Senior AI Security Solutions Architect — Remote

Ballistic Ventures

United States

Remote

USD 180,000 - 230,000

Full time

12 days ago
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Benefits offered by this job

Medical, dental, vision
Home office reimbursement
Disability insurance
Life and accident insurance
401(k) retirement savings
Unlimited PTO
Global teams
Equity options

Job summary

Noma Security is seeking a Senior Customer Solutions Architect to own strategic post-sales relationships with enterprise customers and guide AI security adoption. You’ll partner with Customer Success Engineers, Security teams, and executives to map customer objectives to Noma capabilities, drive value, and ensure successful deployment across AI lifecycles.

This role blends technical leadership with consultative strategy, requiring deep cybersecurity expertise and the ability to translate complex

Qualifications

  • 5+ years in customer-facing cybersecurity roles or equivalent.
  • Proven ability to translate security concepts for executives.
  • Strong understanding of AI technologies, governance, and risk.

Responsibilities

  • Own post-sales relationships for enterprise customers and drive adoption.
  • Understand customer AI environments and provide practical AI security guidance.
  • Link customer outcomes to Noma capabilities and demonstrate measurable value.
  • Collaborate with Sales to identify expansion opportunities and stakeholders.
  • Coordinate across Product, Research, Engineering, Security, and Support teams.

Skills

Solutions Architecture
Customer Success
Enterprise security
AI security
Relationship building

Education

Bachelor's degree in cybersecurity or related

Tools

AI platforms
Security tooling

Job description

Noma Security is seeking a Senior Customer Solutions Architect to own strategic post-sales relationships with enterprise customers and guide AI security adoption. You’ll partner with Customer Success Engineers, Security teams, and executives to map customer objectives to Noma capabilities, drive value, and ensure successful deployment across AI lifecycles.

This role blends technical leadership with consultative strategy, requiring deep cybersecurity expertise and the ability to translate complex

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