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.

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).

Solutions Sales Engineer

Key skills