Enterprise Account Executive – AI Video (LTX-2)| New York (3 days in-office) | OTE $240,000–$300,000 (uncapped) at Lightricks

Lightricks is an AI-first company with over a decade of research in AI/ML — creators of Facetune, used by hundreds of millions globally. At the center of our next chapter is LTX-2, our open-source generative video model built to deliver expressive, high-fidelity video at unmatched speed. LTX-2 powers enterprise customers and a growing partner ecosystem through API integration and model licensing. We're now scaling the enterprise sales motion to match the momentum of our technology — and this is the role that builds it. About the Role Generative video is one of the fastest-moving categories in tech. Studios, media companies, and enterprise creative teams are actively figuring out how to integrate it — and LTX-2 is one of the strongest models in the space. You'll be the person who brings it to them. That means closing complex, high-value enterprise deals with CTOs, ML engineers, and creative technology leaders. The core of what you'll sell is model access and API licensing: technically differentiated, genuinely new, in a category where buyers are still forming opinions. The conversations are interesting. The wins matter. If you're someone who wants to build rather than inherit a playbook, who's genuinely curious about where AI is going, and who wants to look back in three years knowing you helped shape something real — this is the role. What you will be doing: • Own the full sales cycle from first conversation through close, with a focus on model/API licensing and enterprise agreements • Build pipeline through inbound follow-up and targeted outbound into studios, media companies, ad agencies, and enterprise technology teams • Run complex, multi-stakeholder sales cycles across engineering, product, creative, and procurement • Develop and execute account strategies to drive revenue and expansion • Contribute directly to sales messaging, process, and GTM strategy as we scale • Partner with Product and Engineering to bring customer insights into the roadmap Your skills and experience: • 4+ years of closing experience in technical enterprise sales • Demonstrated experience selling developer-facing products — APIs, ML tooling, AI infrastructure, or similar • Track record of closing complex, multi-stakeholder enterprise deals • Ability to engage credibly with technical buyers: engineers, CTOs, ML teams • Strong business acumen — you can translate technical capability into business outcomes • Comfortable operating independently and building process in ambiguity • Willingness to travel as needed Preferred Qualifications • Experience selling into creative, media, or studio environments • Familiarity with generative AI, video production, or open-source ecosystems Benefits: • OTE: $240,000–$300,000 (uncapped commission) • Base Salary: $120,000–$150,000 • Stock options. • Health/dental/vision with the majority of premiums paid by the company. • 401k with company match. (Up to 4%) • $3,000 per year is provided for lunch. • $1,000 Yearly Learning, Development, and Wellness budget. • Work from home stipend. • 21 Days of PTO. • Birthdays off! Take a free day off during your birthday month to celebrate. • Talented teammates and a strong work culture supporting a healthy work-life balance. Why join us: • A product worth selling. LTX-2 is open-source, continuously released, and technically leading. You're not pitching another wrapped GPT or rebranded SaaS — buyers notice the difference, and so will you. • Best of both worlds. Profitable, globally scaled, 10+ years in AI/ML — you get the resources and stability of an established company, and the speed, ownership, and upside of building something new. • No two deals look the same. You'll sell across studios, enterprise tech teams, media companies, and ad agencies — different buyers, different use cases, real complexity. Built for people who get bored maintaining. • Real pipeline from day one. Inbound demand plus BDR support means you're not starting from zero. • A team that works together. We're in the NYC office 3 days a week — close to leadership, product, and engineering. If you want direct access to decision-making and real-time deal support, it's there.