Enterprise Cybersecurity AE | Remote (TOLA)

Dataminr; Clifton (TX); Remote; USD 231,000 - 340,000; Full time

Benefits offered by this job

Company equity

Remote work option

Generous PTO

Job summary

Dataminr is seeking an Enterprise Account Executive to sell our cybersecurity solutions to high-profile named accounts in the TOLA territory. This US-based remote role will cover TOLA (preferably Texas) with travel within the territory.

You will drive campaigns, build pipelines, and establish strong executive relationships while exceeding quotas. You will engage in complex enterprise sales, leverage MEDDPICC, and collaborate with cross-functional teams to refine solutions for real-time AI-driven

Qualifications

• Minimum 8 years full sales cycle experience selling enterprise cybersecurity technology solutions to clients in the TOLA market.
• Hunter by nature with multi-channel prospecting (cold calling, LinkedIn, partners).
• Built relationships with senior cyber buyers and leverage existing networks.

Responsibilities

• Meet sales quota and drive success with a robust sales process.
• Build a pipeline through proactive prospecting and networking with partners.
• Develop deep customer insights into use cases, budgets, and decision processes.
• Master competitive analysis to position Dataminr effectively.
• Provide feedback to Product/Engineering to drive improvements.

Skills

Enterprise cybersecurity sales

TOLA territory

Prospecting multi-channel

Senior cyber buyers

MEDDPICC methodology

Account planning

Sales quota achievement

Relationship building

Job description

Dataminr is seeking an Enterprise Account Executive to sell our cybersecurity solutions to high-profile named accounts in the TOLA territory. This US-based remote role will cover TOLA (preferably Texas) with travel within the territory.

You will drive campaigns, build pipelines, and establish strong executive relationships while exceeding quotas. You will engage in complex enterprise sales, leverage MEDDPICC, and collaborate with cross-functional teams to refine solutions for real-time AI-driven