Senior Quantum Sales Executive - US Enterprise, HPC, AI & Neocloud Infrastructure
Confirmed live in the last 24 hours
IonQ
Compensation
$169,869 - $242,612/year
Job Description
About IonQ:
IonQ, Inc. [NYSE: IONQ] is the world’s leading quantum company delivering solutions to solve the world’s most complex problems. IonQ’s newest generation quantum computers, IonQ Tempo and IonQ Forte Enterprise, are the latest in cutting-edge systems that have been helping customers and partners such as Amazon Web Services, AstraZeneca, and NVIDIA achieve 20x performance results. The company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance in 2025.
The company is accelerating its technology roadmap and intends to deliver the world’s most powerful quantum computers with 2 million qubits by 2030 to accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. IonQ’s advancements in quantum networking position the company as a leader in building the quantum internet.
We are looking for a Senior Quantum Sales Executive who will be part of our US Go-To-Market team whose mission is to bring IonQ’s offering—including Quantum Hardware (Systems and Networks), Software, Applications, and Access—to a curated set of clients, High-Performance Computing (HPC), AI Model Development, and Neocloud providers. This is a Senior individual contributor role with potential to build a team down the road.
Responsibilities:
- Infrastructure Partnerships: Develop and own strategic relationships at the executive level (CTO, VP of Infrastructure, Head of AI Research) with Neocloud providers, HPC centers and Hyperscalers.
- Pipeline Generation: Develop a pipeline of sales opportunities focused on Hybrid Quantum-Classical architectures, integrating IonQ hardware into existing AI clusters and Exascale environments.
- Secure Networking: Lead the sales of Quantum Networking solutions, specifically targeting "Quantum-Safe" data center interconnects and secure model-training environments.
- Strategic Qualification: Qualify opportunities based on technical feasibility, financial considerations, and strategic alignment with IonQ’s target position in the AI/HPC industry.
- Full Lifecycle Ownership: Own all phases of the sales lifecycle from initial architectural discovery to RFP response for government/private tenders, and final contract execution.
- Internal Collaboration: Ensure support of the broader IonQ organization to successfully pursue high-value opportunities throughout the sales cycle.
- Retention & Expansion: Partner with Customer Success post-sale to ensure high satisfaction, driving renewals and identifying opportunities for incremental revenue
You’d be a good fit with:
- Industry GTM Tenure: Minimum of 10-years experience selling to the HPC or GPU Cloud Infrastructure industry with quota carrying responsibilities and a proven ability to close $10M+ hardware or CAPEX-heavy deals.
- HPC/Analytics Infrastructure Sales: Experience selling Supercomputers, AI Accelerators (TPUs/LPUs/GPUs), or high-speed InfiniBand/Optical networking.
- Industry Network: Existing relationships within AI Labs (OpenAI, Anthropic, xAI), Neocloud providers (e.g., Coreweave, nscale) and Hyperscalers (e.g., AWS, Azure, GCP, OCI).
- Category Creation: Proven ability to sell "frontier" infrastructure—moving beyond standard CPUs/GPUs and convince stakeholders/buyers of the necessity of Quantum Acceleration.
- Complex GTM Problem Solving: Ability to navigate the technical complexities of data center integration, including cooling, power constraints, and rack-scale deployment.
- STEM Foundation: An undergraduate degree in Math, Physics, Engineering, Computer Science, or another relevant technical field (STEM).
You’d be a great fit with:
- Targeted senior level relationships: existing Senior-level relationships with key decision makers in the neocloud provider Industry and/or with leaders building the next generation of Foundation Models (LLMs/LMMs).
- Domain Expertise: Deep understanding of the AI Scaling Laws and how Quantum Computing can address bottlenecks in training, optimization, or high-dimensional data processing.
- Quantu
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