Senior Solutions Engineer

5 days ago

London, Greater London, United Kingdom Decagon Full time £80,000 - £120,000 per year

About Decagon

Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.

Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.

We're an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner's mindset, and stronger together—shape how we work and grow as a team.

About the Role:

Decagon is looking for a Senior 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.

You may be a good fit if you:

  • 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:

  • 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

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