Solutions Engineer

This is a fully remote position, open to applicants in Texas.

📋 Description

• Conduct demonstrations tailored to the specific challenges and data of the prospect, encompassing our Support, Shopping, Social, Reviews, and Voice agents as well as Siena Intelligence.

• Facilitate live technical discovery and validation sessions: analyze the prospect’s technology stack, provide honest answers to “can it do X?”, and suggest solutions when the standard product does not meet their needs.

• Oversee and update the demo environment and asset library (including live demos, video materials, and scenario flows) to ensure the entire GTM team can sell effectively.

• Assist in the preparation of RFPs and security questionnaires.

• Manage comprehensive multi-week POC/trial programs from start to finish: initiation, integration connection, journey and automation development, weekly working sessions, quality assurance, troubleshooting, and final reporting.

• Produce clear technical handoffs to enable the Deployment team to guide the customer post-go-live.

• Define the scope of integrations within the e-commerce customer experience stack; make decisions regarding native versus custom builds, collaborating with Engineering on development priorities.

• Develop and test integrations personally — create custom actions, and validate them in Postman against live or sandbox endpoints.

• Prepare, define, and estimate Statements of Work for custom configuration and integration projects, translating feasibility into realistic efforts and costs.

• Serve as the crucial link among Sales, Engineering, Product, and Customer Success — managing customer issues, logging well-defined Linear tickets, and escalating to the appropriate stakeholders.

• Function as the feedback conduit from the field to product development: present tangible product gaps and roadmap suggestions during product reviews, grounded in actual deals.

• Assist in pricing discussions with a focus on the technical ROI and volume analysis (the Account Executive manages commercial terms).

• Contribute to internal training efforts — instructing AEs and CSMs on demonstrations and creating reusable training materials.

⛳️ Requirements

• 3–5+ years of experience as a Solutions/Sales Engineer (pre-sales) in B2B SaaS, with a proven track record of managing demos and POCs independently.

• Proficiency with APIs, webhooks, and authentication methods; comfortable interpreting API documentation, testing in Postman, and assessing integration viability. You should be capable of executing builds.

• Familiarity with the ecosystem: Shopify and helpdesk solutions (such as Gorgias, Zendesk, Kustomer, Dixa, or equivalents), as well as related tools for returns, subscriptions, reviews, loyalty, and post-purchase processes. Broad knowledge across the stack is more valuable than deep expertise in a single tool.

• A unique ability to convey AI and technical concepts clearly to non-technical customer experience or commerce leaders, as well as to compose concise Statements of Work, RFP responses, and technical handoffs.

• Ability to prioritize multiple simultaneous deals in a fast-paced startup environment — and to establish your own processes and leverage (including utilizing AI tools).

🏝️ Benefits

• Genuine ownership. You will tackle problems, not just tasks, with the flexibility to resolve them in your own way and the confidence to do so without constant managerial oversight.

• Meaningful work that delivers results. Your contributions will quickly impact real consumer brands.

• A groundbreaking category. The Agent of Record is an innovative space, presenting unsolved challenges and cutting-edge models, rather than entering a saturated market.

• A team that values your expertise. We are globally distributed, prioritize asynchronous communication, and operate with minimal bureaucracy. We hire responsible individuals and treat you as such.

• Competitive salary along with equity or stock grants. Have a stake in what you create.

• Learning budget. Your growth is our growth.

• AI fluency as a standard. Few environments will advance your work with production AI as quickly or extensively.