Technical Account Manager - Research

D-Wave (NYSE: QBTS), D-Wave is a leader in the development and delivery of quantum computing systems, software, and services. We are the world’s first commercial supplier of quantum computers, and the only company building both annealing and gate-model quantum computers. Our mission is to help customers realize the value of quantum, today. Our quantum computers — the world’s largest — feature QPUs with sub‑second response times and can be deployed on‑premises or accessed through our quantum cloud service, which offers 99.9% availability and uptime.

More than 100 organizations trust D-Wave with their toughest computational challenges. With over 200 million problems submitted to our quantum systems to date, our customers apply our technology to address use cases spanning optimization, artificial intelligence, research and more. Learn more about realizing the value of quantum computing today and how we’re shaping the quantum‑driven industrial and societal advancements of tomorrow:

You can read more about our company and our innovations in the pages of The Wall Street Journal, Time Magazine, Fast Company, MIT Technology Review, Forbes, Inc. Magazine, Wired and across many whitepapers.

At D-Wave, we’re helping customers realize the value of quantum computing today and are shaping the quantum‑driven industrial and societal advancements of tomorrow.

D-Wave is seeking a Technical Account Manager (TAM) in Germany or Italy, to lead technical engagements with research clients and support the integration and deployment of our quantum computing solutions. In this client‑facing role you’ll act as a trusted technical advisor externally, helping customers identify use cases, solve complex problems, and achieve successful adoption of our platform. Internally, you’ll collaborate closely with sales, product, professional services and business development teams to ensure customer needs are met, and value is delivered.

• Present our quantum computing capabilities to research prospects, understanding their most critical computational challenges and mapping potential project ideas accordingly
• Translate and present the D-Wave’s vision, strategy, and product roadmap to both executive‑level and technical stakeholders at research organizations
• Deliver technical presentations at large events such as conferences, webinars, and seminars
• Support marketing efforts by hosting webinars, staffing conference booths, and representing the company at industry events
• Work with a dedicated team of D-Wave personnel from services, R&D, and support to hold regular technical meetings on active research projects, connecting the dots towards strengthening long‑term research ecosystems
• Build and maintain long‑term technical relationships with customer teams across the project lifecycle
• Identify and recommend new projects that can leverage the D-Wave’s solutions
• Serve as a technical resource on quantum optimization, industry trends, and competitive positioning
• Convey customer requirements to internal product and development teams, advocating for client needs
• Communicate complex technical information clearly and effectively across multiple platforms and audiences
• Demonstrate a strong customer support mindset, meeting clients where they are and delivering candid, thoughtful guidance
• Expect 30%–50% travel to conferences, client meetings, training sessions, and sales events

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related STEM field; advanced degree a plus
• Must be fluent in German or Italian and English
• 5+ years combined experience in a technical customer‑facing role (e.g. Sales Engineer, Technical Account Manager, Presales, Solution Integrator, Solution Architect, Customer Success) in enterprise software or comparable post‑sales account management experience with clients in large research organizations
• 2+ years of hands‑on Python programming experience in an enterprise environment
• Experience supporting clients in areas of logistics, manufacturing, pharma, fintech, and/or research and education is required
• Strong foundation in optimization, algorithms, or applied mathematics
• Experience with tools…