Job Description

Overview Applied Security Research’s (ASR) main objective is to research, discover and disseminate findings on emerging vulnerabilities, tradecraft and attack paths in cloud technologies and services. Their findings are a portfolio of outputs that bolster the knowledge and security posture of the community, customers and Datadog. They challenge the current state of security architecture amongst these technologies to reshape the lines on how these products and services should be secured. Our researchers consistently discover critical vulnerabilities, catch sophisticated threat actors in customer environments, and share groundbreaking research via our Security Labs research blog and at top-tier security conferences. As a Generative AI Security Researcher, you’ll dive deep into Generative AI technologies and find novel approaches to exploit their architecture and security assumptions. You’ll take your findings and disseminate that knowledge through our detection, product and security engineering backlogs, open-source contributions, vulnerability disclosure and publicly facing content such as blogs and conference talks. By promoting your findings of you and your team, you’ll help build customer trust, awareness of our brand and make our stakeholders safer as they implement AI technologies. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do 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. Leverage your research to improve Datadog’s security posture against Generative AI threats and attacks. 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. Who You Are You have deep knowledge of common Generative AI technologies, foundational models 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. Bonus Points 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. Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That\'s okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth 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+ Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is:

$187,000 — $240,000 USD

Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. #J-18808-Ljbffr Datadog

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