Senior Offensive AI Security Researcher

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Product Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Note : By applying to the Software Development posting, recruiters and hiring managers across the organization hiring Software Engineers will review your resume. Our goal is for you to apply once and have your resume reviewed by multiple hiring teams. We are looking for a Senior Offensive AI Security Researcher with a strong offensive security and research mindset to lead novel adversarial research across Salesforce's AI ecosystem - uncovering critical and systemic vulnerabilities before they can be exploited. This role goes beyond finding individual bugs - it focuses on scoping, designing, and executing advanced research into emerging AI threat vectors, combining academic research with practical offensive methodologies to establish new TTPs targeting complex AI paradigms, including indirect prompt injection, tool abuse/excessive agency, RAG system poisoning, data extraction, and model/data supply chain compromises. You will work as a trusted partner to engineering and architecture teams - providing an offensive security perspective that shapes internal threat models, guides AI architecture decisions, supports corporate governance, and directly contributes to Salesforce's Generative AI Security Standard. Key Responsibilities: Lead Novel AI Security Research: Scope, design, and execute advanced adversarial research across Salesforce's AI ecosystem, applying a risk-based approach to uncover novel threat vectors before exploitation. Innovate & Operationalize AI Attack Techniques: Combine academic research with practical offensive methodologies to establish new TTPs targeting complex AI paradigms- specifically indirect prompt injection, tool abuse/excessive agency, RAG system poisoning, data extraction, and model/data supply chain compromises. Guide Strategy & Security Standards: Provide an offensive security perspective to guide AI architecture, shape internal threat models, support corporate governance, and directly contribute to Salesforce's Generative AI Security Standard. Disseminate Research: Publish internal and external threat intelligence, vulnerability analyses, and security research to keep Salesforce defenses aligned with state-of-the-art AI threat landscapes. Required Qualifications: 5+ years of experience in offensive security roles (vulnerability research, penetration testing, application security, or security engineering). 2+ years of hands-on experience auditing, breaking, or researching ML/AI systems, with deep expertise in LLM attack surfaces and frameworks (e.g., OWASP Top 10 for LLMs, MITRE ATLAS). Deep technical understanding of modern AI design patterns, including Retrieval-Augmented Generation (RAG), autonomous agentic workflows, model context protocols, and AI pipelines. High degree of proficiency in Python for exploit proof-of-concept development, data analysis, and technical evaluation. Proven track record of leading complex security initiatives and communicating critical, high-stakes technical risks to both research engineers and executive leadership. Preferred Qualifications: Advanced degree (MS or PhD) in Computer Science, Machine Learning, Cybersecurity, or a related field. A public portfolio of o