Customer Engineer

Role overview Guide prospective enterprise customers through the technical side of evaluating and adopting an AI infrastructure platform. Working alongside account executives, you will uncover customer needs, assess technical fit, shape solutions, and demonstrate how the platform could support their AI workloads. The role also brings customer insights back to product and engineering teams.

Responsibilities - Lead discovery conversations to understand prospects’ AI and machine learning architectures, use cases, and requirements. - Evaluate integration needs, model requirements, data residency, and compliance considerations. - Design and deliver tailored product demonstrations, and set up proof-of-concept environments. - Partner with sales teammates throughout the sales cycle, from initial discovery to close. - Answer proposals and technical questions, present to customer and executive audiences, and address technical objections. - Advise on technical contract terms, service levels, and implementation timelines, while sharing customer feedback with product and engineering teams.

Requirements - Five or more years in a sales engineering, customer engineering, solutions engineering, or solutions architecture role serving B2B SaaS, API, or infrastructure customers. - Hands-on technical background in software development, APIs, or cloud infrastructure. - Strong presentation skills and the ability to explain technical ideas to varied audiences. - Sound problem-solving skills and the ability to design solutions under pressure. - A customer-focused approach and a genuine interest in helping customers succeed.

Nice to have - Sales engineering experience with AI, machine learning, or large language model products.