A consulting or advisory background
Experience as an early security hire at a startup, particularly as the first or early security engineer
Experience securing consumer-facing or patient-facing AI products and applications
Contributions to open-source security projects, security tooling, and/or published security research
CISSP, OSCP, AWS Security Specialty, or similar certifications
2+ years of Security Engineering experience, with significant depth in either application security or infrastructure/cloud security and working proficiency in the other
Strong AWS and cloud security expertise, including IAM, identity management (SSO, SAML, SCIM), network security, secrets management, and cloud-native security tooling
Hands-on software engineering experience with the ability to read, review, and ship production code in Ruby and/or TypeScript. Python experience is a plus
Experience implementing technical controls in regulated environments such as HIPAA, SOC 2, HITRUST, PCI, or similar compliance frameworks
Demonstrated fluency with AI and LLM-powered tools, including practical experience incorporating them into day-to-day engineering workflows
Strong understanding of AI security concepts, including prompt injection, AI agent guardrails, data governance, PHI handling, and AI vendor risk
Builder mindset with a bias toward execution, ownership, and practical problem-solving
Ownership mindset – own driving results for the mission, business, and customer experience
Strong collaboration skills with thought partners from engineering, product, and legal
Strong desire to work in an early stage startup environment that is fast paced, complex, and has minimal barriers to make decisions (no “red tape”)
Passion for helping individuals experiencing complex chronic needs such as homelessness, severe mental illness, and substance use disorder