Remote Global Solutions Engineer: AI Security & MSSP

Ladders

United States

Remote

USD 142,000 - 237,000

Full time

10 hours ago
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Benefits offered by this job

Comprehensive benefits package
Sales commissions
Remote work flexibility
Influence in shaping managed security

Job summary

Ladders, a leader in Information Technology, seeks a Global Solutions Engineer for its MSSP program, serving as a strategic technical partner to shape design and readiness for partner success, with emphasis on AI security.

Location is Remote - US-based candidates. You will lead discovery workshops, advise on service architecture, and create reusable assets for scale, while representing the company in customer briefings and industry forums.

Qualifications

  • 8+ years in Solutions Engineering or similar cybersecurity role.
  • Experience with MSSP sales & service architecture.
  • Strong knowledge of MDR, XDR, and SIEM.
  • Deep understanding of MSSP business and technical models.
  • Strong grasp of AI technologies and associated security risks.
  • Hands-on experience with cybersecurity products and tools.
  • Ability to work with APIs, cloud platforms, and various operating environments.

Responsibilities

  • Serve as the primary Solutions Engineer for the company's global MSSP program.
  • Lead technical discovery and solution design workshops with partners.
  • Advise partners on service architecture and operational readiness.
  • Act as a subject matter expert for the company's AI security solutions.
  • Build hands‑on AI security demos and lab environments.
  • Create reusable technical assets and best practices for the field.
  • Represent the organization in customer briefings and industry forums.

Skills

Solutions Eng
MSSP sales
AI security
APIs & cloud
Security operations

Job description

Ladders, a leader in Information Technology, seeks a Global Solutions Engineer for its MSSP program, serving as a strategic technical partner to shape design and readiness for partner success, with emphasis on AI security.

Location is Remote - US-based candidates. You will lead discovery workshops, advise on service architecture, and create reusable assets for scale, while representing the company in customer briefings and industry forums.

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