Solutions Engineer

Join our high-output GTM team as a Solutions Engineer. In this hands-on role, you will own the technical side of deals from demo to integration scoping, proof-of-concept trials, and deal closure. You will build and test integrations, write and price statements of work, run live trials, and be the technical voice in the room. You will collaborate closely with AEs, Engineering, Product, and Deployment/CS teams.

• Technical pre-sales and demos, running demos built around the prospect's actual problems and data.
• Owning multi-week proof-of-concept/trial programs end to end, including kickoff, integration connect, journey and automation buildout.
• Scoping integrations across the e-commerce CX stack, deciding native-vs-custom build, and partnering with Engineering on what gets built.
• Self-direction. Comfort prioritizing across many simultaneous deals in a fast, small-team startup — and building your own process and leverage (including with AI tooling)
• Hands-on technical ability. Fluency with APIs, webhooks, and authentication methods; comfortable reading API docs, testing in Postman, and judging integration feasibility. You’ll need to be able to build
• E-commerce CX stack breadth. Working knowledge of the ecosystem: Shopify plus helpdesks (Gorgias, Zendesk, Kustomer, Dixa, or similar), and adjacent tools for returns, subscriptions, reviews, loyalty, and post-purchase. Breadth across the stack matters more than depth in one tool
• Clear communication. The rare ability to explain AI and technical concepts clearly to a non-technical CX or commerce leader, and to write tight SOWs, RFP responses, and handoffs
• Pre-sales experience. 3–5+ years as a Solutions / Sales Engineer (pre-sales) in B2B SaaS, with a track record of personally owning demos and POCs
• Hands-on experience configuring, prompting, or selling LLM / AI agent products
• Experience working with contact-center technology
• Experience writing and pricing custom-integration SOWs, or a forward-deployed / implementation background
• Familiarity with the rapidly evolving AI CX landscape