Shelf
Enterprise Account Executive
New York City · Senior
Sponsorship not specifiedDetected 1 day ago
SnowflakeDatabricksAgentic AISalesforceSalesAccount ManagementCustomer SuccessLeadershipCommunication
About the role
- Leading enterprises including Amazon, Nespresso, HelloFresh, and KeyBank use Shelf to power AI agents that automate complex workflows, improve operational efficiency, and transform manual processes into intelligent automation.
- We're partnered with Microsoft, Salesforce, OpenAI, Snowflake, and Databricks, and have been recognized by Gartner as a Cool Vendor and by IDC as an Innovator for our approach to enterprise AI.
Responsibilities
- Own the full enterprise sales cycle from prospecting through close.
- Build relationships with executives and technical stakeholders across Fortune 1000 organizations.
- Lead complex, multi-threaded sales opportunities involving business and technical stakeholders.
- Partner closely with Solutions Architects, Customer Success, Product, and Marketing to deliver an exceptional buying experience.
- Develop strategic account plans that create long-term customer value.
- Help build and shape a world-class enterprise sales organization as we continue to scale.
- Excellent communication, presentation, and relationship-building skills.
Requirements
- 5+ years of quota-carrying experience selling enterprise B2B SaaS software.
- A proven track record of consistently exceeding sales targets.
- Strong ownership mentality with the ability to thrive in a fast-paced startup environment.
Compensation
- Competitive base salary
Benefits
- Performance-based bonus opportunities
- Meaningful equity ownership through stock options
- Flexible paid time off
- Comprehensive medical, dental, and vision coverage
Company info
- Leading enterprises trust Shelf for its innovation, reliability, and measurable business impact.
- What We're Looking For
- Experience selling complex, multi-stakeholder solutions to enterprise customers.
This listing is sourced directly from Shelf's careers page and normalized into a canonical job model.