Solutions Sales Engineer (Remote)

QCi

$90K — $130K *
US-AnywhereRemote in Hoboken, NJ
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Engineering, Physics, Applied Mathematics, Information Technology, Natural Sciences, or related field.
  • Master's degree or quantum/AI focus preferred.
  • 5-8+ years in customer-facing technical roles such as Solutions Engineering or Technical Account Management.
  • Strong experience supporting sales cycles and delivering technical demos.
  • Advanced proficiency in Python, including data libraries like pandas and numpy.
  • Experience with on-site deployments and system integrations.
  • Confident public speaker with strong communication skills.

Responsibilities

  • Serve as the primary technical lead for customers, providing guidance and support.
  • Manage and triage support tickets, ensuring clear communication.
  • Develop Python-based proofs-of-concept to illustrate product capabilities.
  • Lead on-site deployments and user onboarding for multi-day projects.
  • Translate complex quantum concepts into business solutions for varied audiences.
  • Support the sales cycle through technical demos and solution designs.
  • Represent QCi at industry conferences, conducting live demos.

Benefits

  • Flexible work location options, including remote work with travel.
  • Opportunity to work in a pioneering field of quantum computing.
  • Engagement in hands-on, customer-focused technical work.
  • Access to professional development in cutting-edge technologies.
  • Collaboration with diverse cross-functional teams to drive innovation.
Full Job Description
Job Title

Solutions Sales Engineer

Job Description

Location: Hoboken, NJ or Remote with Travel

Division: Revenue

Department: Customer Success

Position Description:

The Senior Solutions Sales Engineer is a high-impact, customer-facing role responsible for driving both technical adoption and revenue growth. This role blends solutions engineering, sales engineering, product expertise, Python prototyping, and hands-on deployments for QCi's quantum and quantum-inspired computing platforms.

You will support the full customer lifecycle: pre-sales discovery, demos, proof-of-concepts, deployment, onboarding, troubleshooting, and long-term adoption. You should be equally comfortable designing technical solutions, presenting to customers, and rolling up your sleeves during on-site installs for multi-day engagements. Ideal for someone who thrives in emerging technology, enjoys field work and collaboration, and can translate complex quantum concepts into practical business value.

Duties and Responsibilities:
  • Serve as the primary customer-facing technical lead, handling discovery, demos, support, and ongoing guidance.
  • Review, triage, and route support tickets while maintaining clear communication with customers and internal teams.
  • Develop Python-based proofs-of-concept to validate use cases and demonstrate platform capabilities.
  • Lead on-site deployments, integrations, and user onboarding (including multi-day customer visits).
  • Translate quantum and reservoir computing concepts into practical business value for diverse audiences.
  • Support the sales cycle through technical discovery, demos, solution design, and proposal inputs.
  • Represent QCi at conferences and events by delivering live demos and engaging prospects.
  • Capture customer feedback and insights to inform product improvements, documentation, and internal workflows.
  • Collaborate cross-functionally with Sales, Engineering, Product, Data Science, and Marketing to deliver tailored solutions and aligned customer experiences.


Required Skills and Experience:
  • Bachelor's degree in Computer Science, Engineering, Physics, Applied Mathematics, Information Technology, Natural Sciences, or related technical/business field.
  • Master's degree or quantum/AI focus preferred.
  • 5-8+ years in customer-facing technical roles (Solutions Engineering, Sales Engineering, Technical Account Management, Customer Success Engineering, Application Engineering).
  • Strong track record supporting sales cycles, delivering demos, and enabling technical decision-making.
  • Advanced Python proficiency, including scripting, prototyping, data libraries (pandas, numpy), and experience supporting embedded software or internal tools.
  • Understanding of resource access, system permissions, APIs, and basic architecture principles.
  • Experience in on-site deployments, system integrations, hardware/software configuration, and troubleshooting.
  • Confident public speaker capable of representing QCi at industry events and customer briefings.
  • Excellent written/verbal communication and the ability to break down complex concepts for any audience.
  • Strong organization, prioritization, and problem-solving skills in fast-moving environments.
  • Experience with collaboration/support tools such as Jira, Confluence, Salesforce, and ticketing systems.
  • Willingness to travel 30-50%, including multi-day onsite customer engagements (3-5 days).

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