Multiverse Computing
Multiverse Computing is a fast-growing deep-tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. We are the largest quantum software company in the EU, with 250+ employees worldwide building advanced AI and quantum solutions that help enterprises tackle complex, high-impact challenges across industries such as finance, energy, manufacturing, telecom, and industrials.
Our mission is to enable organizations to gain a meaningful competitive edge through cutting-edge AI and quantum technologies.
Why join us?
We are a European deep-tech leader in quantum and AI, backed by major global strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide — compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50–80%. Joining us means working on cutting-edge solutions that make AI faster, greener, and more accessible — and being part of a company often described as a “quantum-AI unicorn in the making.”
The Opportunity
We are hiring an Enterprise Account Executive for France. This is a senior, high-autonomy individual contributor position with full ownership of the France market.
You will engage Europe's largest and most sophisticated enterprises at CEO, CTO, CIO, CDO, and CFO level. You will sell transformational AI solutions into complex, multi-stakeholder environments with enterprise sales cycles, bespoke solution design, and significant commercial stakes.
We are not looking for enterprise salespeople who have developed an interest in AI. We are looking for people who have lived inside a fast-moving, resource-constrained, technically credible European AI company and who have learned to sell a product that buyers did not yet fully understand, into enterprises that had no established budget for it, using a value proposition they had to co-create with every customer.
Key responsibilities
Enterprise Sales & Revenue Growth
• Own the complete enterprise sales cycle — from initial strategic discovery through qualification, proposal, negotiation, closing, and account expansion.
• Build and close deals with TCV of €500K–€1M+, with clear ambition for €10M+ strategic multi-year engagements.
• Develop and maintain a disciplined pipeline with a minimum 3× coverage ratio against annual quota, supported by rigorous forecasting and structured deal governance.
• Deliver against annual revenue targets while maintaining the long-term trust and credibility that drive expansion revenue and referrals.
• Maintain accurate, up-to-date opportunity management within the CRM system in accordance with company standards.
GTM Execution & Market Development
• Design and execute a national go-to-market strategy across priority industries and enterprise segments, reviewed quarterly.
• Identify, qualify, and activate new opportunities across AI transformation, quantum-inspired optimisation, and sovereign AI infrastructure use cases.
• Represent Multiverse Computing at the highest levels of the national enterprise ecosystem — executive committees, industry associations, and sector conferences.
• Develop and maintain relationships with system integrators, Big 4 consultancies, and sector-specific alliance partners.
Consultative & Solution Selling
• Lead outcome-driven, discovery-first sales conversations anchored in business impact rather than predefined products.
• Engage C-suite and senior technical stakeholders to surface explicit and latent needs where AI and quantum computing can create durable competitive advantage.
• Co-create tailored AI use cases, transformation roadmaps, business cases, and solution architectures in close collaboration with Multiverse's technical and research teams.
• Translate highly complex technical capabilities into clear, compelling business value narratives appropriate for executive audiences.
• Navigate the specific procurement, legal, compliance, and multi-stakeholder dynamics of the national enterprise environment with professionalism and precision.
Cross-Functional Commercial Leadership
• Serve as the commercial lead within complex deal teams, maintaining alignment and momentum across product, engineering, solutions, legal, and finance functions.
• Provide structured, regular, and actionable market intelligence to product and senior leadership teams.
• Collaborate with marketing and partnerships to build brand presence and pipeline through thought leadership, events, and ecosystem development.
Customer Partnership & Long-Term Value
• Build deep, multi-level relationships within strategic accounts — from technical teams through to board level.
• Develop into a trusted advisor on AI strategy and innovation for the most important enterprise customers in the national portfolio.
• Support deployment and adoption in collaboration with Customer Success to ensure customers realise the full value of their investment.
Required Qualifications
• Minimum 2 years in a direct revenue-generating role at a European AI scale-up or fast-growing AI/deep-tech company within the last 5–7years of overall experience. The company must have been building an AI market, not harvesting an established one.
• Demonstrated history of closing, or being the primary contributor to closing, enterprise deals with individual TCV of €500K or above.
• A meaningful portion of closed revenue derived from new-logo accounts opened from scratch, not inherited from predecessors or generated exclusively through inbound channels.
• Native fluency in French, plus fluent English.
• Legal authorization to work in France.
Preferred Qualifications
• Experience selling AI, infrastructure, or highly customized technology solutions.
• Established network within large enterprises in sectors such as finance, energy, manufacturing, telecom, or industrials.
• Background in consulting, system integration, or complex solution sales.
• Experience scaling new markets, verticals, or product lines in high-growth environments.
Location
• Applicants must have legal authorization to work in France.
Perks & Benefits
• Work at the forefront of AI, quantum computing, and deep-tech innovation.
• Signing bonus and competitive commission structure.
• Shape transformative enterprise AI initiatives with global impact.
• Join a highly international, collaborative, and fast-growing team.
• Contribute directly to cutting-edge technology with real-world business impact.
As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.
TECHNICAL & MARKET ANALYSIS | Appended by Quantum.Jobs
The emergence of a dedicated commercial tier for deep-tech integration represents a critical maturation phase within the European quantum and AI ecosystem. As the industry transitions from exploratory research toward the deployment of sovereign AI infrastructure and quantum-inspired optimization, the role of a specialized Enterprise Account Executive becomes structurally necessary to navigate the high "adoption friction" typical of nascent technology markets. By facilitating the co-creation of value propositions for multi-stakeholder enterprise environments, this role drives the essential translation of abstract computational capabilities into durable industrial competitive advantage. Market indicators, including the prioritization of European deep-tech leadership and the strategic compression of LLM inference costs, suggest that the ability to secure large-scale commitments for unbudgeted, transformative solutions is a primary determinant of a firm's trajectory toward becoming a dominant market entity. This function acts as a catalyst for the structural throughput of emerging technologies by bridging the gap between deep-tech engineering breakthroughs and the procurement dynamics of the world's most sophisticated organizations.
The global quantum and artificial intelligence industries are currently experiencing a pivot from general-purpose capability development toward industry-specific application enablement. In the European context, this shift is characterized by an increasing emphasis on sovereign AI infrastructure and the integration of quantum-centric software into established industrial workflows. Within this value chain, the "commercial enablement" layer addresses the significant bottleneck where deep-tech innovations must be validated against the rigorous ROI requirements of sectors such as finance, energy, and manufacturing. As organizations move beyond theoretical proofs-of-concept, the challenge lies in managing the long-term technology roadmaps of enterprises that are simultaneously navigating digital transformation and the arrival of disruptive computational modalities.
Macro-level constraints, specifically the scarcity of talent capable of managing complex, high-stakes sales cycles for non-standardized products, remain a persistent barrier to ecosystem scaling. While technical R&D continues to accelerate, the "application gap"—the distance between a breakthrough and its commercial adoption—is frequently widened by a lack of institutional readiness among potential buyers. This necessitates a strategic focus on consultative frameworks that prioritize business impact and multi-level stakeholder alignment over predefined product features. Furthermore, the fragmentation of the vendor landscape requires a high degree of architectural fluency to ensure that new solutions remain interoperable with existing enterprise stacks while preparing for future hardware trajectories.
The integration of advanced AI and quantum-inspired solutions also faces significant hurdles related to the transparency of cost-benefit analyses, particularly as inference costs and energy efficiency become central to national and corporate sustainability agendas. Leading firms are addressing these challenges by developing modular software toolchains that allow for the seamless offloading of computational tasks to optimized hardware. Consequently, the commercial strategy for this sector is evolving to favor long-term partnership models and multi-year strategic engagements that can sustain the high capital intensity of deep-tech development while delivering incremental, high-fidelity value to the end user.
The capability architecture for this role type is centered on the sophisticated orchestration of technical expertise and business strategy to accelerate the adoption of deep-tech solutions. At the foundational layer, a mastery of value-based consultative frameworks is essential for navigating environments where standard procurement budgets do not yet exist for emerging technologies. This requires the ability to lead outcome-driven discovery processes that surface latent organizational needs where AI-led optimization or quantum-ready architectures can create measurable impact. This strategic proficiency must be coupled with an understanding of hybrid technology stacks, ensuring that proposed transformation roadmaps are grounded in realistic hardware capabilities and scalable software engineering principles.
Furthermore, the role facilitates a critical feedback loop between the market and the internal R&D pipeline. By translating complex technical benchmarks—such as model compression ratios or algorithmic stability—into compelling narratives for C-suite stakeholders, these experts ensure that research efforts remain aligned with the highest-impact industrial use cases. This cross-functional coupling is vital for maintaining the integrity of the technology stack as it moves through various technology readiness levels (TRL). Success in this domain depends on the capacity to manage the legal, compliance, and multi-stakeholder dynamics of the national enterprise environment while maintaining the momentum of complex, multi-year deal cycles.
Accelerates the deterministic translation of deep-tech research into standardized commercial-grade enterprise software solutions
Mitigates systemic risks for early adopters by establishing rigorous business cases for quantum-inspired optimization
Facilitates the emergence of sovereign AI infrastructure through the strategic engagement of national industrial leaders
Reduces iteration friction between research teams and enterprise stakeholders through high-fidelity requirement alignment
Strengthens the competitive positioning of European industries by securing first-mover expertise in AI-driven cost reduction
Harmonizes abstract technological breakthroughs with the practical architectural requirements of large-scale global networks
Optimizes the lifecycle of complex sales engagements through the development of tailored transformation roadmaps
Supports the scaling of the deep-tech ecosystem by identifying and activating high-impact use cases across diverse sectors
Shortens the time-to-value for enterprise investments by ensuring solution readiness matches hardware development trajectories
Improves the reliability of multi-stakeholder adoption through the application of structured deal governance and market intelligence
Protects capital-intensive deep-tech investments by providing expert commercial validation of emerging technical capabilities
Enables the strategic orchestration of national go-to-market efforts across priority industries and sector-specific alliances
Industry Tags: Deep-Tech Commercialization, Enterprise AI Transformation, Quantum Software Ecosystem, Sovereign AI Infrastructure, Consultative Solution Selling, LLM Optimization, Industrial Deep-Tech Adoption, High-Stakes Revenue Growth, European Deep-Tech Leadership
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