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Luma AI

Enterprise Account Executive

Reposted One Month Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Chicago, IL, USA
150K-163K Annually
Senior level
In-Office or Remote
Hiring Remotely in Chicago, IL, USA
150K-163K Annually
Senior level
You will own the entire sales cycle from prospecting to closing, helping large enterprises adopt Luma's AI technology while building the company's sales foundation.
The summary above was generated by AI
Where You Come In

Luma is hiring founding Enterprise Account Executives to help define our early go-to-market motion.

This is a traditional sales role. There is no mature pipeline, no legacy process, and no existing playbook to inherit. You will help define and allow the GTM team to build the foundation of how Luma sells.

As one of our founding AE's, you will own the entire sales cycle from first conversation to closed deal while giving feedback on the messaging, positioning, and sales motion for a category-defining AI platform.

You will work directly with large enterprise companies exploring how AI will transform how they create, design, and build. Your role is to help them understand what is possible with Luma and guide them through the process of bringing this technology into their workflows.

This role is designed for entrepreneurial sellers who want to build something meaningful and play a defining role in the growth of an elite AI company.

What You'll Do
  • Help build Luma’s early revenue engine by owning the full sales cycle from prospecting to close.
  • Generate pipeline through outbound prospecting, creative outreach, and strong relationship building.
  • Lead high-quality discovery conversations that uncover meaningful customer problems and opportunities.
  • Position Luma’s technology through clear storytelling and strong product understanding.
  • Guide customers through evaluation, internal alignment, procurement, and contract signature.
  • Manage complex sales cycles with multiple stakeholders across marketing and other parts of the organization.
  • Identify patterns from early deals that help shape Luma’s repeatable sales playbook.
  • Share customer insights with Product and Engineering to help shape the evolution of the platform.
  • Represent Luma with credibility, curiosity, and strong communication in every customer interaction.

Who You Are
  • 8+ years in a closing sales role with a consistent track record of exceeding quota.
  • Experience owning the full sales cycle including pipeline generation, discovery, and closing.
  • Comfortable building pipeline independently without relying heavily on SDR or BDR support.
  • Experience selling sponsorship media, advertising technology or creative technology is strongly preferred. We expect you to be an expert in the media, marketing and advertising spaces.
  • You bring a start-up mindset and enjoy building from first principles.
  • Strong discovery skills and the ability to translate complex technology into clear customer value.
  • Excellent communication and storytelling skills that resonate with both technical and executive audiences.
  • High ownership, strong internal drive, and the ability to thrive in fast-moving environments.


What Sets You Apart
  • Experience as an early or founding AE at a startup.
  • Success selling innovative or category-defining products.
  • A track record of building pipelines and closing deals in ambiguous, early-stage environments.
  • Curiosity about AI and emerging technologies and how they will transform creative and technical workflows.
  • A strong personal drive to help build a company and define a category.

Please note the compensation listed is total OTE on a 50/50 model base/OTE.

Compensation
The base pay range for this role is $150,000 – $162,500 per year.
About Luma

Luma’s mission is to build unified general intelligence that can generate, understand, and operate in the physical world.

We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable and useful systems, the next step function change will come from vision. So, we are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change.

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