Sales Engineer

The Role

We're hiring a Sales Engineer to be the technical core of a GTM team that sells a complex, infrastructure level product to buyers who know exactly what they're evaluating. The buyers here are engineers, CTOs, and product leaders. Demos are technical. Evaluations go deep. You'll partner closely with Account Executives to move deals forward, owning the technical side of the sales process from discovery through proof-of-concept and close.

• Technical Discovery — Go deep with prospective customers on their architecture, workflows, and integration requirements.
• Solution Design — Build tailored approaches that map the platform's capabilities to specific customer challenges.
• Product Demonstrations — Lead technical demos and proof-of-concept engagements.
• Technical Evaluation Support — Guide customers through architecture reviews, security discussions, and implementation planning.
• Sales Partnership — Work side-by-side with AEs throughout the sales cycle.
• Customer Advocacy — Bring what you hear in evaluations back to product and engineering.
• Enablement & Documentation — Build demo environments, technical resources, and sales enablement materials.

• 3+ years in sales engineering, solutions engineering, or a similar customer-facing technical role
• Deep familiarity with APIs, integrations, cloud infrastructure, and modern software architecture
• Experience engaging directly with technical buyers — engineers, product leaders, IT stakeholders
• Strong presentation skills. You can hold a room of engineers and make them lean in
• Experience running technical evaluations and POCs through enterprise sales cycles
• A consultative instinct. You diagnose before you pitch
• Experience with developer tools, infrastructure software, AI products, or enterprise platforms is a strong plus

This venture backed AI infrastructure company is developing the connectivity layer that enables AI platforms and B2B software to take meaningful action within the systems businesses rely on. The founding team brings experience from Google, Meta, and AWS. The team is small, retention rates are exceptional, and the technical standards are high. This is an excellent opportunity for professionals who are excited about meaningful ownership and the chance to help shape the future of collaboration between businesses and AI.