Datadog
Senior Product Security Engineer - AI Agents
At a Glance
About This Role
Bits Code is Datadog’s cloud coding agent which fixes the problems that Datadog surfaces, as automatically as possible. You’ll shape the architecture, tools, processes, and culture that keep security risk very low while working hands-on with the team to ship product features quickly.
At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.
What You'll Do:
- Own the security architecture and implementation of Bits Code from early design through production operation.
- Work with engineering, product, infrastructure, and security teams to identify risks and shape the product.
- Build threat models for new and existing agent risks such as prompt injection.
- Help the team ship secure software fast by writing and maintaining core libraries, and guiding processes and culture.
- Work with our sandbox teams on how Bits Code executes untrusted workloads.
- Be on call. Datadog culture is that you build it, you run it.
Who You Are:
- You have a BS/MS/PhD in Computer Science, Engineering, or a related scientific field, or at least 5+ years of professional experience, with a background in product security, application security, or security architecture.
- You have experience securing systems that operate across complex trust boundaries.
- You have experience building and operating full stack systems at scale.
- You are familiar with security risks in agentic systems and have experience designing against them.
- You make pragmatic security trade-offs.
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:
- Skilled, knowledgeable, and kind teammates to work with and learn from.
- Have a lot of influence on product direction and impact on the business.
- Competitive global benefits.
- Continuous professional development.
- An inclusive company culture.
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
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.
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. 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.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Source: Datadog careers · View original posting
About Datadog
Datadog, Inc. is a technology company based in New York City, founded in 2010 by Olivier Pomel and Alexis Lê-Quôc. It specializes in providing a comprehensive observability and monitoring platform for cloud-scale applications and IT infrastructure through a Software as a Service (SaaS) model. With over 5,200 employees and offices in major cities worldwide, Datadog has established itself as a leader in the industry. The company offers a cloud-based data analytics platform that includes infrastructure monitoring, application performance monitoring, log management, security monitoring, network performance monitoring, and user experience monitoring. Datadog's platform aggregates metrics, logs, and traces into a single dashboard, enabling real-time visibility and collaboration for software development teams, IT operations, and security teams. Its solutions are widely adopted across various industries, including technology, finance, retail, and media, supporting organizations that rely on cloud infrastructure and DevOps practices.
Security at Datadog
Compiled from public job postings, careers pages, and company materials. Data may not reflect current state — verify during interviews.
Security Philosophy
- Datadog frames application security as lifecycle coverage from development to production, prioritizing contextualized risk and developer workflows (IDE, PRs, CI/CD).
- They adopt a decentralized security model driven by a Security Champions program.
- Their philosophy includes integrating security into every step of the SDLC, catching issues early in the IDE, and automating secure code delivery in CI/CD workflows.
- They use their own platform extensively to understand a service's overall security posture, conduct security design reviews, and customize vulnerability severity scores based on context.
Security Team
Datadog's security organization includes specialized domains such as application security, platform security, cloud security, detection and response, and customer trust. They define role-level responsibilities for embedding controls and governance, with Engineering Managers (EMs) embedding AI security and privacy controls into CI/CD pipelines. The Security Champions program consists of engineers from both product and platform engineering teams. Information regarding the explicit reporting line for the AppSec team, specific team head names, direct AppSec leader LinkedIn profiles, active AppSec job posting counts, and granular team size is not publicly available from the searched sources.
Key Initiatives
- Datadog employs a Security Champions program, which is explicitly stated and driven by engineers from product and platform teams. Their 'shift-left' practices include integrating security into every step of the SDLC, catching issues early in the IDE, and automating secure code delivery in CI/CD workflows.
- They implement CI/CD quality gates to automatically block merges to default branches.
- For vulnerability management, they focus on continuous production visibility, automatically associating vulnerable services with their code owners and responsible teams, and detecting the exact location of vulnerabilities and their owners.
- They also conduct security design reviews.
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