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

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 1, 2027.

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

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.

NOTE: We are building software solutions only, so no hardware, no robotics, 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 it.

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 buil