Solutions Engineer

Role overview Help prospective customers answer a focused technical question: can this platform route, observe, budget, and govern their existing AI workloads without taking over their provider relationships. The role partners with platform, engineering, security, and finance stakeholders from initial discovery through production rollout, giving honest answers even when the platform is not the right fit.

Responsibilities - Run technical discovery sessions and tailored product demonstrations for prospective customers. - Scope and support evaluations, including connecting provider accounts, configuring routes, budgets, and keys, and moving real traffic. - Respond to security, architecture, and data-handling questions and complete security questionnaires alongside the internal security team. - Relay customer requirements back to product and engineering with enough detail to drive concrete changes. - Build reusable evaluation guides and reference architectures that shorten future customer onboarding.

Requirements - Three or more years as a solutions engineer, sales engineer, or customer-facing software engineer for a technical B2B product. - Hands-on familiarity with APIs, HTTP, and at least one of TypeScript or Python. - Working knowledge of LLM providers and the patterns production applications use to call them. - Excellent written and spoken communication with both engineers and non-technical buyers.

Nice to have - Experience selling API gateways, observability, cloud cost, or security products. - Familiarity with enterprise procurement and security review processes. - Experience with managed LLM platforms such as AWS Bedrock, Azure OpenAI, or Google Vertex AI.