Professional I, Sales Engineer (Korean Speaker)

Responsibilities

Serve as the primary technical partner between customers and the sales team, leading all technical aspects of the sales cycle for API/LLM opportunities, ensuring successful customer adoption of the platform.

Lead advanced technical discovery to uncover architectural requirements, constraints, and integration patterns.

Act as a technical leader within the team, setting a high bar for solution quality, depth, and customer engagement.

Stay at the forefront of advancements of the product, continuously incorporating new capabilities into solution design and customer conversations.

Ensure alignment between customer technical requirements, platform capabilities, and scalable implementation approaches throughout the sales cycle.

Own solution architecture for complex customer use cases, designing scalable, production-ready implementations of LLM capabilities.

Validate technical feasibility of customer use cases across APIs, LLM systems, and integration environments.

Design and deliver high-quality demos, prototypes, and proof-of-concepts that directly reflect customer use cases and production scenarios.

Ensure demos and POCs reflect realistic production constraints and deployment scenarios.

Guide customers on best practices for deployment, including prompt design, latency optimization, cost control, and scaling strategies.

Proactively identify and resolve technical blockers across security, infrastructure, performance, and integration.

Translate complex technical concepts into clear, compelling narratives for both technical and executive audiences.

Engage deeply with customer technical teams (e.g., engineering, data, product), building credibility as a trusted expert in AI and APIs.

Act as a trusted technical advisor to customer engineering, architecture, and platform teams throughout the evaluation and adoption process.

Support alignment between internal commercial strategy (Sales) and technical feasibility (Product Engineering) to unblock adoption.

Support strategic accounts and high-visibility deals where technical credibility is critical to success.

Partner across multiple sellers (API acquisition and account expansion), flexing support based on deal complexity and business priority.

Collaborate closely with product and engineering teams to resolve edge cases and influence roadmap based on customer needs.

Develop reusable technical assets, reference architectures, and best practices to scale the sales engineering function.

Surface structured feedback from customer implementations to inform product direction and platform improvements.