Senior Solutions Engineer (Cybersecurity)

Location: Fully remote, field-based role covering the Central region; willingness to travel 50%+ across the Central region is required.

Company

hirify.global is an AI cybersecurity company building an agentic AI platform that continuously contextualizes, assesses, reasons about, and executes security work for enterprise customers.

What you will do

• Own the full pre-sales technical motion for enterprise opportunities from first call through signed agreement, partnering with the regional Account Executive.
• Design and run structured, outcome-driven proofs of value measured against customer-defined business outcomes.
• Lead technical discovery of customer environments, threat models, and existing security stacks.
• Present and demonstrate the platform to security architects, SOC leaders, CISOs, and other technical and executive audiences.
• Build trusted-advisor relationships with Global 2000 and Fortune 500 security teams.
• Represent hirify.global at industry events and customer briefings while bringing field intelligence to Product and Engineering.

Requirements

• 7+ years of enterprise security experience in solutions engineering, systems engineering, or pre-sales.
• Broad enterprise security knowledge and the ability to connect technical outcomes to business value.
• Proven experience running structured, outcome-driven POVs for Global 2000 or Fortune 500 accounts.
• Experience selling to organizations with 10,000+ employees and working with security platform products rather than point solutions.
• Deep experience covering the Central region with established territory relationships.
• Startup experience introducing new category-defining technology and willingness to travel 50%+ across the Central region.

Nice to have

• Background in detection and response, vulnerability management, exposure management, application security, security operations, or asset intelligence.
• Experience with MEDDICC, MEDDPICC, Force Management, Challenger, or a similar enterprise sales methodology.
• Familiarity with AI/ML security concepts or AI-native platforms.
• Experience building or refining a POV framework or SE playbook.

Culture & Benefits

• Fully remote, field-based work with customer and industry event travel.
• Opportunity to help shape the developing Solutions Engineering function.
• Competitive salary, equity options, and a supportive work environment.
• Work with an experienced founding team and a frontier AI applied research group.