Senior AI Security Engineer

• Lead the security design for Panorama's shared AI infrastructure and AI-powered internal workflows, building the guardrails that govern how AI systems access, process, and handle sensitive data at every layer.
• Own threat modeling for AI-specific risks, including the attack surfaces that don't map cleanly onto traditional application security.
• Design controls for validating, logging, and auditing AI outputs in contexts where accuracy and data protection are non-negotiable.
• Build security tooling and automated checks that let internal teams adopt AI capabilities without slowing down.

• Build and maintain the process for reviewing external AI tools, APIs, and SaaS integrations before internal adoption, keeping criteria current as the vendor landscape evolves.
• Evaluate third-party AI services for data handling practices, privacy posture, and risk to sensitive data.
• Establish standards for how teams integrate external model providers and AI-powered tools, covering technical, privacy, and contractual requirements.

• Define and drive Panorama's approach to AI security governance, including the policies, standards, and decision-making processes we use to adopt AI responsibly.
• Work with security and engineering leadership to align AI governance with broader data protection and compliance obligations.
• Serve as the internal point of view on AI security risk, helping leadership understand tradeoffs and make informed decisions as we expand our AI capabilities.

Partnership and Enablement

• Work closely with the engineers and product leaders owning the internal AI platform to embed security into the platform itself.
• Partner with squads and teams adopting AI tooling to apply the right patterns early and avoid risks
• Translate security requirements into practical guidance the team can act on.
• Collaborate with IT on the identity, access, and device controls that intersect with AI systems and integrations.
• Serve as an active member of the security squad, keeping AI security integrated into Panorama's broader security approaches, standards, and decision-making.

• 5+ years of security engineering experience, with hands-on work building and securing production systems.
• Direct experience with AI systems security: LLM integrations, tool-using agents, retrieval pipelines, or comparable work.
• A genuine commitment to protecting student data and to the mission of serving students and educators.
• Experience evaluating or governing third-party AI tools and services, with an eye toward data privacy and vendor risk.
• Strong grounding in application and data security: threat modeling, access control, secrets management, and secure handling of sensitive data.
• Demonstrated ability to build security programs, processes, or standards from scratch rather than inheriting a mature playbook.
• Comfort operating in a space where the tools, risks, and best practices are still being defined, and a track record of bringing structure to ambiguous problems.
• A collaborative working style that brings teams along rather than gating them.

Nice to Have

• Familiarity with MCP or similar tool-use and integration patterns.
• Experience securing internal developer platforms or shared infrastructure.
• Knowledge of K-12 privacy requirements such as FERPA, COPPA, or state-level student data privacy laws.
• Experience with cloud security guardrails, posture management, and identity and access patterns.

Base Salary : The base salary range for this position is $170,000- $250,000 USD // Annually Our salary is just one component of Panorama’s competitive total rewards strategy that also includes annual bonuses or commission awards, equity awards, as well as other region-specific health and welfare benefits.

• 401K with an employer match
• Health, dental, vision, life insurance, and short-term and long-term disability coverage.
• Flexible spending account for health care and dependent care
• Wellness Reimbursement
• Work from Home Reimbursement
• Flexible vacation policy
• Parental leave program