Account Executive, SLED
Account Executive responsible for selling identity verification and fraud solutions to State, Local, and Education (SLED) agencies. Owns full sales cycle including outreach, relationship building, procurement navigation, and post-sale success. Requires 5+ years sales experience with track record in government/higher-ed.
About the job
Responsibilities
- Proactively reach out to prospective partners to discover SLED Agencies that we can serve in your geographic region
- Own the sales process by leading meetings, building relationships, marshaling SentiLink resources to deliver solutions, preparing analytical business cases, and closing legal agreements
- Navigate complex organizations and procurement cycles to align with decision makers and build champions within prospects and partners
- Continue to drive value to our partners post-close by owning relationships and helping our partners be successful with our solutions
- Represent SentiLink in accordance with our corporate values at all times
Requirements
- 5+ years of successful experience in sales and business development
- Track record of successfully employing a top-down sales motion for complex technical products
- Experience selling into State Government, Local Government, and Higher Education
- Familiarity with identity verification or other fraud detection solutions (or a strong willingness to learn)
- Self-motivated, detail-oriented, with a big appetite for winning and a hustling mentality
- Experience in fraud, identity verification, or another analytical discipline in program integrity is a plus
- Candidates must be legally authorized to work in the United States and must live in the United States
Compensation
$300,000-$350,000/year OTE + equity + benefits
Perks
- Employer paid group health insurance for you and your dependents
- 401(k) plan with employer match
- Flexible paid time off
- Regular company-wide in-person events
- Home office stipend, and more!
Skills
Sales, Business Development, Government Sales, Complex Sales, Identity Verification, Fraud Detection
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