Account Executive
Posted 1 Apr 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 3+ yrs
- Management level
- Individual contributor
- Employment
- Hybrid
- Contract
- Full-time
No salary listed for this role.
The Role
As one of our first Account Executives, you will be the tip of the spear for our Sales-Led Growth (SLG) motion. You will be responsible for driving revenue by acquiring new B2B customers—ranging from agile AI startups to mid-market enterprises.
You are a "full-cycle" closer who is comfortable hunting for outbound opportunities, running technical discovery calls with CTOs and AI researchers, and navigating complex deal cycles. Because we are a cross-border team, your ability to bridge the gap between US clients and our global engineering team will be critical to your success.
What You Will Do
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Full-Cycle Sales: Own the entire sales process from prospecting and lead generation to negotiation and closing.
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Outbound Hunting: Proactively identify and target AI startups, research labs, and tech companies that require scalable GPU compute and LLM API solutions.
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Technical Discovery: Conduct deep-dive discovery calls with technical buyers (CTOs, VP of Engineering, Lead AI Scientists) to understand their infrastructure pain points and position our solutions effectively.
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Pipeline Management: Maintain a healthy pipeline of opportunities, providing accurate forecasting and CRM hygiene.
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Cross-Border Collaboration: Work closely with our global product, engineering, and marketing teams (based in China and the US) to ensure customer feedback is translated into product improvements and to secure technical support for complex deals.
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Market Intelligence: Act as the eyes and ears on the ground, gathering insights on competitor pricing, feature gaps, and market trends in the Silicon Valley AI ecosystem.
Who You Are (Qualifications)
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Experience: 3+ years of quota-carrying B2B sales experience in Cloud Infrastructure (IaaS/PaaS), Developer Tools, or AI/Machine Learning SaaS.
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Technical Empathy: You don't need to write code, but you must deeply understand the AI landscape. You know the difference between training and inference, understand what an API endpoint is, and can confidently discuss GPUs and LLMs.
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Startup DNA: You are scrappy, resilient, and thrive in an ambiguous, fast-paced, 0-to-1 environment. You don't wait for a playbook; you build it.
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Bilingual : Fluency in both English and Mandarin Chinese is highly preferred.
Bonus Points
- Existing network and relationships within the Silicon Valley AI startup ecosystem.