Senior Product Security Engineer

The Role

We're seeking a Senior Product Security Engineer who is passionate about building and scaling robust security programs in an AI-forward engineering environment. Reporting to our Head of IT Operations & Information Security, you'll lead efforts to mature our product security initiatives at a pivotal moment of product expansion, ensuring security keeps pace as our developers increasingly leverage AI in their workflows.

A core part of this role is using AI and automation as force multipliers, building security tooling, guardrails, and review processes that scale to match the velocity of AI-assisted development across our engineering org.

This position can be based remotely in the United States.

Key Responsibilities

• Product Security Leadership: Partner with product and engineering teams to integrate security throughout the development lifecycle and drive security initiatives across our stack.
• AI-Augmented Security: Leverage AI and automation to scale product security coverage, matching the pace of AI-assisted development across engineering.
• Security Architecture: Design and implement security controls and architecture that scale with our growing product portfolio.
• Threat Modeling & Risk Assessment: Conduct comprehensive security reviews and threat modeling to identify and mitigate potential vulnerabilities, including risks introduced by AI-generated code and AI-powered features.
• Vulnerability Management: Contribute to our vulnerability management program, including triaging bug bounty and vulnerability disclosure reports and driving remediation efforts.
• Security Automation: Develop and implement automated security testing, monitoring, and response capabilities, using Tines itself, plus AI-driven tooling, to eliminate manual toil.
• Security Incident Response: Serve as an incident responder during security events and lead post-incident reviews.
• Security Education: Champion security awareness and provide technical guidance to engineering teams, including best practices for secure AI-assisted development.

Qualifications

• 8+ years of experience in application or product security roles, with demonstrated expertise in securing cloud-native applications.
• Strong understanding of modern application security principles, OWASP Top 10, and secure SDLC practices.
• Experience leveraging AI and automation to scale security programs (e.g., LLM-assisted code review, automated triage, agentic security workflows).
• Experience with cloud security (AWS preferred) and securing containerized environments (Docker, Kubernetes).
• Proficiency in modern programming languages; experience with Ruby, TypeScript, and/or Rust is highly desirable.
• Knowledge of security testing methodologies and tools (SAST, DAST, SCA).
• Experience with CI/CD security integration and DevSecOps practices.
• Strong incident response skills and experience participating in on-call rotations.
• Excellent communication skills with ability to translate complex security concepts to diverse audiences.
• Self-motivated with exceptional analytical thinking and problem-solving abilities.

Nice to Haves

• Experience securing AI/ML systems and LLM-powered features (prompt injection, model abuse, data leakage, agentic system risks).
• Familiarity with LLM red-teaming, AI threat modeling frameworks (e.g., MITRE ATLAS, OWASP LLM Top 10), and emerging AI security standards.
• Hands-on experience building agentic or automated security workflows (using Tines or similar platforms).
• Contributions to open-source security tooling or active participation in the security research community (CVEs, conference talks, published research).
• Experience designing secure-by-default developer platforms, paved roads, or golden paths for engineering teams.
• Background in bug bounty triage at scale, or running a public VDP/bug bounty program.
• Familiarity with multi-tenant SaaS security challenges (tenant isolation, authz models, data segregation).
• Experience supporting FedRAMP (Moderate/High) and/or DoD Impact Level (IL4/IL5/IL6) environments.
• Prior experience at a high-growth startup launching new products or expanding into new product lines.

Target Annual Compensation: $218-$235k + equity

Applicants for this opportunity must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.