Protect AI is shaping, defining, and innovating a new category within cybersecurity around the risk and security of AI/ML. Our ML Security Platform enables customers to see, know, and manage security risks to defend against unique AI security threats, and embrace MLSecOps for a safer AI-powered world. This includes a broad set of capabilities including AI supply chain security, Auditable Bill of Materials for AI, ML model scanning, signing, attestation and LLM Security.
Join our team to help us solve this critical need of protecting AI!
Protect AI is seeking a Security Assurance Engineer to join our growing team. In this role, you will serve as a critical bridge between our security organization, product engineering, and customers, managing security assessments and maintaining documentation that demonstrates our robust security posture. This role combines technical understanding, clear communication, and project management skills to ensure we meet customer security requirements effectively. In this role, you will directly influence our ability to close deals efficiently by streamlining the security assessment process and maintaining clear, accurate security documentation. You will also play a key role in building a security-aware culture across the organization through your enablement efforts.
Customer Security Assessments:
Lead the response process, completing customer security assessments and questionnaires as part of the sales cycle, ensuring timely responses within defined SLAs
Build and maintain an internal knowledge base of standard security responses, to streamline answering customer inquiries
Security Collateral & Documentation:
Maintaining Protect AI’s customer-facing security collateral (e.g. the Customer Assurance Package)
Regularly review security documentation and meet with product management and engineering to maintain product security feature list source of truth
Internal Enablement:
Providing security enablement and training for Protect AI’s internal teams – for example, creating educational materials and presenting to Sales, Solutions & Customer Success teams
Tracking and analyzing patterns in security concerns to identify potential areas for process improvement or additional documentation needs
Escalating Concerns:
Proactively identifying and escalating any significant or heightened customer security concerns to Security management as needed
Customer Meeting Support
Support sales and customer success in key customer meetings to provide detailed information on the Protect AI security program and Products/Service
Maintain up to date knowledge of Protect AI's security program and product security features to share with customers and to highlight our Secure by Design commitment
2-4 years of experience in security compliance, GRC, or related security roles
Background in customer-facing roles or sales support positions
Direct experience responding to customer security questionnaires and assessments (SIGs, RFPs, VSAs, security review processes)
Familiarity with common security frameworks and standards (SOC 2, ISO 27001, NIST, etc.)
Experience maintaining and organizing security documentation
Background in creating internal training materials or delivering security awareness training
Experience using GRC platforms or security assessment tools (Vanta, OneTrust, SecurityScorecard, etc.)
Knowledge of cloud security concepts and controls (AWS, Azure, GCP)
Excellent rapport with customers
Experience responding to security questionnaires and assessments in a B2B environment
Deep understanding of requirements for a security program and product security features
Ability to translate complex security concepts for various audiences
Strong understanding of security frameworks and compliance standards
Excellent written and verbal communication skills
Strong project management and organizational skills
Experience with security documentation and knowledge base management
Familiarity with Vanta (or a similar tool) a plus
An exciting, collaborative work environment in a fast-growing startup.
Competitive salary and benefits package.
A culture that values innovation, accountability, and teamwork.
Opportunities to contribute to our open source projects with thousands of Github stars.
Work with a team of talented and well-accomplished peers from AWS, Microsoft, Google, and more.
Work with best in class tools — M4 Macbook Pro, 34” Monitor, modern tech stack and high quality
The salary range for this role is $98,300 to $193,000 per year.
Yearly based
Seattle