About LG NOVA

LG NOVA, LG’s North America Innovation Center, is the company’s venture incubation arm based in Silicon Valley. Our mandate is to identify transformative growth opportunities and launch new ventures that shape the future of LG. We partner with startups, enterprises, and public institutions to co-create the next generation of impactful businesses.

We’re seeking an experienced Entrepreneur-in-Residence to lead the incubation of a new AI native venture within LG NOVA in underexplored or high-friction domains outside Health and Cleantech. This is a founder-track role focused on developing, validating, and launching a scalable business—culminating in a spin-out backed by our internal venture fund. 

Founding CEO

We are looking for a founding CEO to build a category-defining company at the intersection of AI, enterprise software, and business performance.

This is a true day-zero role. You will define the product thesis, secure the first cohort of design partners, hire the founding team, raise the seed round, and build the commercial and technical foundation for the business.

The right person operates comfortably across product, go-to-market, and company building. You understand how enterprises adopt new technologies, how to navigate complex buying processes, and how to translate emerging technical capabilities into clear business value.

You are equally credible with technical and business stakeholders.

What You’ll Do

• Define the company strategy and category position
  Establish a clear point of view on the problem space and position the company as a category leader
• Own the end-to-end build of the business
  From first principles through early traction, including product direction, GTM, and initial revenue
• Secure early design partners and customers
  Build conviction through real-world deployments and translate learnings into product direction
• Develop and execute a focused go-to-market strategy
  Combine founder-led sales, partnerships, and scalable channels to drive early adoption
• Guide product evolution from early solution to scalable platform
  Balance speed, customer needs, and long-term differentiation
• Raise external capital and manage investor relationships
  Lead fundraising efforts and communicate a compelling, evidence-backed narrative
• Build and lead a high-performing founding team
  Attract top talent and establish a strong execution culture from the outset
• Drive core business fundamentals
  Focus on early revenue, customer retention, and scalable unit economics

What You’ll Bring

• Proven builder mindset
  Experience operating in zero‑to‑one or highly ambiguous environments, ideally taking AI‑native products from concept through early market validation.
• AI‑native product and business leadership
  Demonstrated experience building AI‑first products, including shaping product vision, business models, and defensible differentiation rooted in AI capabilities rather than incremental feature layers.
• Strong technical foundation in AI systems
  Technical expertise with modern AI tools and platforms, including applied AI/ML, cloud infrastructure, and integration of software and (where relevant) hardware systems. Comfortable engaging deeply with engineers, architects, and technical customers to guide technical direction.
• Product + commercial instincts
  Ability to translate complex AI and technical concepts into clear customer value propositions, enterprise‑ready solutions, and scalable revenue opportunities.
• Enterprise AI go‑to‑market experience
  Understanding of how AI solutions are evaluated, piloted, purchased, and scaled within enterprise environments, including navigating longer sales cycles, security/compliance considerations, and stakeholder alignment.
• Track record of early‑stage traction
  Demonstrated ability to find product‑market fit for technically complex products and build a repeatable sales or partnership motion.
• Ecosystem credibility and network
  A strong network across AI stakeholders—such as technical talent, enterprise buyers, partners, and potential design customers—with the ability to activate those relationships to accelerate early traction.
• Entrepreneurial drive
  Bias toward action, resilience, and comfort with high‑variance outcomes inherent in building an AI venture from day zero.
• Team‑building capability
  Experience hiring and leading early founding teams, including senior technical talent, and establishing a strong execution culture from inception.

Why This Opportunity

• Category creation
  Opportunity to define and lead a new category from inception
• Large and growing market tailwinds
  Strong underlying demand driven by enterprise technology adoption
• Studio-backed execution
  Access to LG NOVA’s venture studio resources, ecosystem, and strategic support
• Platform potential
  Path to build a foundational system with long-term defensibility

Location: this opportunity is located at our office in Santa Clara, CA and is a hybrid position.

Please Note: this is a contract position with LG. Any health benefits offered would be through the agency this contractor is hired through.

#LI-JH1 #LI-Hybrid

New Venture Advisor

Agentic AI Systems  |  Part-Time / Hourly

LG Nova is seeking a part-time New Venture Advisor with deep expertise in agentic AI systems to support the creation and validation of new venture opportunities. The role focuses on AI agent architectures, multi-agent coordination protocols, and the emerging infrastructure layer enabling autonomous systems to interact with services and APIs.

The advisor will provide strategic guidance on technical architecture, protocol selection, and commercialization strategy based on hands-on experience building or advising AI products that involve agent-to-agent communication, tool use, and real-world integrations. Familiarity with Model Context Protocol (MCP), Agent-to-Agent Protocol (A2A), Agent Communication Protocol (ACP), and related standards is highly valued. A strong personal and professional network in the agentic ecosystem is valued.

This is a flexible, hourly advisory role supporting venture development milestones, with the option to become more directly involved in venture leadership as opportunities evolve.

Experience we would like you to have:

• Strong hands-on experience building or advising AI products that involve agent-to-agent communication, tool use, and real-world integrations.
• Familiarity with Model Context Protocol (MCP), Agent-to-Agent Protocol (A2A), Agent Communication Protocol (ACP), and related standards is highly valued.
• A strong personal and professional network in the agentic ecosystem is valued.

Location: the team is located in the SF Bay Area but this position can be REMOTE located anywhere in the US.

Contract Rate of Pay: this is a part-time contract position. Depending on the experience and location of the candidate we are estimating an hourly pay rate between $150-$250/hour

#LI-JH1  #LI-REMOTE

What we can offer: 

A crafted employee experience designed to foster professional growth, a focus on health & well-being and an internal community that will set you up for success. 

We offer an environment that enables colleagues to demonstrate their capabilities, focus on their work and create value.  At LG, you're encouraged to take a creative and individual approach to challenges with strong emphasis placed on performance and skill—and equal, merit-based opportunities across the board.  We want our colleagues to grow with our global business.  That's why we deliver sure rewards for exceptional performance and offer industry-leading benefits.  Come join the team! 

The Opportunity:

As a global leader, we strive for greatness not only in the products we make but in our people. That is why we are currently seeking the newest innovator with experience in Display Picture Quality Engineering to join our team as a Color Scientist located in Santa Clara, California. This is an onsite position.

· Conduct research on human vision and its interaction with display devices.

· Collaborate with partners on advanced vision and display research:

· Participate in industry / standards organizations

· Lead Picture Quality (PQ) R&D for advanced display technologies.

· Apply expertise in color science and visual perception to optimize video display systems.

· Measurement and evaluation of picture quality in various displays and identifying improvement opportunities.

· Utilize scripting and advanced programming languages for PQ algorithms and analysis.

· Conduct display metrology and performance evaluations using industry tools.

Qualifications:

· Bachelor’s degree in science or engineering with minimum 8 years related experience, OR Graduate degree in Science or Engineering with minimum 6 years of experience.

· Proven experience and understanding of color science and visual perception of images and color as it pertains to video display systems.

· Experience in Picture Quality-related R&D and authoring peer-reviewed technical publications

· Sound interpersonal skills with ability to articulate details for fact-based and intuitive decision making.