at LG NOVA), so if that is your space, this is not the cohort for i