Business Builder & Ecosystem

Kimi (Moonshot AI); San Francisco (CA); Sur place; USD 120 000 - 190 000; Plein temps

Résumé du poste

Kimi (Moonshot AI) in San Francisco is seeking a commercially minded AI-native professional to translate breakthrough technology into revenue. You will shape commercialization models, drive deals from enterprise contracts to ecosystem partnerships, and help define the playbook for AI products.

You should be skilled in buyer psychology, deal structuring, and building scalable revenue streams. If you have a track record of turning early wins into durable growth, we want to talk.

Qualifications

• AI-native mindset and commercial instincts
• Ability to craft and validate monetization models
• Experience in deal-making and partnerships

Responsabilités

• Formulate and validate commercialization models; drive deals from enterprise contracts to ecosystem partnerships.
• Draft solid proposals, write technical content, and structure bespoke deals to convert wins into scalable momentum.
• Translate early wins into scalable revenue, strategic partnerships, and market presence.

Description du poste

AI is reshaping business foundations, but sustainable monetization remains an open challenge. We are not looking for standard answers, but rather for individuals with deep AI literacy and sharp commercial instincts to translate breakthrough tech into revenue, pipeline, and validated growth.

What you'll do

• Explore every path: Formulate and validate commercialization models. Drive deals ranging from enterprise contracts to joint ecosystem plays, positioning us ahead of market consensus.
• Build a hybrid skill set: Master both technical depth and commercial agility. Flex easily between drafting solid proposals, writing technical content, and structuring bespoke deals—turning single wins into team playbooks.
• Close the loop and scale: Translate early wins into scalable revenue, strategic partnerships, and market presence. Deliver measurable results, not just process.

Who you can be

We welcome people from all paths:

• Sales or BD. You understand buyer psychology, negotiation, and long-term relationships, and want to apply your playbook to a new frontier.
• VC, PE, or IR. You have investment acumen, are skilled in deal structuring and industry analysis — use capital thinking to plan business strategies.
• Consulting. You structure hard problems, learn fast, and hold your own with executives — now you want to turn analysis into outcomes.
• Product or Ops. You are data-driven with strong user intuition, approaching commercialization like product design.
• Engineering or R&D. You have technical credibility, empathy for developers, and a feel for what's next — for you, selling is a technical conversation.
• Founder or early-stage operator. You've built from scratch, optimized resources, and driven outcomes with an ownership mindset.
• Anything else. If you have AI-native instincts and the grit to make things pay, your background is just a label.

What we expect

• AI native. You use AI, think in AI, and believe it's rewiring everything — not "I follow the industry," but "I'm living it."
• Business sense. You can smell an opportunity, know when to push a deal and when to wait for the right timinggive it room, and design structures where both sides win.
• Results-oriented. You turn exploration into numbers, own your revenue target, and let data prove the path.
• Highly driven and exceptional. A stellar track record gets you in the door, but what really counts is your grit to pioneer true commercial applications for AI—this is about building real, scalable value, not just hawking APIs or jumping on the next hype wave.

If you believe the playbook for AI commercialization is still being written—and you want to help write it—let's talk. Before reaching out, do your homework: understand where AI products meet the broader tech stack, have a clear view on your target customers, and be ready to tell us where you'd make your first move. We're looking for a sharp, well-prepared conversation—not a generic "I'm excited about AI."