Salesforce Administrator, Federal

IonQ, Inc. [NYSE: IONQ] is the world’s leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ’s newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance.

Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before.

Location: This position can work onsite or hybrid from one of our offices in the US or fully remote.

We are looking for a Salesforce Administrator, Federal to join our Revenue Operations team. As a Salesforce Administrator, you will be part of a cross-functional team whose mission is to lead IonQ on its journey to build the world's best quantum computers to solve the world's most complex problems.

In this role, you will own the health, configuration, and compliance posture of IonQ's Salesforce Government Cloud environment supporting our federal business. You will provision and govern access, deliver enhancements, and keep the platform audit-ready against federal control frameworks. The ideal candidate is a hands-on administrator who is meticulous about access control and data integrity, comfortable operating in a regulated environment, and able to work independently in a fast-moving, resource-constrained