Jobgether
Senior Enterprise Security Architect
- Compensation
- $119.6K–$215.4K / yr
- From job posting
- Location
- US
- Arrangement
- Remote
- Employment type
- Full-time
- Level
- Senior
- Posted
- 12 November 2026 (3 days ago)
Checked 2 days agoApplications go to the employer, never to RoleSprint
About this role
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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Work location
- US
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About this listing
Published on Lever under the board identifier Jobgether, which is the name the employer’s own job board carries. RoleSprint has not verified the company’s registered or trading name, so it is shown exactly as published rather than tidied up.
RoleSprint is not the employer and not a recruiter. Applications are made on the employer’s own site and never reach us; what RoleSprint does is help you decide whether a role is worth your time and prepare for it if it is.
Published 12 November 2026, last checked 2 days ago. A posting stops being advertised here 90 days after the employer published it, and one the employer takes down is marked closed rather than quietly removed.