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interface.ai

AI-driven virtual assistants for banking

Head of Security & Privacy Engineering

Security Governance, Risk & ComplianceConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$260k - $350k /yr

About the Job

Requirements

  • At least 12 years of cybersecurity leadership experience, ideally in financial services, banking, fintech, or regulated environments.
  • Experience securing AI-driven platforms, large language model workflows, or AI-powered products, including awareness of prompt injection, data leakage, and model misuse risks.
  • Strong experience securing cloud-native infrastructure, particularly Amazon Web Services, including identity management, network security, container security, and infrastructure protection.
  • Ability to embed security-by-design practices across distributed systems, application programming interfaces, microservices, and continuous integration and continuous delivery pipelines.
  • Deep knowledge of data protection, encryption, identity and access management, and threat modeling, especially for sensitive financial data.
  • Strong understanding of the Gramm-Leach-Bliley Act, Federal Financial Institutions Examination Council requirements, Service Organization Control 2, and enterprise security frameworks, with experience building compliant security programs.
  • Proven ability to lead security programs, communicate risk to executive stakeholders, and build high-performing security and privacy engineering teams.
  • Bachelor's degree in Information Security or Computer Science, or a related field.

Responsibilities

  • Own all aspects of security, excluding physical security, privacy, and compliance across the company.
  • Develop and enforce security and privacy policies, procedures, and standards, ensuring organization-wide compliance.
  • Lead cybersecurity incident response and continuous risk assessment programs.
  • Partner with the executive team to align security strategy with business goals and risk tolerance.
  • Oversee compliance with the Gramm-Leach-Bliley Act, Federal Financial Institutions Examination Council requirements, Service Organization Control 2, and other applicable frameworks.
  • Champion privacy-by-design principles across product and artificial intelligence initiatives.
  • Lead security and privacy initiatives for artificial intelligence-powered products, ensuring safe deployment of generative artificial intelligence, large language model-driven systems, and artificial intelligence workflows through secure architecture, risk mitigation, and responsible artificial intelligence governance.
  • Partner with Sales, Legal, Compliance, and Product teams to address security inquiries and due diligence requests.
  • Deliver executive-level security and risk reports to leadership and the board.
  • Collaborate with Engineering and Cloud Infrastructure teams to embed development, security, and operations practices and secure architecture practices.
  • Build, mentor, and grow a high-performing team of security and privacy engineers.
  • Foster a culture of proactive risk management, innovation, and continuous improvement.

Desired Qualifications

  • A master's degree in Information Security or Computer Science, or a related field.
  • Experience in a startup or high-growth software-as-a-service or artificial intelligence company.
  • Certifications such as Certified Information Systems Security Professional, Certified Information Security Manager, Certified Cloud Security Professional, or ISO 27001 Lead Implementer.

About the Company

interface.ai

AI-driven virtual assistants for banking

Interface.ai provides an AI-powered platform that delivers intelligent virtual assistants for banks and credit unions, available across voice, chat, and mobile. The system is pre-trained on over 60 banking-specific use cases and integrates with core banking, CRM, and LOS systems, featuring Agentic Voice AI, Agentic Chat AI, and Agentic Employee AI, with device biometrics and real-time monitoring for security. It differentiates itself by serving community banks and credit unions with out‑of‑the‑box banking AI and end-to-end automation across channels, using a performance-based pricing model. Its goal is to improve operational efficiency, boost customer self-service, and help financial institutions scale AI-powered service.

Company size
51-200
Company stage
Early VC
Total funding
$80M
Headquarters
San Francisco, CA
Founded
2018

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