[Hiring] Senior Security Engineer @Jasper

Role Description

As a Senior Security Engineer at Jasper, you'll be the first true generalist on our Security Engineering team—someone equally comfortable securing and building AI agents and platforms as they are automating GRC controls or hardening cloud infrastructure. This role sits at the center of a fast-moving security function, partnering closely with Engineering, GRC, Product, and IT to protect the systems and AI products Jasper builds.

You'll set technical direction on AI security while still being hands-on across infrastructure, product security, and compliance engineering—a true jack-of-all-trades role that flexes across the full security spectrum as priorities shift. This is a force-multiplier position on a small team where your work will have outsized impact on how Jasper builds securely at scale.

This fully remote role reports to the Director, Security and is open to candidates located anywhere in the US.

What you will do at Jasper

• Lead the security design, implementation, and controls for Jasper’s AI infrastructure and AI-powered internal workflows.
• Own threat modeling for AI-specific risks and design controls for validating, logging, and auditing AI outputs.
• Build security tooling and automated checks that let internal teams adopt AI capabilities without slowing down.
• Collaborate, design, and influence the direction of the Security program at Jasper.
• Work with the GRC team to automate evidence collection, control monitoring, and compliance workflows.
• Strengthen infrastructure security across GCP and AWS.
• Own and improve GitHub security controls.
• Operate and tune Wiz (or equivalent CSPM/CNAPP tooling) to identify and remediate cloud misconfigurations and vulnerabilities.
• Use AI tools in your workflow and help the broader security and engineering org do the same safely.

Qualifications

• AI fluency—a working understanding of core AI concepts applied in the context of security engineering.
• 8+ years in security engineering, with hands-on experience across at least two of: AI/ML security, cloud infrastructure security, and/or GRC compliance engineering.
• Practical experience securing AI systems, including familiarity with common AI-specific threats.
• Deep understanding of security principles, best practices, and common vulnerabilities.
• A proactive mindset, with the ability to identify, prioritize, and address security gaps or inefficiencies.
• Expertise and curiosity about using frontier models and agents to solve security challenges.
• Demonstrated ability to build security programs, processes, or standards from scratch.
• Strong working knowledge of GCP and AWS security services and IAM models.
• Experience with GitHub security controls and secure software supply chain practices.
• Hands-on experience with Wiz or a comparable CSPM/CNAPP platform.
• Comfort building automation and tooling rather than relying solely on point-and-click console work.
• Strong cross-functional collaborator who can communicate security and compliance tradeoffs clearly.
• Direct experience building or securing AI agent frameworks or internal AI platforms.
• Experience supporting SOC 2 / ISO 27001 or similar compliance frameworks.
• Background in detection engineering or building internal security tooling.
• Experience being an early or first specialized hire on a small security team.
• Experience working in AI infrastructure platforms.

Compensation Range

The expected base salary range offered for this role is $174,250 - $205,000. Compensation may vary based on relevant experience, skills, competencies, and certifications.

Benefits

• Comprehensive Health, Dental, and Vision coverage beginning on the first day for employees and their families.
• 401(k) program with up to 2% company matching.
• Equity grant participation.
• Flexible PTO with a FlexExperience budget ($900 annually).
• FlexWellness program ($1,800 annually).
• Generous budget for home office set up.
• $1,500 annual learning and development stipend.
• 16 weeks of paid parental leave.