
Quantum Solutions Architect
Posted 17 hours ago

Posted 17 hours ago
This is a fully remote position, open to applicants in United States.
• Oversee the technical aspects of the sales process in the Americas, engaging with government, enterprise, and academic clients.
• Assist clients in assessing, implementing, and interacting with Classiq's quantum software platform.
• Collaborate with go-to-market teams and act as a reliable advisor for both customers and colleagues.
• Resolve complex issues and facilitate technical explorations.
• Present tailored demonstrations that meet customer expectations.
• Work alongside Sales and other teams to assess, define, and shape business opportunities.
• Establish technical engagement strategies and plans with clients.
• Comprehend customer challenges across various sectors, including Finance, Pharma, Automotive, Healthcare, and Logistics.
• Cultivate trust and guide customers toward informed decisions through impactful demonstrations.
• Convey intricate quantum computing concepts to technical audiences effectively.
• Discover new technical opportunities during customer interactions.
• Provide insights from the field to shape product development based on prospect feedback.
• Maintain reusable implementation assets and proof of concept templates.
• A minimum of 3 years of experience in a customer-facing technical position (e.g., Solutions Engineer, Presale Engineer, or customer-facing DevOps roles), or in a strategic technical role with significant cross-functional collaboration (e.g., Product Manager, System Architect).
• A degree in Computer Science with substantial experience in deep tech, or a degree in quantum information or quantum computing is preferred.
• A Ph.D. in a relevant field is preferred.
• Exceptional communication skills with the ability to clearly articulate technical subjects.
• Experience in quantum information, quantum software engineering, or quantum algorithms.
• Residing in the US and a native English speaker.
• Capable of working independently and remotely.
• Bonus: Experience in the Machine Learning and AI industry.
• Competitive compensation package including base salary, commission, and equity.
• Flexible, remote-friendly work environment.
• Opportunity to collaborate with leading researchers and engineers in the field.
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