Senior Security Researcher - GenAI

Summary

Join Datadog's Security Research team as a Generative AI Security Researcher and lead strategic research initiatives on Generative AI security. Conduct hands-on research to discover vulnerabilities and attack vectors in Generative AI and large language model technologies. Create proof-of-concept attacks and simulations to illustrate vulnerabilities and defensive strategies. Collaborate with product management, engineering, and detection engineering teams to translate research findings into actionable product improvements. Share your research findings through blog posts, webinars, and conference presentations. Work closely with cloud providers and open-source communities to responsibly disclose and remediate identified security issues. Partner with Threat Research and Detection Engineering teams to build detection content. Collaborate with customers to solve their security problems and build proof-of-concept attacks to demonstrate Datadog's detection capabilities.

Requirements

• You have deep knowledge of common Generative AI technologies and frameworks (MCP, A2A, LangGraph, CrewAI, etc.)
• You have a deep understanding of vulnerabilities specific to Generative AI, such as prompt injection, model poisoning, etc
• You are knowledgeable with the OWASP Top 10 for LLMs, and/or how common web security concepts (access controls, input handling, API security) apply to LLM models
• You have experience working in offensive security roles (penetration testing, red teaming) or vulnerability research with a focus on cloud or SaaS production environments/technologies
• You are comfortable with taking ambiguous requirements and creating a research plan, with measurable and tangible outcomes, as well as getting buy-in on the plan from stakeholders autonomously
• You are comfortable presenting and documenting your research findings with others: either internally at your current role, or publicly in conference talks and blog posts
• You are humble, precise, and thorough. You don’t just discover security issues, you can explain and bring others with you
• You are passionate about collaborating with stakeholders like detection engineers, product managers, software engineers, customers and other researchers
• You can comfortably write software to solve problems with and without AI tooling, and build systems for research purposes (eg. Go, Python, Rust, etc.)
• You are a strong communicator, both verbal and written

Responsibilities

• Drive strategic research initiatives on Generative AI security by proposing, validating, and executing innovative projects
• Conduct hands-on research to discover and demonstrate vulnerabilities, attack vectors, adversarial methods, and misconfigurations in Generative AI and large language model (LLM) technologies
• Create proof-of-concept attacks, simulations, and demonstrations to illustrate vulnerabilities and defensive strategies clearly
• Serve as a subject matter expert in Generative AI and collaborate with product management, engineering, and detection engineering teams to translate research findings into actionable product improvements
• Author and present impactful blog posts, webinars, and conference presentations to educate the broader security and AI community
• Engage closely with cloud providers, AI vendors, and open-source communities to responsibly disclose and remediate identified security issues
• Track, research and experiment with the latest tactics, techniques & procedures for attacking and defending Generative AI infrastructure
• Partner with our Threat Research and Detection Engineering teams to build detection content from industry-leading research
• Collaborate with highly technical customers about their security, listen to their needs, and work with the team to solve their problems
• Build proof of concept attacks and demonstrate how Datadog’s products can detect these attacks

Preferred Qualifications

• Experience working in a Security Research organization
• A proven track record in discovering, disclosing, and documenting vulnerabilities
• Experience presenting your research at large conferences
• Experience working in an OKR driven environment

Benefits

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits
• Healthcare, dental, parental planning, and mental health benefits
• A 401(k) plan and match
• Paid time off
• Fitness reimbursements
• A discounted employee stock purchase plan