Enterprise Solutions Engineer - LATAM at Decagon

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Role Decagon is looking for a Solutions Engineer, a foundational technical hire who will help shape the future of our AI-powered solutions in the enterprise space. This role sits at the intersection of pre-sales engineering, product strategy, and enterprise architecture. You will serve as a technical advisor and trusted consultant to enterprise prospects and customers, driving value-based solutioning and integration of Decagon’s AI-native platform into complex customer ecosystems. Your background looks something like this - 4-6 years of customer facing experience in a sales engineering (pre-sales) role - Partner with Account Executives to discover and qualify solutions that lead to strong return on investment for your customer - Create and architect generative AI experiences for our customer’s end users - Develop custom demonstrations using the Decagon platform tailored to a customer’s specific needs and value - Communicate complex technical concepts clearly to diverse stakeholders, including C-level decision makers, business users, and engineering stakeholders - Strong interpersonal and teamwork skills - Functional understanding of GTM systems and workflows Even better if you have - 2+ years of AI sales engineering experience - Experience in a high-growth startup environment Benefits - Medical, dental, and vision benefits - Take what you need vacation policy - Daily lunches, dinners and snacks in the office to keep you at your best