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: www.dwavequantum.com.
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.
About the role
D-Wave is seeking a Staff Technical Account Manager (TAM) with strong Optimization knowledge to lead technical engagements with Italian customers and support the integration and deployment of our quantum computing solutions. In this client-facing advisory 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.
What you'll do
- Present our product to customer prospects, understanding their most critical computational challenges and mapping company value accordingly
- Translate and present the company’s vision, strategy, and product roadmap to both executive-level and technical stakeholders
- 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
- Hold regular technical meetings with clients during rollout, expansion, and support phases, identifying opportunities for further ROI
- 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
- Support the identification of professional service opportunities through discovery meetings with customers and prospects, and collaborate with the professional services team
- Provide technical support to customer’s project through Advisory Service
- Expect 30%–50% travel to conferences, client meetings, training sessions, and sales events
About You
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related STEM field; advanced degree a plus
- 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 experience solving problems for clients.
- Strong foundation in Optimization (as it relates to Operations Research), algorithms, or applied mathematics
- Familiarity with Operations Research techniques and tools (highly desired)
- 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
- Experience with tools and platforms such as, GitHub, and REST APIs
- Proven ability to communicate technical content to both technical and non-technical stakeholders
- Experience with project areas in logistics, scheduling, resource allocation, or other similar focus preferred
- Quantum computing experience is a plus, but not required
- AI/LLM experience is a plus, but not required
- Project management experience is a plus, but not required
A D-Waver's DNA
- We look at the future and say “why not”; we see possibilities where others see problems or routines. We show the way ahead and are committed to achieving ambitious goals.
- We practice straight talk and listen generously to each other with empathy. We value different opinions and points of views. We ensure that we connect outside as well as inside to learn from others and inspire each other.
- We hold ourselves accountable for delivering results. We make decisions & take responsibility so that we can act & support each other.
- As leaders we motivate & engage our teams to undertake beyond what they originally thought possible, by developing our teams & creating the conditions for people to grow and empower themselves through enabling & coaching.
Our Compensation Philosophy is Simple but Powerful:
We believe providing D-Wavers with company ownership, competitive pay, and a range of meaningful benefits is the start of creating a culture where people want to give the best they’ve got — not because they’re simply making money, but because they’ve fallen in love with our vision, mission, values, and team.
During the interview process, your Recruiter will review our total rewards (base, equity, bonus, perks, benefit, culture) offerings. The final offer is determined by your proficiencies within this level.
Inclusion:
We celebrate diverse perspectives to drive innovation in our pursuit. Our employees range from distinguished domain experts with decades of experience in their respective fields, to bright and motivated graduates eager to make their mark. Our diverse and innovative team will make you feel appreciated, supported and empower your career growth at D-Wave.
The Fine Print:
No 3rd party candidates will be accepted
It is D-Wave Systems Inc. policy to provide equal employment opportunity (EEO) to all persons regardless of race, color, religion, sex, national origin, age, sexual orientation, gender identity, genetic information, physical or mental disability, protected veteran status, or any other characteristic protected by federal, state/provincial, local law.
TECHNICAL & MARKET ANALYSIS | Appended by Quantum.Jobs
The industrialization of quantum computing necessitates a specialized tier of technical orchestration to bridge the gap between abstract algorithmic potential and enterprise-grade operational integration. This role type serves as a critical conduit in the application enablement layer of the value chain, ensuring that complex optimization problems are accurately mapped to evolving hardware architectures. Market signals indicate that as organizations transition from exploratory research to empirical piloting, the structural bottleneck has shifted from raw hardware access to the technical translation of domain-specific constraints into quantum-ready formulations. By aligning multi-stakeholder requirements across sales, product, and professional services, this function mitigates the systemic risks associated with technology adoption and ensures the stability of long-term deployment roadmaps. Consequently, the presence of localized technical advisory expertise is becoming a primary determinant for successful sovereign and industrial quantum adoption.
The quantum computing ecosystem is currently navigating a pivotal maturation phase characterized by the shift toward hybrid classical-quantum workflows and the emergence of domain-specific middleware. Within this landscape, the role of technical account management specialized in optimization represents a vital interface between hardware providers and end-market applications in logistics, finance, and manufacturing. As global entities like the OECD and various national strategies emphasize, the primary challenge to quantum advantage is no longer just qubit count, but the ability to integrate these systems into existing high-performance computing (HPC) environments. This requires a sophisticated understanding of technology readiness levels (TRL) to manage the mismatch between current hardware limitations and industrial-scale accuracy requirements.
Macro-level analysis reveals a persistent talent gap at the intersection of operations research and quantum systems architecture. While academic research provides the foundational algorithms, the industrial sector requires experts who can navigate vendor fragmentation and provide technical validation for emerging software stacks. This coordination is essential for reducing the friction inherent in adopting disruptive technologies. Furthermore, the integration of quantum cloud services into traditional enterprise architectures demands a rigorous focus on interoperability and benchmarking to prevent vendor lock-in and ensure long-term scalability.
In regions with strong industrial bases, such as Italy, the deployment of quantum solutions is increasingly tied to national strategic imperatives for digital sovereignty and economic resilience. These ecosystem dynamics favor a decentralized support model where high-authority technical advisors act as the primary signal for credibility among executive-level and technical stakeholders. By facilitating this cross-functional exposure, the industry can more effectively synchronize internal development efforts with the rapid pace of hardware evolution, ultimately shortening the time-to-market for quantum-enhanced industrial applications.
The capability architecture for this role type centers on the synthesis of advanced operations research and quantum-classical hybrid systems. At the foundational layer, mastery of optimization formulations—including quadratic unconstrained binary optimization (QUBO) and discrete lattice kernel offloading—is essential for ensuring computational reproducibility. This technical proficiency is coupled with a deep understanding of the software development lifecycle (SDLC) in enterprise environments, particularly the integration of Python-based toolchains with REST APIs and cloud infrastructure. Such capabilities are critical for maintaining the structural throughput of quantum deployments, as they allow for the seamless translation of high-level business logic into low-level QPU instructions. Furthermore, the ability to architect these solutions ensures that hardware trajectories remain grounded in realistic benchmarking against classical baselines, which is vital for the stability and interoperability of the emerging quantum software stack. This expertise facilitates a high-level coupling between scientific breakthroughs and scalable architectural blueprints.
Accelerates the deterministic progression of technology readiness levels for enterprise-grade quantum optimization applications
Mitigates systemic risks associated with premature technology adoption through rigorous benchmarking against classical high-performance computing
Facilitates the transition from isolated proof-of-concepts to standardized commercial-grade quantum-enhanced software solutions
Reduces iteration friction in complex logistics and manufacturing pipelines through the integration of quantum-compatible algorithms
Strengthens the long-term competitive positioning of industrial sectors by securing early-mover expertise in quantum-centric research
Harmonizes abstract optimization theory with the practical requirements of scalable enterprise software architectures
Optimizes the lifecycle of quantum-classical hybrid systems through the development of interoperable software toolchains
Supports the scaling of quantum adoption by identifying high-impact use cases across diverse industrial lines of business
Shortens the time-to-market for quantum-ready products by ensuring infrastructure alignment with hardware development roadmaps
Improves the reliability of multi-stakeholder initiatives through the application of architectural best practices and standardized protocols
Protects capital-intensive investments in deep-tech by providing expert technical validation of emerging quantum systems
Enables the strategic orchestration of development efforts across large-scale global networks of internal and external partners
Industry Tags: Quantum Optimization, Operations Research, Enterprise Software Architecture, Hybrid Quantum-Classical Systems, Technical Account Management, Quantum Annealing, Technology Readiness Level, Industrial Quantum Applications, Solution Integration
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