Large Enterprise Account Executive
New
N
n8nWorkflow automation
Remote US EastFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- At least five years of enterprise SaaS sales experience
- Required Skills
- Artificial IntelligenceNegotiation
Requirements
- Have at least five years of enterprise SaaS sales experience selling to organizations with 5,001 or more employees.
- Have closed multiple deals of £100k+ ACV in multi-stakeholder sales cycles of three to six months or more.
- Have sold to developers, engineers, CTOs, and CIOs, and be able to hold both technical and executive-level conversations.
- Generate pipeline through outbound prospecting and win new customers.
- Have consistently met or exceeded quota over the past two to three years.
- Use a sales methodology such as MEDDPICC and navigate technical evaluations, procurement, legal, and security reviews.
- Be based in New York, New Jersey, Massachusetts, Pennsylvania, Virginia, North Carolina, Florida, or Georgia.
- Have sold developer tools, cloud infrastructure, data, AI, or automation platforms (nice to have).
- Have experience with system integrators or cloud partners (nice to have).
- Understand how community adoption can translate into enterprise revenue (nice to have).
Responsibilities
- Build and execute account strategies for organizations with 5,001 or more employees in the US East territory.
- Open doors with outbound campaigns aimed at CTOs, CIOs, and engineering and platform leaders.
- Turn community adoption inside large companies into sponsored, funded opportunities.
- Run discovery, quantify business impact, and build executive-level business cases.
- Map and align decision makers across engineering, IT, security, legal, and procurement.
- Partner with Solutions Engineers, Partnerships, and Customer Success to prove value and de-risk adoption.
- Own sales cycles through security, legal, and procurement, typically over three to six months or more.
- Negotiate six-figure deals and maintain commercial control.
- Plan expansion across business units and use cases, and share field learnings with Product and leadership.
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