Senior Solution Engineer Optimization

D-Wave is a leader in the development and delivery of quantum computing systems, software, and services. They are seeking a Senior Solution Engineer – Optimization to partner with customers in solving complex problems using advanced computing technologies, guiding technical adoption, and delivering measurable outcomes.

Responsibilities:

• Partner with customers to understand complex challenges and translate them into scalable technical solutions
• Lead technical conversations with a range of stakeholders, from hands-on practitioners to senior decision-makers
• Deliver compelling presentations, demos, and workshops in both small and large group settings
• Support customer implementations and ongoing success by providing guidance throughout the solution lifecycle
• Build strong, long-term relationships with customer teams and identify opportunities to expand impact
• Collaborate cross-functionally with sales, product, and services teams to ensure alignment and value delivery
• Contribute to external engagement efforts, including industry events and thought leadership activities
• Share insights from customer engagements to help shape product direction and future innovation

Requirements:

• Experience in a customer-facing technical role (e.g., solutions engineering, technical consulting, customer success, or similar) within a software or technology environment
• Strong problem-solving skills, with the ability to break down complex challenges and communicate solutions clearly
• Knowledge of optimization, algorithms, or analytical problem-solving approaches
• Proficiency in Python and familiarity with modern development tools and APIs
• Background in a quantitative or technical field such as computer science, engineering, mathematics, or related disciplines
• Experience working with enterprise customers in industries such as logistics, manufacturing, life sciences, finance, or research environments
• Ability to communicate effectively with both technical and non-technical audiences
• Experience with operations research or advanced analytics techniques
• Exposure to emerging technologies such as quantum computing or AI/ML
• Experience managing or contributing to complex technical projects