Job Title

Senior Product Security Engineer (AI/ML) British Columbia Greenhouse is hiring to make every company great at hiring. You will join a team that collaborates purposefully, fosters inclusivity, and communicates with transparency and accountability so we can help companies measurably improve the way they hire. Join us to do the best work of your career, solving meaningful problems with remarkable teams. Greenhouse is looking for a Senior Product Security Engineer (AI/ML) to join our team. Security at Greenhouse is foundational to our success and is critical for building and maintaining user and customer trust. From influencing how we write software, deploy infrastructure, and make architectural decisions, security is a major focus here at Greenhouse. We are excited to strengthen our program with the addition of a Product Security Engineer with AI security expertise. You will serve as the teams Subject Matter Expert (SME) on AI security engagements while contributing to our broader security engineering goals. You will partner with our engineers to improve security best practices across our agile SDLC, focusing on securing our emerging AI and Machine Learning features. Who will love this job An Entrepreneurial Problem-Solver - Proactively stay current on AI/ML trends and identify ways to harden our systems before risks manifest A Pragmatic Partner - Balance business speed with security, enabling innovation and supporting development velocity An Independent Driver - Demonstrate a high bias for action and comfort working independently A Generous Collaborator - Listen well and work effectively with diverse audiences, from legal counsel to infrastructure engineers A Clear Communicator - Translate complex technical concepts into real-world business impact through writing, documentation, or presentations What youll do Act as the primary advisor for securing AI/ML workflows, conduct threat modeling for AI product features, and define guardrails for Large Language Model (LLM) usage Advise and review on agentic AI usage across the R&D department Perform security testing and source code review of applications and underlying platforms for both AI and non-AI systems Help upskill the wider security and engineering teams on AI security fundamentals and common threats Partner with compliance and legal teams on AI governance decisions and processes Act as a security partner, building and maintaining relationships with product and engineering teams to integrate security into the development process Embed security principles and controls to achieve a secure-by-default posture Secure modern technology stacks including Kubernetes, Docker, AWS, and CI/CD tooling Participate in the security engineering on-call rotation to triage and respond to urgent security alerts outside of standard business hours when necessary You should have Practical experience securing model training and inference pipelines (specifically ARC and MLFlow) and securing AI Gateways Professional experience as a developer releasing production code with modern workflows like Agile, GitOps, and CI/CD Hands-on experience using modern AI development tools and interacting with OpenAI/Gemini APIs A strong foundation in AWS core services, Kubernetes, Linux systems, and networking principles Expert-level knowledge of web and AI/ML application security topics (e.g. OWASP Web, LLM, Agent) Exposure to AI compliance frameworks (e.g. ISO42001) Experience with architecture reviews, auth protocol flows related to SAML, OAuth2, and OIDC Deep understanding of the AI ecosystem including design principles, threat models, and appropriate tools Ability to perform structured and ad-hoc threat models yielding practical, code-level recommendations balancing security with development speed Experience working with Ruby on Rails is a plus Your unique talents and transferable skills are valued; if you don''''t meet 100% of the qualifications, we still encourage you to apply Applicants must be legally eligible to work in Canada as of the start date. We are unable to support sponsorship at this time. For purposes of processing or administering your employment relationship, personal information that you provide may be transferred to and accessed by an affiliate in the United States or elsewhere, or by agents and contractors that provide services to the company. The anticipated closing date for this role is February 2, 2025. The national pay range for this role is $155,600 - $233,400 CAD. Compensation may include stock options, bonuses, and merit increases. Some roles may include sales commissions as per the plan. The company is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, disability, or any other protected characteristic. If you need assistance during the application process, contact [email protected]. Greenhouse uses AI in its interviewing process to assist in screening and assessment. Our policy is to ensure alignment with current legislation and to protect against potential biases in our processes. Who we are Greenhouse is a remote-first company with offices in New York City and Ireland. We aim to hire the right person for the job through a performance and feedback program, with a culture that values diversity and inclusion. Greenhouse Software is an equal opportunity employer. If you require a reasonable accommodation or have questions about accessibility, please contact [email protected]. Emails about job opportunities are offered by confirmed Greenhouse employees with @greenhouse.io addresses. Be cautious of phishing and verify communications on our site. Apply for this job * indicates a required field First Name * Last Name * Preferred First Name Email * Phone Country * Location (City) * Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile What is your preferred first name? If your legal first name and preferred first name are the same, please input your legal first name. * What is your preferred last name? If your legal last name and preferred last name are the same, please input your legal last name. * Describe how you navigated tensions between data privacy and model transparency in securing AI training/pipelines. * BC or Ontario location confirmation. * Select... Do you have a legal right to work in Canada if hired by Greenhouse? * The national base pay range for this role is $155,600 - $233,400 CAD. We may discuss full compensation during the interview process. * How did you hear about this job? * Guidelines for using AI in our interviewing process * Acknowledge/Confirm Greenhouse outlines its policy on how candidates may use AI in hiring processes. We will review our approach to AI regularly. Are you subject to any non-compete, non-solicitation, or confidentiality agreements that would impact employment? * This hiring process uses AI tools to assist in candidate screening and assessment. Our tools are designed to complement human decision-making. #J-18808-Ljbffr