Senior / Principal Demo Engineer

About the role

There's an enormous difference between building a Fin demo and deploying Fin in production. A Solutions Engineer can stand up an impressive AI agent demo in an afternoon. Making that demo reliably show what Fin actually does - across every channel, every persona, every vertical, in front of the world's most discerning buyers - is a different discipline entirely. That discipline is what we're hiring for.

Responsibilities

• Own the Fin demo platform end-to-end.
  • Multi-tenant mock workspaces, seeded data, configuration, reset infrastructure, and guardrails that make demos reliable, fast, and safe.
  • Create UI and workflows so SEs can spin up, reset, and tailor demo accounts in minutes - not hours.
  • Use AI to prepare demos. Use Fin itself (and other models) to research prospects, synthesize realistic org structures and conversations, and auto-configure demos for specific verticals and use cases.
  • Let SEs move faster. Build templates, libraries, and scripting hooks so SEs can compose complex demo scenarios with guardrails - not raw access to production.
  • Show Fin across every surface it touches. Web Messenger, mobile SDKs, voice, email, Slack, API-driven workflows.
  • The demo should match how customers will actually deploy.
• Partner with Enablement. Design hands-on training, demo libraries, and certification paths that ramp SEs and AEs faster than anywhere else in the industry.
• Stay one step ahead of the product roadmap. When a new Fin capability ships, the demo for it should already exist. This happens with strong collaboration with our product teams directly.
• Codify what works. Turn patterns from the field into tools, templates, and playbooks the whole GTM org can use.

Qualifications

• Must-haves:
  • 6+ years building software in a customer-facing technical role - Solutions Engineering, Developer Relations, Founding Engineer, or similar.
  • Hands-on AI/LLM product experience. You've built with LLMs, you understand RAG, tool use, agents, and evals, and you know the practical limits of current models.
  • Strong full-stack chops: TypeScript on the front end plus one strong backend language (Ruby, Go, or Python), and comfort working across web and mobile (iOS/Android or React Native).
  • Deep familiarity with SDKs, wrappers, and developer-facing APIs - you've both built them and integrated against them. RESTful APIs and SaaS integrations are second nature.
  • You've made yourself measurably more productive with Claude Code or equivalent agentic coding tools. You can show concrete examples of where AI doubled your output - and you'll teach the rest of the SE org to do the same.
  • Design sensibility. You care how the demo looks, not just what it does. You know that a demo that works but looks amateurish loses deals.
  • An eye for what makes a demo land - the difference between a feature walkthrough and a story that closes deals.
• Nice-to-haves:
  • Background in customer support, contact center, or CX tooling.
  • Experience building internal platforms or developer tooling at scale.
  • Experience designing or maintaining multi-tenant demo or sandbox environments, including synthetic or anonymised data.
  • Prior work that bridged engineering and revenue - lighthouse deals, founding-engineer scope, or solutions engineering platforms.