acceldata
Enterprise Account Executive - NY Metro
United States · Exec
Sponsorship not specified$300k-$350kDetected 913 days ago
Data EngineeringLLMsSalesforceSalesAccount ManagementPipeline ManagementNegotiationOutbound SalesExcelHRISCustomer SuccessCommunicationCollaborationPublic Speaking
About the role
- We are seeking a dynamic and results-driven Account Executive to join our growing team.
- As an Account Executive, you will be a crucial member of our sales force, responsible for cultivating and managing relationships with our valued clients across the New York and New Jersey territories.
Responsibilities
- Develop and execute strategic sales plans to achieve and exceed revenue targets within assigned territory.
- Identify target accounts and build strong relationships with key decision-makers throughout the organization.
- Maintain strong sales pipeline and forecast to increase visibility of short and long-term prospects through Salesforce
- Build and maintain relationships with account decision-makers and decision influencers, key business partners, and influencers in the territory
- Maintain a deep understanding of our software products and effectively communicate their value propositions to potential clients.
- Manage and grow partner relationships at the field level with ISVs and GSIs to drive revenue and client success
- Lead negotiations and contract discussions, addressing client concerns and objections effectively.
Requirements
- 7+ years of quota-carrying, enterprise software sales into the Fortune 500 with a proven track record of exceeding quota.
- Experience using Salesforce and other sales tools (Clari, LinkedIn Sales Navigator, Outreach, ZoomInfo, etc) to automate tactical elements of the sales process and accelerate deal velocity and increase productivity.
- Excellent verbal and written communication skills with the ability to articulate complex, value oriented and architecture concepts clearly and concisely.
- Comfortable speaking with data engineers, Chief Data Officers, and others with deep domain expertise in enterprise data management.
Skills
- Your primary focus will be on driving revenue growth, expanding our customer base, and delivering exceptional customer experiences.
- Prospect, qualify, and close new enterprise accounts within the Fortune 500 while expanding relationships within the existing customer base.
- Comprehensively understand client needs and pain points, positioning our software solutions as essential tools for their business success.
Compensation
- $300k-$350k
Benefits
- Flexible PTO Plan
- Up to 100% employer-paid benefits for health, dental, and vision coverage for specific plans
- Conduct product demonstrations and presentations that highlight the benefits of our solutions in addressing client challenges.
Company info
- Acceldata is the market leader in Enterprise Data Observability.
- Founded in 2018 and backed by top investors including Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures, we are a Series-C funded company headquartered in Silicon Valley.
- Delivered as a SaaS solution, Acceldata is trusted by leading global organizations such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Oracle, PubMatic, PhonePe (Walmart), Hershey's, Dun & Bradstreet, and many more.
- Our Enterprise Data Observability Platform-the first of its kind-helps enterprises build and operate world-class data products by ensuring data is reliable, trusted, and ready to power today's most critical technologies, including AI, LLMs, Analytics, and DataOps.
- Becoming part of the team that coined the term "Data Observability"!
Visa & Work Authorization
- Delivered as a SaaS solution, Acceldata is trusted by leading global organizations such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Oracle, PubMatic, PhonePe (Walmart), Hershey's, Dun & Bradstreet, and many more.
Apply directly at acceldata →Create a free account for alerts like thisView acceldata immigration profile
This listing is sourced directly from acceldata's careers page and normalized into a canonical job model.