At a glance
Build agentic prototypes, demos, and reusable internal systems that make OpenAI’s frontier capabilities reliable, compelling, and scalable for customer-facing teams.
Summarized by AI from the original posting
What you'll do
- Own end-to-end demo readiness for new and priority product capabilities
- Build prototypes, LLM agents, and reference flows
- Create reusable accelerators, companion apps, templates, skills, plugins, and self-service demo packages
- Partner with GTM teams on high-impact customer moments
- Build internal agentic systems to automate demo preparation, validation, and asset maintenance
- Translate customer feedback into product insights and launch-readiness improvements
- Define quality standards for accuracy, safety, reliability, usability, and adoption
Requirements
- 01Product-minded engineering approach
- 02Track record of building compelling demos, reusable technical assets, or tooling
- 03Strong engineering depth across software architectures, integrations, data, LLM agents, skills, plugins, or other AI-powered systems
- 04Ability to work in ambiguous, rapidly evolving environments
- 05Strong cross-functional influence and judgment
- 06Commitment to AI safety and responsible deployment
Perks
Skills
Full description
About The Team
Our mission is to bring OpenAI products to life for every customer. Demo Experience equips customer-facing teams with the experiences, systems, and confidence to make frontier capabilities tangible, relevant, and trustworthy.
OpenAI’s products and customer needs are evolving rapidly. Demo Experience closes the gap between a frontier capability and a credible customer experience—making new capabilities understandable, demonstrable, and reusable quickly at scale.
Working across Product, Engineering, Marketing, Operations, and GTM, we turn recurring customer needs into reusable capabilities and raise the standard for every customer conversation.
About The Role
Demo Experience Engineers work at the intersection of product engineering, technical storytelling, and GTM 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. Demo experiences are accurate, reliable, and safe. Insights from customer-facing work improve product and readiness decisions.
This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In This Role, You Will
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.
You’ll Thrive In This Role If You
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.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Compensation: $234K - $260K