Enterprise Account Executive – US (AI / LLM / Infrastructure)

About the Role

We are looking for a Strategic Enterprise Account Executive to lead high-value enterprise engagements across US. This is a senior, consultative enterprise sales role focused on complex, multi-stakeholder deals where technology, business strategy, and long-term value creation intersect.

You will partner with senior executives to identify opportunities for AI-driven transformation, shape bespoke solutions, and guide customers from early discovery through closing and long-term partnership.

Key Responsibilities

Enterprise Sales & Revenue Growth

• Own and manage the full lifecycle of large, complex enterprise opportunities — from strategic discovery through negotiation, closing, and expansion.

• Build and close high-value deals involving long sales cycles, bespoke scopes, and multiple stakeholders.

• Deliver against ambitious revenue targets while prioritizing long-term customer value and strategic positioning.

GTM Execution & Market Development

• Develop and execute regional go-to-market strategies across target industries and enterprise segments.

• Identify and activate new opportunities in AI, quantum and infrastructure use cases.

• Represent Multiverse Computing at C-suite and senior technical levels as a trusted strategic partner.

Consultative & Solution Selling

• Lead outcome-driven sales conversations focused on business impact rather than predefined products.

• Engage senior executives to uncover explicit and latent business needs where AI can create competitive advantage.

• Co-create tailored AI use cases, transformation roadmaps, and solution architectures aligned with customer strategy.

• Translate complex technical capabilities into clear business value narratives for executive stakeholders.

Cross-Functional Collaboration & Leadership

• Collaborate closely with product, engineering, research, and solutions teams to design customer-specific offerings.

• Act as the commercial lead in complex deal teams, ensuring alignment, momentum, and clarity throughout the sales cycle.

• Provide structured market feedback to influence product direction and roadmap priorities.

Customer Partnership & Long-Term Value Creation

• Build deep, multi-level relationships within enterprise accounts, becoming a trusted advisor on AI strategy and innovation.

• Support successful deployment and adoption of solutions to enable sustained account growth and expansion.

Required Qualifications

• 10+ years of experience in enterprise sales, strategic accounts, or consultative go-to-market roles.

• Proven track record closing large, complex deals typically ranging from €500K to €5M+ (or higher).

• Strong executive presence, with experience influencing and advising C-level stakeholders.

• Demonstrated experience selling into the US enterprise market, with a strong understanding of local buying dynamics and stakeholder environments within large corporations.

• Location: Applicants must have legal authorization to work in the country where the position is based.

• 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.

Perks & Benefits

• Competitive commission structure and signing bonus.

• Indefinite contract with equal pay guaranteed.

• Private health insurance fully covered by the company for the employee and family members.

• 401(k) pension (Self)

• Fully remote at first, transitioning to a hybrid model as the company grows in the Bay Area.

• Flexible working hours.

• Work in a high-paced environment on cutting-edge technologies at the intersection of AI and Quantum Computing.

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.