Solutions Engineer

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Logo of Siena AI

Siena AI

11 - 50 employees

🤖 Artificial Intelligence

🛍️ eCommerce

☁️ SaaS

Artificial Intelligence • eCommerce • SaaS

Siena AI is an advanced autonomous customer service platform designed for commerce, integrating human empathy with AI to enhance customer experience. By handling over 80% of daily customer interactions, Siena AI helps companies streamline support while maintaining a consistent, empathetic brand voice across multiple channels. Siena provides real-time, omnichannel management and leverages powerful AI models for cognitive reasoning and multilingual support, transforming customer service into a strategically automated, revenue-driving function. The platform supports various integrations, allowing seamless deployment across modern commerce tools and communication channels for improved customer satisfaction and engagement.

📋 Description

• Run demos built around the prospect's actual problems and data — across our Support, Shopping, Social, Reviews, and Voice agents and Siena Intelligence. • Lead live technical discovery and validation: map the prospect’s stack, answer “can it do X?” honestly, and propose solutions when the standard product doesn’t fit. • Maintain and refresh the demo environment and demo asset library (live demos, video assets, scenario flows) so the whole GTM team can sell accurately. • Assist with RFPs and security questionnaires • Own multi-week POC / trial programs end to end: kickoff, integration connect, journey and automation buildout, weekly working sessions, QA, troubleshooting, and final readout. • Write clean technical handoffs so Deployment can carry the customer past go-live. • Scope integrations across the e-commerce CX stack; decide native-vs-custom build and partner with Engineering on what gets built. • Build and test integrations yourself — write custom actions, test and validate in Postman against live or sandbox endpoints. • Draft, scope, and price Statements of Work for custom configuration and integration work, and translate feasibility into realistic effort and cost. • Be the connective tissue across Sales, Engineering, Product, and CS — triaging customer issues, filing well-scoped Linear tickets, and escalating to the right owner. • Act as the field-to-product feedback conduit: bring concrete product gaps and roadmap input into product reviews, grounded in real deals. • Support pricing conversations with the technical ROI and volume case (the AE owns commercial terms). • Contribute to internal enablement — training AEs and CSMs to demo, and building reusable enablement content.

🎯 Requirements

• 3–5+ years as a Solutions / Sales Engineer (pre-sales) in B2B SaaS, with a track record of personally owning demos and POCs • 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 • 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. • 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. • Comfort prioritizing across many simultaneous deals in a fast, small-team startup — and building your own process and leverage (including with AI tooling).

🏖️ Benefits

• Real ownership. You will own problems, not tasks, with the autonomy to solve them your way and the trust to do it without a manager in your inbox. • Work that ships and matters. What you build reaches real consumer brands fast. • A category we are creating. The Agent of Record is new ground, with unsolved problems and cutting-edge models, not a crowded field to compete in. • A team that respects your judgment. Globally distributed, async-first, low bureaucracy. We hire adults and treat you like one. • Great salary plus equity or stock grants. Own a piece of what you build. • Learning budget. If you are growing, so are we. • AI-fluency by default. Few places will push your work with production AI further or faster.

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