Strategic Account Executive (AI-native)

Enterprise Account Executive – AI Infrastructure

San Francisco, CA | Hybrid

About the Role

We are looking for an experienced Enterprise Account Executive to drive the growth of an AI infrastructure and Model-as-a-Service platform across the US market.

This is a full-cycle, strategic sales role focused on acquiring and expanding enterprise and AI-native customers. You will be responsible for building pipeline, developing executive relationships, leading complex sales cycles, closing new business, and expanding strategic accounts.

You will work closely with Solution Architects, Engineering, Product, and senior leadership to understand customers’ AI strategies, identify high-value production use cases, lead technical evaluations and POCs, and translate successful deployments into long-term commercial relationships.

This is an excellent opportunity for a highly entrepreneurial sales professional to join an early-stage AI company and play a key role in shaping its US enterprise GTM strategy and sales motion.

Key Responsibilities

1. Full-Cycle Enterprise Sales

• Own the entire sales cycle from prospecting and qualification through technical evaluation, commercial negotiation, closing, and expansion.
• Develop and execute account strategies for high-priority enterprise and AI-native customers.
• Build trusted relationships with technical, business, and executive stakeholders.

2. Pipeline Generation & Business Development

• Build a strong self-sourced pipeline across the US.
• Identify and engage high-potential enterprise, technology, and AI-native accounts.
• Develop new territories and customer segments from the ground up.
• Create and execute account plans to penetrate, land, and expand strategic customers.

3. AI & Technical Solution Selling

• Identify high-value AI use cases, including LLM/API adoption, model inference, production AI workloads, and enterprise AI deployment.
• Partner with Solution Architects and Engineering teams to understand customer requirements and develop appropriate technical solutions.
• Lead customer evaluations, technical discussions, POCs, and business-value presentations.
• Translate complex AI and infrastructure solutions into clear commercial and business outcomes.

4. Strategic Account Management

• Build long-term relationships with CTOs, CIOs, VPs of Engineering, AI/ML leaders, infrastructure teams, and other senior decision-makers.
• Navigate complex sales cycles involving engineering, AI/ML, infrastructure, security, procurement, finance, and executive stakeholders.
• Expand successful initial deployments into broader production workloads and strategic partnerships.

5. Cross-Functional Collaboration

• Work closely with Solution Architecture, Engineering, Product, and executive leadership throughout the sales process.
• Represent customer requirements internally and provide feedback on product roadmap, pricing, positioning, and GTM strategy.
• Help develop scalable sales processes, qualification frameworks, POC strategies, messaging, and enterprise sales playbooks.

6. Market Development

• Represent the company at industry events, conferences, customer meetings, and executive briefings.
• Develop a strong understanding of the AI infrastructure, cloud, and enterprise AI market.
• Bring customer and competitive intelligence back to the business to support product and GTM decisions.

Requirements

• 7+ years of B2B technology sales experience, with a strong track record of closing strategic or enterprise accounts.
• Proven experience selling AI, cloud, infrastructure, developer platforms, data platforms, ML platforms, SaaS, or other highly technical solutions.
• Demonstrated success in self-sourcing pipeline and building a territory from the ground up.
• Strong track record of closing complex, high-value enterprise deals.
• Experience selling to AI-native companies, technology companies, and/or large enterprises.
• Strong understanding of AI/ML, cloud, infrastructure, or developer technologies, with the ability to engage credibly with technical stakeholders.
• Excellent consultative selling skills and the ability to connect technical solutions with business outcomes.
• Experience managing long, multi-stakeholder enterprise sales cycles.
• Strong executive presence and communication skills.
• Ability to collaborate effectively with technical teams, Product, Engineering, and senior leadership.
• Highly entrepreneurial, proactive, and comfortable operating in an early-stage, rapidly evolving environment.
• Strong ownership mentality with a willingness to build processes and solve problems independently.

Preferred Qualifications

• Experience selling MaaS, LLM APIs, AI inference, AI infrastructure, or enterprise AI platforms.
• Experience with GPU infrastructure, cloud platforms, model deployment, MLOps, developer infrastructure, or AI platforms.
• Existing relationships with CTOs, CIOs, AI/ML leaders, engineering leaders, or infrastructure executives.
• Experience selling into AI startups, technology companies, or Fortune 500 enterprises.
• Previous experience at a high-growth technology or AI startup.
• Mandarin proficiency is a plus, but not required.

Why Join

• Join an early-stage company operating at the intersection of AI models, cloud infrastructure, and enterprise AI adoption.
• Take ownership of a strategic US territory and help build the enterprise sales organization from the ground up.
• Work directly with customers deploying AI workloads into production.
• Partner closely with technical and executive leadership.
• Have meaningful influence over GTM strategy, product positioning, pricing, and sales processes.
• Significant opportunity to grow with a rapidly developing AI infrastructure business.

This is a high-ownership enterprise sales role for someone who can both create opportunities from scratch and close sophisticated AI infrastructure deals.