Demo Experience Engineer, Technical Success
San Francisco • FullTime
Posted 7h ago
Job Location
San Francisco
Tech Stack
Remote Work Policy
On-site
Employment Type
FullTime
Categories
Applied AI Engineer
About the job
Demo Experience Engineers work at the intersection of product engineering, technical storytelling, and go-to-market execution. You will own ambiguous, high-leverage problems end-to-end, from building agentic prototypes to creating the infrastructure and self-service tools that make them reliable and reusable. Your work will help customer-facing teams move faster, reduce avoidable failures, and translate frontier product capabilities into clear customer value. You will also turn recurring patterns from customer-facing work into product feedback, launch-readiness improvements, and scalable systems. Success in this role means teams can demonstrate new capabilities sooner and with greater confidence, recurring requests become reusable capabilities instead of one-off work, and demo experiences are accurate, reliable, and safe.
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 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.
- Be 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.
Benefits
- Relocation assistance to new employees.