Solutions Engineer - Remote

Siena AI • Austin, TX

5d • Remote

About The Position

This is a hands-on Solutions Engineer role — the second SE on a small, high-output GTM team. You will own the technical side of deals end to end: from first demo and integration scoping, through multi-week proof-of-concept trials, to the technical green light that lets a deal close. This is not a slide-deck pre-sales job. You’ll build and test integrations yourself, write and price statements of work, run live trials against real customer data, and be the credible technical voice in the room — solo or alongside an Account Executive. You’ll partner most closely with our AEs on commercial strategy, with Engineering and Product on feasibility and roadmap, and with our Deployment / CS team on pilot execution and handoff. While we've listed a few preferred locations, we're flexible as the role is remote. What matters most is your ability to overlap with EST hours and join us in NYC from time to time for in-person collaboration.

Requirements

• 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 — not supporting someone else’s.
• Hands-on technical ability. Genuine fluency with APIs, webhooks, and OAuth; comfortable reading API docs, testing in Postman, and judging integration feasibility. This role builds, not just specs.
• 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 shipping/tracking. 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.
• 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).

Nice To Haves

• Hands-on experience configuring, prompting, or selling LLM / AI agent products.
• Contact-center experience (Genesys, Dixa) for larger deals.
• Experience writing and pricing custom-integration SOWs, or a forward-deployed / implementation background.
• Familiarity with the rapidly evolving AI CX landscape
• Light front-end comfort (JS chat-widget embedding, A/B testing).

Responsibilities

• Technical pre-sales & demos: 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 workarounds when the standard product doesn’t fit.
• Maintain and refresh the demo environment and demo asset library (live demos, Looms, scenario flows) so the whole GTM team can sell accurately.
• Assist with RFPs and security questionnaires
• Proof-of-concept & trial ownership: Own multi-week POC / trial programs end to end: kickoff, integration connect, journey and automation buildout, weekly working sessions, QA, troubleshooting, and final readout.
• Define and drive to measurable success criteria (e.g., automation-rate and CSAT targets) using a phased, email-first-then-chat go-live methodology.
• Write clean technical handoffs so Deployment can carry the customer past go-live.
• Integration scoping & solution design: 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, validate OAuth and webhook flows in Postman against live or sandbox endpoints — before anything is committed to a customer.
• Draft, scope, and price Statements of Work for custom configuration and integration work, and translate feasibility into realistic effort and cost.
• Cross-functional & product feedback: Be the connective tissue across Sales, Engineering, Product, and CS — triaging customer issues, filing well-scoped 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed