We're seeking an Account Executive to drive our startup's expansion. This key role will oversee sales and outreach initiatives to our Enterprise customer base. As one of our first non-engineering hires, you'll play a crucial part in shaping our growth strategy and execution.
Strategic Execution: Implement plans to close deals with Fortune 500 companies and other top-tier enterprises that can benefit from our AI solutions.
Relationship Building: Connect with key decision-makers, including executives, directors, and procurement teams.
Business Development: Prospect new leads along our SDRs, Qualify new opportunities, develop proposals, negotiate contracts, and close deals.
Experience: 5+ years as an Account Executive in B2B SaaS or AI technology.
Track Record: Proven success in closing deals with large enterprises and managing complex sales cycles.
Technical Proficiency: Comfortable with the technical nuances of Generative AI and can translate complex concepts into clear, engaging narratives.
Creative and Proactive: A self-starter with a knack for innovative problem-solving and project management, able to handle multiple initiatives simultaneously without sacrificing quality.
Networking Prowess: Strong network within Fortune 500 companies and ability to build new relationships quickly.
Stack AI is a no-code drag-and-drop tool to quickly design, test, and deploy AI workflows that leverage Large Language Models (LLMs), such as ChatGPT, to automate any business process.
Our core value is to make it extremely easy to build arbitrarily complex AI pipelines using a visual interface that allows you to connect different data sources with different AI models.
Our customers use Stack AI to build applications such as:
Chatbots and Assistants: AI agents that interact with users, answer questions, and complete tasks, using your internal data and APIs.
Document Processing: apps to answer questions, summarize, and extract insights from any document, no matter how long.
Answer Questions on Databases: connect GPT-like models to databases (such as Notion, Airtable, or Postgres) and ask questions about them.
Content Creation: generate tags, summaries, and transfer styles or formats between documents and data sources.
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