Senior Enterprise Security Architect

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior Enterprise Security Architect based in the United States .

The Senior Enterprise Security Architect will serve as a trusted technical advisor, helping enterprise customers strengthen their API, AI, and agent security strategies. This customer-facing role combines cybersecurity expertise, solution architecture, and technical pre-sales leadership to address evolving security challenges.

You will guide customers through discovery, solution design, and demonstrations, translating complex technologies into practical business and security outcomes. As a subject matter expert in emerging AI and agent security, you will influence customer strategies while supporting internal teams and partners.

Working closely with Sales, Product Management, and Engineering, you will help align solutions with customer needs and continuously improve the customer experience. This is an opportunity to shape security transformation initiatives and contribute to the safe adoption of advanced digital and AI-driven technologies.

Accountabilities

Own the technical sales lifecycle, including customer discovery, solution architecture, design, and delivery of compelling product demonstrations.

Advise enterprise customers on API security, agent security, AI runtime protection, threat mitigation, and security posture management.

Translate complex technical concepts into clear, compelling use cases for a range of audiences, from engineering teams to C-level executives.

Serve as a subject matter expert on AI security for customers, internal stakeholders, and strategic partners.

Take a consultative approach to understanding customer challenges and recommending solutions that support next-generation security transformation.

Act as a primary technical point of contact for customers, helping ensure successful solution adoption, satisfaction, and long-term value.

Gather and analyze customer requirements, collaborating with Product Management and Engineering to align solutions with business and technical needs.

Present AI security strategies, industry best practices, and technical insights through conferences, webinars, and customer workshops.

Partner with Sales, Product Management, and Engineering teams to strengthen collaboration, support business objectives, and continuously enhance the customer experience.

Stay informed about emerging cybersecurity technologies, AI-driven workflows, and evolving enterprise security requirements.

Requirements

At least 12 years of experience in technical pre-sales, solution architecture, or a related role within cybersecurity, API security, or adjacent technology fields.

Demonstrated expertise in agentic security, API security, and AI runtime security.

Strong knowledge of network firewalls, Web Application Firewalls (WAF), Cloud-Native Application Protection Platforms (CNAPP), and Security Operations (SecOps) tools such as SIEM and SOAR.

Solid understanding of internet technologies and protocols, including TCP/IP, DNS, HTTP/HTTPS, SSL/TLS, and RESTful APIs.

Familiarity with major cloud infrastructure platforms, including AWS, Microsoft Azure, and Google Cloud Platform (GCP), as well as cloud-native architectures.

Experience deploying and managing Kubernetes clusters and containerized applications.

Strong technical presentation and communication skills, with the ability to explain sophisticated security concepts to both technical and non-technical audiences.

Excellent written and spoken English proficiency.

Ability to build trusted customer relationships, understand complex requirements, and develop practical, consultative solutions.

Strong collaboration skills and the ability to work effectively with sales, product, engineering, and customer-facing teams.

Benefits

Compensation: Annual base salary range of $119,600–$215,400 USD for U.S.-based candidates, depending on relevant experience, skills, certifications, and location.

Additional compensation: Potential eligibility for annual bonuses or incentive compensation, equity awards, and an Employee Stock Purchase Plan (ESPP).

Healthcare and wellness: Comprehensive healthcare coverage and resources supporting physical, mental, and financial well-being.

Retirement savings: Access to a 401(k) savings plan.

Time off: Company holidays, paid time off, and sick leave.

Family support: Family-friendly benefits, including parental leave.

Employee assistance: Access to an Employee Assistance Program with resources for mental and financial wellness.

Flexible work arrangements: FlexBase program supporting work from home, office-based work, or a combination of both, depending on role requirements.

Professional impact: Opportunities to work with advanced cloud, edge, cybersecurity, and AI technologies while collaborating with experienced technical and business teams.

How Jobgether works

• We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
• We appreciate your interest and wish you the best!
• Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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