Senior Sales Engineer

Responsibilities Serve as the primary technical partner between customers and the sales team, leading all technical aspects of the sales cycle for API and 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, technical depth, and customer engagement. Stay at the forefront of product advancements, 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 the technical feasibility of customer use cases across APIs, LLM systems, and integration environments. Design and deliver high-quality demos, prototypes, and proof-of-concepts (POCs) that reflect customer use cases and production scenarios. Ensure demos and POCs account for realistic production constraints, deployment considerations, and operational requirements. Guide customers on deployment best practices, including prompt design, latency optimization, cost management, and scalability strategies. Proactively identify and resolve technical blockers related to security, infrastructure, performance, and system integration. Translate complex technical concepts into clear and compelling narratives for both technical and executive audiences. Engage deeply with customer engineering, data, and product teams, establishing credibility as a trusted expert in AI and APIs. Act as a trusted technical advisor to customer engineering, architecture, and platform teams throughout evaluation and adoption phases. Facilitate alignment between commercial objectives (Sales) and technical feasibility (Product and Engineering) to accelerate adoption. Support strategic accounts and high-visibility opportunities where technical expertise is critical to success. Partner with multiple sales teams, including acquisition and account expansion teams, adapting support based on deal complexity and business priorities. Collaborate closely with Product and Engineering teams to resolve edge cases and influence product roadmap decisions based on customer feedback. Develop reusable technical assets, reference architectures, and best practices to scale the sales engineering function. Capture and communicate structured feedback from customer implementations to inform product enhancements and platform improvements. Qualifications Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience). 5+ years of experience as a Sales Engineer, Solutions Engineer, or in a senior customer-facing technical role. Strong background in APIs, distributed systems, and modern application architectures. Hands-on programming experience (e.g., Python, JavaScript) with the ability to independently build prototypes, integrations, and demonstrations. Deep familiarity with AI/ML concepts, with direct experience working with LLMs, NLP systems, or related technologies strongly preferred. Experience designing and delivering production-grade architectures on cloud platforms such as AWS, Azure, or GCP. Strong understanding of performance, scalability, and cost optimization considerations in consumption-based environments. Proven ability to engage, influence, and build trust with senior technical stakeholders, including architects and engineering leaders. Exceptional problem-solving skills, particularly in ambiguous and technically complex situations. Strong communication and presentation skills, with the ability to simplify highly technical concepts without sacrificing depth. Experience supporting complex, multi-stakeholder sales cycles in high-growth technology environments. Ability to manage multiple high-priority engagements simultaneously while maintaining a high standard of execution. Demonstrated ability to learn quickly, adapt rapidly, and lead effectively in a fast-evolving AI landscape. Strong collaboration skills with the ability to operate as a force multiplier across sales, product, and engineering teams. Professional presence with a high degree of technical credibility and the ability to establish lasting customer trust. Fluency in Kor…