About Interface.ai

interface.ai is redefining how financial institutions serve their members through agentic AI and conversational AI — and we're doing it in production, at scale, with real outcomes. $30M in Series A funding. Cash-flow positive. A mission that matters: democratizing financial wellness for every American, not just the ones who can afford a private banker.

About The Role

As the Head of of Security & Privacy Engineering, you will report to the VP of Engineering and play a pivotal role in defining and executing interface.ai’s enterprise-wide security and privacy strategy.You will build and lead a program that ensures our AI products and cloud infrastructure are secure, compliant, and resilient, fostering customer trust and meeting regulatory requirements. This is a strategic and hands-on leadership role influencing technology, governance, and culture across the organization. You will lead the development of a secure, compliant, and resilient environment for our AI products and cloud infrastructure — ensuring customer trust and adherence to industry regulations. This is both a strategic and hands-on leadership role that will influence technology, governance, and culture across the organization.

You will be responsible for leading the company’s cybersecurity, privacy, and compliance programs; establishing strong internal controls; managing security risk; and driving security-by-design practices across all engineering and AI initiatives.

What you will do:

As a Head of Security & Privacy Engineering you will be reporting to the VP of Engineering and will be responsible for:

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 GLBA, FFIEC, SOC 2, and other applicable frameworks.
Champion privacy-by-design principles across product and AI initiatives.
Lead security and privacy initiatives for AI-powered products, ensuring safe deployment of generative AI, LLM-driven systems, and AI workflows through secure architecture, risk mitigation, and responsible AI 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 Dev SecOps 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.

Requirements

12+ years of cybersecurity leadership experience, ideally within financial services, banking, fintech, or regulated environments.
AI & Generative AI Security Mindset: Experience securing AI-driven platforms, LLM workflows, or AI-powered products, including awareness of emerging AI risks such as prompt injection, data leakage, and model misuse
Cloud Security Expertise: Strong experience securing cloud-native infrastructure, particularly AWS, including identity management, network security, container security, and infrastructure protection
Security Architecture & DevSecOps: Ability to embed security-by-design practices across distributed systems, APIs, microservices, and CI/CD pipelines
Data Security & Privacy Engineering: Deep knowledge of data protection, encryption, identity and access management (IAM), and threat modeling, especially for sensitive financial data
Regulatory & Compliance Leadership: Strong understanding of GLBA, FFIEC, SOC 2, and enterprise security frameworks, with experience building compliant security programs
Executive Leadership & Communication: 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, Computer Science or related field.

Preferred:

Master’s degree in Information Security, Computer Science, or related field.
Experience in a startup or high-growth SaaS/AI company.
Certifications such as CISSP, CISM, CCSP, or ISO 27001 Lead Implementer.

Why Join Us:

Shape the security, privacy, and trust strategy for an industry-defining platform.
Drive innovation in cloud, AI, and data privacy while ensuring compliance and trust at scale.
Work in a high-impact, mission-driven environment where your leadership directly influences millions of banking customers.

Benefits:

💡 100% paid health, dental & vision care
💰 401(k) & financial wellness perks
🌴 Discretionary PTO + paid parental leave
🧠 Mental health, wellness & family benefits
🚀 A mission-driven team shaping the future of banking

WHY INTERFACE.AI

Series A

$30M raised
Cash-flow positive — we're not burning cash hoping the product works. It works. Customers are live, revenue is real, and the mission — bringing intelligent financial services to everyday Americans — is one you can explain to your family without a slide deck.

You'll work directly with Bruce Kim (Co-Founder) and Srinivas Njay (CEO) — founders who understand engineering deeply and give their VP the authority and trust to actually run the global function. We offer top-of-market base, significant early-stage equity, comprehensive benefits, and a modern SF office that's worth showing up to.

The team we're building is small enough that your judgment shapes everything. The market we're in is large enough that what you build will matter for a long time.

Compensation Range: $260K - $350K

interface.ai

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