Demo Experience Engineer, Technical Success

Responsibilities

• Own end-to-end demo readiness for new and priority product capabilities, including environments, integrations, synthetic data, evaluations, reliability checks, and fallback paths.
• Build compelling prototypes, LLM agents, and reference flows that make complex capabilities tangible and connect them to clear customer outcomes.
• Convert recurring needs into reusable accelerators—including companion apps, templates, LLM Skills and Plugins, and self-service demo packages—that scale across customer-facing teams.
• Work alongside GTM partners on high-impact customer moments, unblock critical technical gaps, and identify the patterns that should scale.
• Build always-on internal agentic systems that automate demo preparation, validation, and asset maintenance for the Demo Experience team.
• Translate recurring feedback into product insights, launch-readiness priorities, and systemic improvements with Product and Engineering.
• Define and raise the bar for demo quality across accuracy, safety, reliability, usability, and adoption.

Requirements

• Care deeply about creating exceptional demo experiences and helping customer-facing teams translate OpenAI’s product value into customer understanding, trust, and action.
• Are a product-minded engineer who can move from an ambiguous capability to working software and then harden it into a reliable, reusable system.
• Have a track record of building compelling demos, reusable technical assets, or tooling that accelerates adoption and improves execution.
• Understand when a customer needs a bespoke solution and when it should become a shared platform capability.
• Bring strong engineering depth across software architectures, integrations, data, LLM agents, skills, plugins, or other AI-powered systems.
• Thrive in rapidly evolving, ambiguous environments and influence effectively across Product, Engineering, Marketing, Operations, and GTM through curiosity, humility, and strong judgment.
• Maintain a strong commitment to AI safety, responsible deployment, and representing OpenAI’s products accurately and credibly.

Nice-to-Haves

• Experience building LLM agents, skills, plugins, or other AI-powered systems.