Remote Mid Ai-security-privacy Jobs

Requirements

• Providing technical guidance and support to Sales Engineers
• Developing and maintaining customer-facing integrations
• Managing integrations deployment lifecycles across environments
• Provisioning and deploying hybrid infrastructure for customer environments
• Technical consultations for customers on the best way to utilize and integrate the ZS AI Security platform

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off

Skills

Requirements

• 3–5 years of experience in cybersecurity
• Experience conducting risk assessments, threat modeling, or security architecture reviews
• Working knowledge of AI/ML concepts and common security risks in AI systems
• Experience with cloud platforms (AWS, Azure, GCP) and modern engineering practices (CI/CD, containers)
• Familiarity with security frameworks such as NIST, ISO, or CIS
• Strong communication skills with the ability to explain technical concepts to diverse stakeholders
• Proven ability to work independently and manage components of client engagements

Benefits

• 401k Matching
• Employee Assistance Program
• Flexible Hours
• Gym Membership
• Health Insurance
• Paid Time Off
• Parental Leave
• Profit Sharing

Skills

Requirements

• Advise on and assess the security posture of AI/ML systems
• Lead threat modeling exercises specific to AI workloads
• Advise internal teams on securely integrating SaaS AI services and APIs
• Evaluate and recommend controls for data ingestion pipelines
• Serve as a trusted security advisor bridging business stakeholders
• Stay Current on AI Threat Landscape

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Remote Work
• Training Budget

Skills

Requirements

• Deep academic or practical experience in AI frontier harms, such as cyber, autonomy, and loss of control of AI systems.
• Ability to emulate adversarial hacking on Microsoft’s AI models, systems, products, and features.
• Experience with AI Safety, Security, and Product Development teams.
• Ability to run operations that aim to find safety and security risks before they happen.
• Strong understanding of AI/ML concepts and their applications.
• Excellent problem-solving skills and ability to work in a fast-paced environment.
• Ability to communicate complex technical information to non-technical stakeholders.

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off

Skills

Requirements

• Bachelor’s degree in Computer Science/ Cybersecurity/ Engineering (or equivalent experience)
• Strong knowledge of web/app security fundamentals (e.g., OWASP Top 10 concepts)
• Familiarity with Git and modern development workflows (PRs, CI/CD)
• Strong proficiency in at least one programming language (Python, JavaScript/TypeScript, etc.)
• Experience with writing unit tests, producing user documentation, and informative demos
• Hands-on experience with AWS/Azure, including security fundamentals (e.g., IAM, networking, logging/monitoring) and supporting security in cloud-based environments
• Experience using agentic AI systems in engineering/security workflows, including integrating AI agents with MCP servers to enable assisted/automated remediation (or similar)
• Ability to operate effectively in a high-performing, collaborative environment, working closely with development and partner teams across the organization

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off

Skills