Siena AI
Solutions Engineer - Remote
Austin
Sponsorship not specifiedDetected 33 days ago
LLMsSalesZendeskPostmanShopifyResearch
About the role
- This is a hands-on Solutions Engineer role, the second SE on a small, high-output GTM team.
- What matters most is your ability to overlap with EST hours and join us in NYC from time to time for in-person collaboration.
Responsibilities
- Scope integrations across the e-commerce CX stack, decide native-vs-custom, and build and test them yourself (custom actions, validated in Postman against live or sandbox endpoints).
- Work in existing accounts alongside field deployment managers to scope new custom integrations and build new workflows as customer needs evolve.
- Draft, scope, and price Statements of Work, and support pricing with the technical ROI and volume case (the AE owns commercial terms).
- 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
- You'll own the technical side of the customer lifecycle: pre-sales demos and integration scoping through to post-sales custom builds and new workflows inside existing accounts.
- You'll build and maintain the demo environment and asset library that the whole GTM team relies on, and create demos and technical assets for internal teams and external workshops and lounges.
- The other half is staying in accounts after the deal closes, scoping new custom integrations and building new workflows alongside the field deployment managers who own the outcomes.
- 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.
- Build and maintain the demo environment and asset library (live demos, video assets, scenario flows) so the whole GTM team can sell accurately, and create demos and technical content for internal teams and external workshops and lounges.
- Run demos built around the prospect's actual problems and data, across our Support, Shopping, Social, Reviews, and Voice agents and Siena Intelligence.
Requirements
- 3-5+ years as a Solutions / Sales Engineer (pre-sales) in B2B SaaS, with a track record of personally owning demos and POCs
- 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.
- 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
Nice to have
- Train AEs and CSMs to demo, and assist with RFPs and security questionnaires.
- 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.
Skills
- Siena is the Agent of Record for consumer brands.
- One agent across every surface, with shared memory, shared context, and shared tools.
- Hundreds of brands already run real customer volume on Siena in production.
Compensation
- Great salary plus equity or stock grants.
Benefits
- Great salary plus equity or stock grants.
- Learning budget.
Company info
- We are a small, fully distributed, global team.
- We have built leverage into how we work, which is what lets a team this size move at the speed we do.
- We hire athletes.
- Everyone here owns real outcomes, defaults to writing over meetings, communicates with directness, and acts the moment they see something worth acting on.
- Low ego, high standards, fast clock.
- If you want to own real problems rather than close tickets, keep reading.
- A category we are creating.
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This listing is sourced directly from Siena AI's careers page and normalized into a canonical job model.